{ "count" : 114890, "data" : [ { "id" : "6a2c7dc574d8ee00a0950ca2", "title" : "Senior AI/Computer Vision Engineer", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 5000.0, "max" : 8000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Latvia", "locations" : [ "Latvia" ], "timestamp" : "2026-06-16T01:49:58.489", "fingerprint" : "e8b400a2651d73235270e185316e5b86d8149aa2166f6f3296036dacc2ee77e8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4232036009", "externalId" : "4232036009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Latvia", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Latvia", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, PyTorch, TensorFlow, C++, LLMs, ONNX, TensorRT, OpenVINO", "professionalSkills" : [ "System design", "Model evaluation", "Model deployment", "Production pipelines", "Inference systems" ], "hardSkillsList" : [ "Deep learning", "Computer vision", "Multimodal AI", "Edge computing", "Model optimization" ], "hardSkills" : [ { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Computer vision", "level" : "intermediate" }, { "name" : "Multimodal AI", "level" : "intermediate" }, { "name" : "Edge computing", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" } ], "majorSkills" : "AI, Computer Vision, Deep Learning, Edge Deployment", "majorSkillsList" : [ "AI", "Computer Vision", "Deep Learning", "Edge Deployment" ], "coreResponsibilities" : "Build AI systems end to end, Define problem requirements, Define data requirements, Train models, Validate models, Deploy models on edge devices, Integrate models into C++ pipelines, Translate product needs, Define system requirements, Define model requirements, Define evaluation requirements, Define data collection, Define data annotation, Define data validation, Train deep learning models, Optimize deep learning models, Build testing, Build benchmarking, Build failure analysis, Optimize models for edge devices, Integrate models into production inference systems, Work closely with software teams, Work closely with product teams, Ship reliable AI features", "teamCollaboration" : "Software teams; Product teams", "domainKnowledge" : "Computer vision; Applied AI; Deep learning; Edge devices; Multimodal models", "domainList" : [ "computer-vision", "applied-ai", "deep-learning", "edge-devices", "multimodal-models" ], "domainSpecificKnowledge" : [ "Computer vision", "Applied AI", "Deep learning", "Edge devices", "Multimodal models" ], "toolProficiency" : [ "MLflow", "Weights" ], "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Ship reliable AI features at scale", "qualificationsBasic" : "MS or PhD in Computer Science, 4+ years of experience, Python, PyTorch, TensorFlow, or similar, Detection, classification, segmentation, tracking, embeddings, or multimodal, Evaluation, deployment, and production, Optimizing models for edge, C++ production pipelines or inference, Fluent in English and Latvian", "qualificationsPreferred" : "Experience with LLMs, Experience with ONNX, TensorRT, OpenVINO, Experience with MLOps, Familiarity with model monitoring, Familiarity with post-deployment analysis", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. We’re looking for a Senior AI/Computer Vision Engineer to build AI systems end to end, from defining the problem and data requirements to training models, validating them, deploying on edge devices, and integrating them into C++ pipelines. This is a hands-on engineering role for someone who can take applied AI projects from concept to production and is comfortable working across modeling, evaluation, deployment, and system integration. Responsibilities: Own AI and computer vision projects end to end, from technical definition to production deployment; Translate product needs into system, data, model, and evaluation requirements; Define data collection, annotation, and validation strategies; Train and optimize deep learning models for real-world vision and multimodal applications; Build testing, benchmarking, and failure analysis workflows; Optimize models for edge devices with attention to latency, memory, throughput, and accuracy tradeoffs; Integrate models into production inference systems, including C++ edge pipelines; Work closely with software and product teams to ship reliable AI features at scale. Requirements: MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience; Strong Python skills; Solid experience with PyTorch, TensorFlow, or similar frameworks; 4+ years of experience building and shipping computer vision and/or applied AI systems; Hands-on experience with tasks such as detection, classification, segmentation, tracking, embeddings, or multimodal perception; Experience beyond model training, including evaluation, deployment, and production support; Experience optimizing models for edge or embedded environments; Strong software engineering skills, including C++ production pipelines or inference systems; Fluent in English and Latvian. Nice to have: Experience with LLMs or multimodal models in production; Experience with ONNX, TensorRT, OpenVINO, or TFLite; Experience with MLOps and experiment tools such as MLflow, Weights Familiarity with model monitoring and post-deployment analysis. Benefits: International work environment and work with global development teams; Ability to deliver software that is used by millions of people across the globe; Opportunity to leverage and integrate modern AI tools into product development; Access to all Ubiquiti products; Medical insurance; Hybrid approach - office in Riga; Flexible work hours; Compensation package matching global standards, including competitive salary depending on your qualification and background (starting from 5000 up to 8000 Euro gross monthly); A-class office with all the necessities - snacks, drinks, free parking, etc!", "summaryDescription" : "Senior AI/Computer Vision Engineer at Ubiquiti. Skills: AI, Computer Vision, Deep Learning, Edge Deployment. Build AI systems end to end. Define problem requirements", "postedDate" : "2026-06-14T20:05:44.229", "createdAt" : "2026-06-14T20:05:44.229", "lastUpdated" : "2026-06-16T01:49:58.489", "ingestTimestamp" : "2026-06-14T20:05:44.229", "mongoId" : "6a2c7dc574d8ee00a0950ca2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Deep learning", "Computer vision", "Multimodal AI", "Edge computing", "Model optimization", "AI", "Computer Vision", "Deep Learning", "Edge Deployment", "System design", "Model evaluation", "Model deployment", "Production pipelines", "Inference systems", "Applied AI", "Edge devices", "Multimodal models", "MLflow", "Weights" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68b706977fc9a711f0f6f4c5", "title" : "Sr PM-T (Computer Vision & AI)", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, alexa and amazon devices", "salary" : { "min" : 136100.0, "max" : 235200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T12:42:15.327", "fingerprint" : "a8aec6a309c1fabbe2e3faf7c7116ee22dd7bd14fa6aae310831dd5d4d18b0b5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3053711/apply", "externalId" : "0d729adc-c519-4d01-935e-b2ed36480ee9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Computer Vision, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "ROI analysis", "Cost analysis", "Quantitative analysis" ], "hardSkillsList" : [ "Analytical abilities", "Judgment" ], "hardSkills" : [ { "name" : "Analytical abilities", "level" : "intermediate" }, { "name" : "Judgment", "level" : "intermediate" } ], "majorSkills" : "Computer Vision AI, Product Management, AI Models", "majorSkillsList" : [ "Computer Vision AI", "Product Management", "AI Models" ], "coreResponsibilities" : "Understand customer experiences, Innovate using CV-AI, Collaborate with teams, Craft product vision, Develop investment roadmap, Design feedback experiences, Measure model efficacy, Evaluate AI model impact, Monitor CV-AI trends, Propose investment opportunities, Create SQL scripts, Coordinate with partners, Ensure responsible implementation, Protect customer privacy, Minimize potential harm, Define AI models, Develop training datasets, Analyze costs and ROI, Create validation mechanisms, Design A/B experiments, Document AI proposals, Prepare decision documents, Lead cross-functional collaboration, Drive customer experiences, Launch CV/AI models", "teamCollaboration" : "Cross-functional collaboration; Product Management peers; Applied Science; Engineering; Legal; Privacy; PR partners; Leadership", "projectManagementSkills" : [ "Roadmap strategy", "Roadmap definition" ], "domainKnowledge" : "Computer Vision; AI; Photo organization; Video organization; Customer trust; Customer privacy", "domainList" : [ "computer-vision", "ai", "photo-organization", "video-organization", "customer-trust", "customer-privacy" ], "domainSpecificKnowledge" : [ "Computer Vision", "AI", "Photo organization", "Video organization", "Customer trust", "Customer privacy" ], "toolProficiency" : [ "SQL" ], "communicationSkills" : "Decision-making documents", "documentationSkills" : "High-quality documents; Detailed analysis documents", "innovationCreativity" : "Innovate to enhance experiences", "problemSolvingSkills" : "Analyze complex issues; Analytical abilities; Judgment", "qualificationsBasic" : "2+ years product delivery, 5+ years technical PM, Bachelor's degree, Contribute to engineering discussions, Experience with feature delivery, Experience owning roadmap strategy, Experience managing technical products, Advocate for customers and stakeholders", "qualificationsPreferred" : "Communicate effectively and respectfully, Follow federal, state, local laws, Adhere to company policies, Exercise sound judgment, Manage stress, Work safely and respectfully, Exhibit trustworthiness and professionalism, Safeguard business operations, Safeguard company reputation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Photos is looking for a Senior Technical Product Manager to lead our Photo & Video Computer Vision AI (CV-AI) product portfolio. You'll drive AI technology that understands elements of customers' photos and videos while preserving customer trust. This deep understanding powers search, organization, and curated memories that reach millions of customers through Amazon Photos apps, Echo Show, and Fire TV. The ideal candidate is passionate about building delightful experiences for customers using AI and thrives on dealing with ambiguity head-on. You write high-quality documents to help the team analyze complex issues and make sound recommendations using your analytical abilities and strong judgment. You love to learn by diving deep into both customer behaviors and technology, using this superpower to deliver results. At the same time, you think ahead and big to help the team build a compelling vision, strategy, and roadmap. Key job responsibilities 1. Understand customer experiences across Amazon Photos Apps, Echo Show, and Fire TV, including backup, search, browsing, organization, memories, and sharing. Innovate to enhance these experiences using CV-AI. 2. Collaborate with Applied Science, Engineering, Product Management peers, and Leadership to craft Amazon Photos' product vision. Develop a prioritized CV-AI investment roadmap based on ROI and cost analysis. 3. Work with UI Product Managers to design experiences that collect implicit and explicit customer feedback, measuring CV model efficacy. 4. Evaluate AI models' impact on customer and business metrics through offline and production testing. Monitor emerging CV-AI trends and propose new investment opportunities through detailed analysis documents. 5. Create and execute SQL-like scripts for quantitative analysis. 6. Coordinate with Legal, PR, and Privacy partners to ensure responsible CV-AI implementation that protects customer privacy and minimizes potential harm. A day in the life 1. Define AI models that serve customer needs for Photos, Videos, and Memories. 2. Develop strategies to acquire and validate training datasets for AI models. 3. Analyze costs and ROI in partnership with Applied Science and Engineering teams. 4. Create offline validation mechanisms with Applied Science and Engineering teams. 5. Design and implement A/B experiments to measure success metrics. Document proposals for major AI investments. 6. Prepare comprehensive decision-making documents for the team and leadership, analyzing critical choices including one-way-door decisions. 7. Lead cross-functional collaboration with Product Management peers, Applied Science, Engineering, Legal, Privacy, and PR partners. 8. Drive end-to-end customer experiences to launch specific CV/AI models to market. About the team Amazon Photos helps customers preserve and re-live their memories. The service comes with unlimited photo storage for Prime members and apps are available on iOS, Android, Web, Desktop, & Fire TV. The service is also integrated into Alexa devices such as Echo Show. Amazon Photos is the one of the main digital offering to Prime subscribers along with Amazon Music and Amazon Video offerings. We have ambitious goals to scale growth and adoption of the service around the world and delight our customers with a great product. Basic Qualifications: - 2+ years of end to end product delivery experience - 5+ years of technical product or program management experience - Bachelor's degree - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Preferred Qualifications: - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools - Experience driving executive alignment on high-stakes/one-way-door decisions with implications on high engineering or operational cost, brand reputation, and/or CX. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr PM-T (Computer Vision & AI) at Amazon.com Services LLC. Skills: Computer Vision AI, Product Management, AI Models. Understand customer experiences. Innovate using CV-AI", "postedDate" : "2026-06-14T01:51:36.106", "createdAt" : "2026-06-14T01:51:36.106", "lastUpdated" : "2026-06-15T12:42:15.327", "ingestTimestamp" : "2026-06-14T01:51:36.106", "mongoId" : "68b706977fc9a711f0f6f4c5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3053711/apply", "salaryAnnualMin" : 136100, "salaryAnnualMax" : 235200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Analytical abilities", "Judgment", "Computer Vision AI", "Product Management", "AI Models", "Product strategy", "Roadmap development", "User stories", "ROI analysis", "Cost analysis", "Quantitative analysis", "Roadmap strategy", "Roadmap definition", "Computer Vision", "AI", "Photo organization", "Video organization", "Customer trust", "Customer privacy", "SQL" ], "skillCount" : 20, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307fadf292fd229c05c29e", "title" : "Software Engineer III, AI/ML Computer Vision, AR", "industry" : "Technology", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer III in San Jose, adjusted for the Technology industry and AI/ML specialization." }, "location" : "[San José, CA, USA, [San Jose, CA, USA], San Jose, null, CA, US]", "locations" : [ "[San José, CA, USA, [San Jose, CA, USA], San Jose, null, CA, US]" ], "timestamp" : "2026-06-16T15:06:12.719", "fingerprint" : "a1eb1fe1d49bcf844ae3f0a52e6939475d7a5548f0bbdc63e3a815f1c3be1648", "source" : "google", "language" : "en", "externalId" : "101354412026274502", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3361663,-121.8905910" } ], "locationText" : "San Jose, California, United States", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Computer Vision, AI, ML", "majorSkills" : "Computer Vision, AI, ML", "majorSkillsList" : [ "Computer Vision", "AI", "ML" ], "domainKnowledge" : "Augmented Reality", "domainList" : [ "augmented-reality" ], "domainSpecificKnowledge" : [ "Augmented Reality" ], "summaryDescription" : "Software Engineer III, AI/ML Computer Vision, AR. Skills: Computer Vision, AI, ML", "postedDate" : "2026-06-16T01:51:42.293", "createdAt" : "2026-06-16T01:51:42.293", "lastUpdated" : "2026-06-16T15:06:12.719", "ingestTimestamp" : "2026-06-16T01:51:42.293", "mongoId" : "6a307fadf292fd229c05c29e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Computer Vision", "AI", "ML", "Augmented Reality" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc474d8ee00a0950b7f", "title" : "Embedded Computer Vision Engineer", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Embedded Computer Vision Engineer in Taiwan, adjusted for mid-level experience and the technology industry." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T09:13:50.947", "fingerprint" : "eff08ba10cd171b14f8ab2e4a3f71e82f9810361f9e93770a40a48437069ecc0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4202782009", "externalId" : "4202782009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, C/C++, Deep learning, ONNX, TensorRT, QNN, PyTorch, TensorFlow, LLMs, VLMs", "professionalSkills" : [ "System design", "Project execution" ], "hardSkillsList" : [ "Object detection", "Event triggering", "Tracking", "Model optimization", "Quantization", "Pruning", "Compression", "Performance debugging", "Action recognition", "Video analytics" ], "hardSkills" : [ { "name" : "Object detection", "level" : "intermediate" }, { "name" : "Event triggering", "level" : "intermediate" }, { "name" : "Tracking", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Quantization", "level" : "intermediate" }, { "name" : "Pruning", "level" : "intermediate" }, { "name" : "Compression", "level" : "intermediate" }, { "name" : "Performance debugging", "level" : "intermediate" }, { "name" : "Action recognition", "level" : "intermediate" }, { "name" : "Video analytics", "level" : "intermediate" } ], "majorSkills" : "Embedded AI, Computer vision, Deep learning deployment", "majorSkillsList" : [ "Embedded AI", "Computer vision", "Deep learning deployment" ], "coreResponsibilities" : "Develop on-camera AI pipelines, Maintain on-camera AI pipelines, Port deep learning models, Convert deep learning models, Optimize deep learning models, Integrate AI inference engines, Validate AI inference engines, Collaborate with hardware teams, Collaborate with firmware teams, Train computer vision models, Fine-tune computer vision models, Benchmark computer vision models, Profile performance bottlenecks, Debug performance bottlenecks, Build reusable frameworks, Improve reusable frameworks, Build CI/CD pipelines, Improve CI/CD pipelines", "teamCollaboration" : "Cross-functional teams; International teams", "domainKnowledge" : "AI camera solutions; NPU acceleration; Edge AI; Resource-constrained devices", "domainList" : [ "ai-camera-solutions", "npu-acceleration", "edge-ai", "resource-constrained-devices" ], "domainSpecificKnowledge" : [ "AI camera solutions", "NPU acceleration", "Edge AI", "Resource-constrained devices" ], "toolProficiency" : [ "ONNX Runtime", "SNPE" ], "problemSolvingSkills" : "Performance debugging", "qualificationsBasic" : "MS or PhD, 3+ years professional experience, Python and C/C++ proficiency, Deep learning framework experience, Model optimization techniques experience, English communication skills", "qualificationsPreferred" : "Computer vision or NLP experience, Deploying models on embedded platforms, NPU or AI accelerator hardware experience, Model conversion toolchains experience, NPI or product development lifecycle experience, LLMs and VLMs familiarity, CI/CD, automated testing, or MLOps experience, Project ownership or mentoring experience", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for an experienced Embedded Computer Vision Engineer to join our growing AI team. In this role, you will work across the full lifecycle of AI-powered camera products — from training and optimizing deep learning models, to deploying them on embedded camera platforms with NPU acceleration, to building the on-device applications that enable intelligent camera features. You will collaborate closely with software, firmware, and hardware teams to deliver high-quality, production-ready AI camera solutions. Responsibilities (What he/she will do after joining UI) Develop and maintain on-camera AI application pipelines, including object detection, event triggering, tracking, and camera peripheral control Port, convert, and optimize deep learning models for deployment across multiple SoC/NPU platforms while maintaining accuracy and real-time performance Integrate and validate AI inference engines with vendor-specific NPU SDKs and toolchains such as ONNX, TensorRT, QNN, or similar frameworks Collaborate with hardware and firmware teams on New Product Introduction (NPI) for next-generation AI cameras, from early SoC evaluation through production bring-up Train, fine-tune, and benchmark computer vision models for tasks such as detection, classification, action recognition, and video analytics Profile and debug performance bottlenecks across CPU, GPU, and NPU to meet latency, throughput, and power constraints Build and improve reusable frameworks, tools, and CI/CD pipelines for model conversion, testing, and deployment at scale Contribute to technical direction and system design for AI camera platforms; candidates with leadership experience may also help guide project execution and mentor engineers Requirement (Must-Haves) MS or PhD in Computer Science, Electrical Engineering, or a related field or equivalent practical experience 3+ years of professional experience in edge AI system deployment Strong proficiency in Python and C/C++ Hands-on experience with at least one deep learning framework such as PyTorch or TensorFlow Experience with model optimization techniques such as quantization, pruning, knowledge distillation, or compression for resource-constrained devices Strong English communication skills, with the ability to collaborate effectively across international and cross-functional teams Preferred Qualifications Experience in computer vision or NLP, including deep learning applications such as action recognition, anomaly detection, or video analytics Experience deploying deep learning models on embedded or edge platforms with NPU or AI accelerator hardware such as Ambarella, Qualcomm, InnoFusion, MediaTek, or similar SoCs Familiarity with model conversion toolchains and runtime engines such as TensorRT, ONNX Runtime, or SNPE Hands-on experience in NPI or product development lifecycle for camera or IoT hardware Familiarity with Large Language Models (LLMs) and Vision Language Models (VLMs) is a plus Experience with CI/CD, automated testing, or MLOps for edge AI deployment is a plus Demonstrated project ownership or mentoring experience is a plus Self-motivated, collaborative, and comfortable working in a fast-paced environment with challenging technical problems", "summaryDescription" : "Embedded Computer Vision Engineer at Ubiquiti. 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"title" : "Sr. Autonomous Vehicle AI Engineer - Computer Vision and Path Planning", "company" : "Blue Origin", "industry" : "Spaceflight", "salary" : { "min" : 197529.0, "max" : 276539.56, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-05-18T15:15:37.220", "fingerprint" : "b6cf5408b98bcd524289f78891ec4cdf40d4792e4592bc86ca92b7c3c606bd32", "source" : "workday", "language" : "en", "applyUrl" : "https://blueorigin.wd5.myworkdayjobs.com/BlueOrigin/job/Greater-Seattle-Area/Sr-Autonomous-Vehicle-AI-Engineer---Computer-Vision-and-Path-Planning_R64816", "externalId" : "R64816", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "city" : "Pflugerville", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "Pflugerville, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, machine learning, robotics, deep learning, computer vision, path planning, object detection, classification, semantic segmentation, anomaly detection, neural networks, sensor fusion, environmental perception, Python, C++, PyTorch, TensorFlow, reinforcement learning (RL), transformers, large machine learning models, embedded systems", "professionalSkills" : [ "Autonomous driving scenarios", "Autonomous vehicle AI", "Spaceflight", "Robotics", "Aerospace Engineering", "Guidance, Navigation, and Control (GNC) concepts" ], "hardSkillsList" : [ "Developing AI-driven computer vision algorithms", "Developing, training, and testing machine learning models", "Implementing and testing path planning algorithms", "Training, validating, and deploying neural networks", "Optimizing for accuracy, speed, and reliability", "Designing, building, and using high-fidelity 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{ "name" : "State/action space design", "level" : "intermediate" }, { "name" : "Reward shaping", "level" : "intermediate" }, { "name" : "Deploying and debugging software on embedded systems or robotic hardware", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Passion for space exploration" }, { "name" : "Desire to apply skills to solve complex, real-world challenges" }, { "name" : "Ability to work collaboratively" }, { "name" : "Fast-paced, cross-functional team environment" }, { "name" : "Creative and first-principles approach" }, { "name" : "Collaboration" }, { "name" : "Inclusion" } ], "majorSkills" : "Computer Vision, Path Planning, AI, Machine Learning, Deep Learning, Robotics", "majorSkillsList" : [ "Computer Vision", "Path Planning", "AI", "Machine Learning", "Deep Learning", "Robotics" ], "coreResponsibilities" : "Contribute to the development of AI-driven computer vision algorithms, Develop, train, and test machine learning models, Implement and test path planning algorithms, Train, validate, and deploy neural networks, Design, build, and use high-fidelity simulation environments, Analyze data from simulations and flight tests, Support the continuous improvement of in-house machine learning pipelines and tools, Optimize AI models for edge and cloud deployment", "teamCollaboration" : "Collaborate with a multidisciplinary team of GNC, software, and hardware engineers; Work collaboratively in a fast-paced, cross-functional team environment", "domainKnowledge" : "Autonomous vehicle AI; Computer Vision; Path Planning; Robotics; Spaceflight; Guidance, Navigation, and Control (GNC) concepts", "domainList" : [ "autonomous-vehicle-ai", "computer-vision", "path-planning", "robotics", "spaceflight", "guidance", "navigation", "and-control-gnc-concepts" ], "domainSpecificKnowledge" : [ "Autonomous vehicle AI", "Computer Vision", "Path Planning", "Robotics", "Spaceflight", "Guidance, Navigation, and Control (GNC) concepts" ], "toolProficiency" : [ "PyTorch", "TensorFlow", "Gazebo", "NVIDIA Isaac Sim" ], "continuousLearning" : "Education Support Program", "innovationCreativity" : "Fosters innovation; Drives engineering workflows of the future; Creative and first-principles approach", "problemSolvingSkills" : "Excellent analytical and problem-solving skills; Solve some of the most challenging problems in spaceflight; Solve complex optimization or control problems", "specialRequirements" : "U. S. citizen or national, U. S. permanent resident (i. e. current Green Card holder), or lawfully admitted into the U. S. as a refugee or granted asylum, Blue’s Standard Background Check, Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation, Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training, Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical", "outcomesObjectives" : "Accurately perceive and understand a vehicle's environment; Ensure safe and efficient navigation; Achieve real-time performance on flight-qualified hardware; Integrate AI/ML solutions into the vehicle's avionics and flight software systems; Test and validate autonomous algorithms against a wide range of mission scenarios and off-nominal conditions; Assess and improve the performance of perception and decision-making systems; Improve the performance of perception and decision-making systems; Address challenges such as latency, model compression, and distributed computing; Make a significant impact on the future of transportation; Define the safety and reliability of our autonomous vehicles", "qualificationsBasic" : "PhD in Computer Science, Robotics, AI, Machine Learning, Aerospace Engineering, or a related field, 5 + years of experience in applying deep learning to computer vision or decision-making, Theoretical understanding of sensor fusion, environmental perception, and path planning algorithms, High proficiency in Python and/or C++, Experience using deep learning libraries such as PyTorch or TensorFlow, Ability to work collaboratively in a fast-paced, cross-functional team environment, Excellent analytical and problem-solving skills, with a creative and first-principles approach", "qualificationsPreferred" : "Experience designing, implementing, and training reinforcement learning (RL) agents to solve complex optimization or control problems, including problem formulation, state/action space design, and reward shaping, Experience with simulation environments (e. g. , Gazebo, NVIDIA Isaac Sim) and their application to robotics or aerospace, Familiarity with classical Guidance, Navigation, and Control (GNC) concepts, Experience with transformers and large machine learning models, Hands-on experience with deploying and debugging software on embedded systems or robotic hardware", "remoteFriendly" : true, "workSiteFlexibility" : "No", "rawDescription" : "Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of Advanced Concepts and Enterprise Engineering (ACE), supporting Blue Origin’s mission of millions of people living and working in space for the benefit of Earth. The team fosters innovation and drives engineering workflows of the future, shared solutions and standards, simplicity and lower costs, and manufacturable design. This position is for a passionate and driven engineer who wants to apply their skills in AI, machine learning, and robotics to solve some of the most challenging problems in spaceflight. You will be part of a dynamic team responsible for creating systems that allow our vehicles to perceive their environment, make intelligent decisions, and execute complex maneuvers with precision and safety. **Key Responsibilities:** * Contribute to the development of AI-driven computer vision algorithms to accurately perceive and understand a vehicle's environment using data from cameras, LiDAR, and other sensors. * Develop, train, and test machine learning models for object detection, classification, semantic segmentation, and anomaly detection specific to autonomous driving scenarios. * Implement and test path planning algorithms using modern decision-making techniques to ensure safe and efficient navigation. * Train, validate, and deploy neural networks for real-time performance on flight-qualified hardware, optimizing for accuracy, speed, and reliability. * Collaborate with a multidisciplinary team of GNC, software, and hardware engineers to integrate AI/ML solutions into the vehicle's avionics and flight software systems. * Design, build, and use high-fidelity simulation environments to test and validate autonomous algorithms against a wide range of mission scenarios and off-nominal conditions. * Analyze data from simulations and flight tests to assess and improve the performance of perception and decision-making systems. * Support the continuous improvement of in-house machine learning pipelines and tools for data management, model training, and performance monitoring. * Optimize AI models for edge and cloud deployment, addressing challenges such as latency, model compression, and distributed computing. **Minimum Qualifications:** * PhD in Computer Science, Robotics, AI, Machine Learning, Aerospace Engineering, or a related field. * 5 + years of experience in applying deep learning to computer vision or decision-making. * Strong theoretical understanding of sensor fusion, environmental perception, and path planning algorithms. * High proficiency in Python and/or C++, along with experience using deep learning libraries such as PyTorch or TensorFlow. * A passion for space exploration and a desire to apply your skills to solve complex, real-world challenges. * Ability to work collaboratively in a fast-paced, cross-functional team environment. * Excellent analytical and problem-solving skills, with a creative and first-principles approach. **Desired:** * Experience designing, implementing, and training reinforcement learning (RL) agents to solve complex optimization or control problems, including problem formulation, state/action space design, and reward shaping. * Experience with simulation environments (e.g., Gazebo, NVIDIA Isaac Sim) and their application to robotics or aerospace. * Familiarity with classical Guidance, Navigation, and Control (GNC) concepts. * Experience with transformers and large machine learning models. * Hands-on experience with deploying and debugging software on embedded systems or robotic hardware. As an Autonomous Vehicle AI Engineer, you'll have the opportunity to make a significant impact on the future of transportation by crafting the vision systems and decision-making algorithms that define the safety and reliability of our autonomous vehicles. Your contributions will be vital in driving forward innovation in a field that promises to revolutionize global mobility. If you are passionate about AI and its potential in the autonomous vehicle industry, we encourage you to apply. ### Compensation Range for: WA applicants is $197,529.00 - $276,539.55 **Other site ranges may differ** **Culture Statement** Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. **Export Control Regulations** Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. **Background Check** * Required for all positions: Blue’s Standard Background Check * Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation * Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. * Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical **Benefits** * Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. * Stock Options for all regular employees (working at least 20 hours/week) * Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. * Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details. **Equal Employment Opportunity** Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “Know Your Rights,” please see [here](https://www.eeoc.gov/poster). **Affirmative Action and Disability Accommodation** Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at [EEOCompliance@blueorigin.com](mailto:EEOCompliance@blueorigin.com). Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.", "summaryDescription" : "Sr. Autonomous Vehicle AI Engineer - Computer Vision and Path Planning at Blue Origin. Skills: Computer Vision, Path Planning, AI, Machine Learning, Deep Learning, Robotics. Contribute to the development of AI-driven computer vision algorithms. 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S. as a refugee or granted asylum, Blue’s Standard Background Check, Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation, Drivers who operate Commercial Motor Vehicles may be subject to additional Federal Motor Carrier Safety Regulations, Ability to obtain and maintain Merchant Mariner Credential", "outcomesObjectives" : "Ensure safe and efficient navigation; Optimize for accuracy, speed, and reliability; Improve the performance of perception and decision-making systems; Make a significant impact on the future of transportation; Define the safety and reliability of our autonomous vehicles", "qualificationsBasic" : "PhD in Computer Science, Robotics, AI, Machine Learning, Aerospace Engineering, or a related field, 5 + years of experience in applying deep learning to computer vision or decision-making, Theoretical understanding of sensor fusion, environmental perception, and path planning algorithms, High proficiency in Python and/or C++, Experience using deep learning libraries such as PyTorch or TensorFlow, Ability to work collaboratively in a fast-paced, cross-functional team environment, Excellent analytical and problem-solving skills, with a creative and first-principles approach", "qualificationsPreferred" : "Experience designing, implementing, and training reinforcement learning (RL) agents to solve complex optimization or control problems, including problem formulation, state/action space design, and reward shaping, Experience with simulation environments (e. g. , Gazebo, NVIDIA Isaac Sim) and their application to robotics or aerospace, Familiarity with classical Guidance, Navigation, and Control (GNC) concepts, Experience with transformers and large machine learning models, Hands-on experience with deploying and debugging software on embedded systems or robotic hardware", "remoteFriendly" : true, "workSiteFlexibility" : "No", "rawDescription" : "Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of Advanced Concepts and Enterprise Engineering (ACE), supporting Blue Origin’s mission of millions of people living and working in space for the benefit of Earth. The team fosters innovation and drives engineering workflows of the future, shared solutions and standards, simplicity and lower costs, and manufacturable design. This position is for a passionate and driven engineer who wants to apply their skills in AI, machine learning, and robotics to solve some of the most challenging problems in spaceflight. You will be part of a dynamic team responsible for creating systems that allow our vehicles to perceive their environment, make intelligent decisions, and execute complex maneuvers with precision and safety. **Key Responsibilities:** * Contribute to the development of AI-driven computer vision algorithms to accurately perceive and understand a vehicle's environment using data from cameras, LiDAR, and other sensors. * Develop, train, and test machine learning models for object detection, classification, semantic segmentation, and anomaly detection specific to autonomous driving scenarios. * Implement and test path planning algorithms using modern decision-making techniques to ensure safe and efficient navigation. * Train, validate, and deploy neural networks for real-time performance on flight-qualified hardware, optimizing for accuracy, speed, and reliability. * Collaborate with a multidisciplinary team of GNC, software, and hardware engineers to integrate AI/ML solutions into the vehicle's avionics and flight software systems. * Design, build, and use high-fidelity simulation environments to test and validate autonomous algorithms against a wide range of mission scenarios and off-nominal conditions. * Analyze data from simulations and flight tests to assess and improve the performance of perception and decision-making systems. * Support the continuous improvement of in-house machine learning pipelines and tools for data management, model training, and performance monitoring. * Optimize AI models for edge and cloud deployment, addressing challenges such as latency, model compression, and distributed computing. **Minimum Qualifications:** * PhD in Computer Science, Robotics, AI, Machine Learning, Aerospace Engineering, or a related field. * 5 + years of experience in applying deep learning to computer vision or decision-making. * Strong theoretical understanding of sensor fusion, environmental perception, and path planning algorithms. * High proficiency in Python and/or C++, along with experience using deep learning libraries such as PyTorch or TensorFlow. * A passion for space exploration and a desire to apply your skills to solve complex, real-world challenges. * Ability to work collaboratively in a fast-paced, cross-functional team environment. * Excellent analytical and problem-solving skills, with a creative and first-principles approach. **Desired:** * Experience designing, implementing, and training reinforcement learning (RL) agents to solve complex optimization or control problems, including problem formulation, state/action space design, and reward shaping. * Experience with simulation environments (e.g., Gazebo, NVIDIA Isaac Sim) and their application to robotics or aerospace. * Familiarity with classical Guidance, Navigation, and Control (GNC) concepts. * Experience with transformers and large machine learning models. * Hands-on experience with deploying and debugging software on embedded systems or robotic hardware. As an Autonomous Vehicle AI Engineer, you'll have the opportunity to make a significant impact on the future of transportation by crafting the vision systems and decision-making algorithms that define the safety and reliability of our autonomous vehicles. Your contributions will be vital in driving forward innovation in a field that promises to revolutionize global mobility. If you are passionate about AI and its potential in the autonomous vehicle industry, we encourage you to apply. ### Compensation Range for: WA applicants is $197,529.00 - $276,539.55 **Other site ranges may differ** **Culture Statement** Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. **Export Control Regulations** Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. **Background Check** * Required for all positions: Blue’s Standard Background Check * Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation * Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. * Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical **Benefits** * Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. * Stock Options for all regular employees (working at least 20 hours/week) * Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. * Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details. **Equal Employment Opportunity** Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “Know Your Rights,” please see [here](https://www.eeoc.gov/poster). **Affirmative Action and Disability Accommodation** Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at [EEOCompliance@blueorigin.com](mailto:EEOCompliance@blueorigin.com). Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.", "summaryDescription" : "Sr. Autonomous Vehicle AI Engineer - Computer Vision and Path Planning at Blue Origin. Skills: AI, Machine Learning, Computer Vision, Path Planning, Autonomous Vehicles. Contribute to the development of AI-driven computer vision algorithms. 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At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company’s mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. What You’ll Do Reports to: Director of AI Research Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success. Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow. Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection. Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data. Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings. Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices. Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products. Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community. Coach and mentor junior scientists. What You Bring PhD and 3+ years experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields. Proven track record of research in machine learning, computer vision or related fields. Experience driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale. Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition. Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences. Experience in developing computer vision algorithms for resource-constrained edge devices or embedded systems preferred but optional. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work #LI-Hybrid Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers. Base Pay Range $159,750—$255,600 USD Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.", "summaryDescription" : "Senior Computer Vision and Machine Learning Research Scientist at Axon", "postedDate" : "2026-06-14T20:07:40.315", "createdAt" : "2026-06-14T20:07:40.315", "lastUpdated" : "2026-06-16T02:12:00.009", "ingestTimestamp" : "2026-06-14T20:07:40.315", "mongoId" : "6a2c6ad074d8ee00a090e3c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ccd1474d8ee00a0a28dbe", "title" : "Computer Vision and Machine Learning Engineer (Daylight UAV detection & tracking)", "company" : "Everstar", "industry" : "Technology", "salary" : { "min" : 2000000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Computer Vision and Machine Learning Engineer in the Technology industry in India, adjusted for seniority and company size." }, "location" : "Kyiv | Київ, UA", "locations" : [ "Kyiv | Київ", "UA" ], "timestamp" : "2026-06-16T02:44:56.939", "fingerprint" : "fe104a0988826e645d4713302d0a649a8ec620c25669514fae1210b5bdaeaa9a", "source" : "breezyhr", "language" : "uk", "applyUrl" : "https://everstar.breezy.hr/p/aee0f6412eec-computer-vision-and-machine-learning-engineer-daylight-uav-detection-tracking", "externalId" : "aee0f6412eec", "industryFunction" : { }, "structuredLocations" : [ { "city" : "kyiv", "state" : "kyiv city", "country" : "Ukraine", "continent" : "europe", "source" : "locations-index", "geo" : "50.45466,30.5238" } ], "locationText" : "Kyiv | Київ, UA", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Create products, Improve products", "teamCollaboration" : "R&D teams", "domainKnowledge" : "MilTech", "domainList" : [ "miltech" ], "domainSpecificKnowledge" : [ "MilTech" ], "innovationCreativity" : "R&D projects", "rawDescription" : "Ми — EVERSTAR, перша рекрутингова агенція в MilTech для тих, хто готовий створювати технологічне майбутнє. Але досить про нас, розказуємо про головну вакансію. Це роль в R&D-команді, де інженери різних напрямів разом створюють і вдосконалюють продукти, що вже довели свою ефективність у сот", "summaryDescription" : "Computer Vision and Machine Learning Engineer (Daylight UAV detection & tracking) at Everstar. Create products. 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3D computer vision technologies", "specialRequirements" : "Work in EST working hours", "qualificationsBasic" : "Proven experience building computer vision solutions, Proficiency in Python, Proficiency in C++, Hands-on experience using OpenCV, Hands-on experience using PyTorch, Solid understanding of deep learning architectures, Experience working with 3D vision topics, Familiarity with geospatial data, Familiarity with point clouds, Familiarity with visual-inertial systems, Knowledge of cloud platforms, Knowledge of production deployment practices, Experience with microservices, Experience with APIs, Experience with NoSQL databases, Ability to work effectively in EST working hours", "qualificationsPreferred" : "Bachelor’s degree in Computer Science, Bachelor’s degree in Engineering, Bachelor’s degree in Mathematics, Bachelor’s degree in a related technical field", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, develop, and deploy computer vision models for real-world applications including object detection, segmentation, and 3D scene understanding. Train and fine-tune AI models using custom datasets, ensuring high performance and robustness in production environments. Work on Structure-from-Motion, 3D reconstruction, photogrammetry, point cloud processing, and mesh generation workflows. Develop and maintain scalable backend systems using microservice architecture, APIs, and NoSQL databases. Deploy and optimize applications in cloud environments, ensuring reliability and performance at scale. Collaborate with cross-functional teams to integrate computer vision solutions into end-to-end platforms. Requirements: Proven experience building and deploying computer vision solutions for real-world use cases. Strong proficiency in Python and C++, with hands-on experience using OpenCV, PyTorch, and related frameworks. Solid understanding of deep learning architectures for object detection, segmentation, and related vision tasks. Experience working with 3D vision topics such as SLAM, photogrammetry, and spatial reconstruction. Familiarity with geospatial data, point clouds, and visual-inertial systems. Knowledge of cloud platforms and production deployment practices. Experience with microservices, APIs, and NoSQL databases in production systems. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field preferred. Self-starter mindset with strong ownership, resilience, and a collaborative attitude. Ability to work effectively in EST working hours to collaborate with international teams. Benefits: Competitive salary range: $120,000 – $130,000 (semi-monthly structure). 100% remote work flexibility. Flexible paid time off (PTO). Comprehensive medical, dental, vision, and life insurance coverage. People-first culture emphasizing collaboration and inclusivity. Opportunity to work on cutting-edge AI and 3D computer vision technologies. Mission-driven work contributing to clean energy and sustainability impact. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Computer Vision Engineer. Skills: Computer vision, 3D reconstruction, Deep learning, Microservices. Design computer vision models. Develop computer vision models", "postedDate" : "2026-06-12T09:51:10.924", "createdAt" : "2026-06-12T09:51:10.924", "lastUpdated" : "2026-06-15T22:55:55.555", "ingestTimestamp" : "2026-06-14T21:09:44.232", "mongoId" : "6a2cb20874d8ee00a09df02a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 1440000, "salaryAnnualMax" : 1560000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "3D reconstruction", "Mesh generation", "Point cloud processing", "Collaborative attitude", "Computer vision", "Deep learning", "Microservices", "Computer vision modeling", "AI model training", "Backend systems development", "Cloud deployment", "Solution integration", "Object detection", "Segmentation", "3D scene understanding", "Structure-from-Motion", "Photogrammetry", "SLAM", "Spatial reconstruction", "Geospatial data", "Visual-inertial systems", "Microservice architecture", "Cloud environments", "OpenCV", "PyTorch" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5da874d8ee00a08dd901", "title" : "AI Research Scientist -Computer Vision", "company" : "Meltplan", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior AI Research Scientist in Technology in India, adjusted for seniority and company size." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-14T22:53:37.143", "fingerprint" : "ba07015c1dabff3da0e4c50809569686a6d4ea09db2631d3ff5ae7b9a5f5ff4a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/meltplan/jobs/4245005009", "externalId" : "4245005009", "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "minimumEducation" : "Bachelor's", "domainKnowledge" : "Construction industry; Computer Vision; Deep Learning; Machine Learning; Multimodal AI; Document understanding; Spatial reasoning; Vision Transformers; Generative AI", "domainList" : [ "construction-industry", "computer-vision", "deep-learning", "machine-learning", "multimodal-ai", "document-understanding", "spatial-reasoning", "vision-transformers", "generative-ai" ], "domainSpecificKnowledge" : [ "Construction industry", "Computer Vision", "Deep Learning", "Machine Learning", "Multimodal AI", "Document understanding", "Spatial reasoning", "Vision Transformers", "Generative AI" ], "rawDescription" : "MeltPlan | Planning Engine for the Built Environment MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders. MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn healthtech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution. What This Role Really Is We are looking for an AI Research Scientist – Computer Vision to enhance and manage the PlanGraph model, which transforms 2D drawings into structured graphical representations of building elements. The role involves solving downstream business use cases such as quantity takeoff, code compliance, value engineering, and constructability analysis.We are specifically looking for hands-on researchers with experience in solving real-world Computer Vision problems and building custom vision models, VLMs, or VLLMs for production-grade applications. What You’ll Do Build and optimize custom Computer Vision models, VLMs, and VLLMs for construction intelligence workflows. Solve downstream business use cases including quantity takeoff, code compliance, value engineering, and constructability analysis. Conduct applied research in Computer Vision, multimodal AI, document understanding, and spatial reasoning. Design, train, fine-tune, and evaluate production-grade AI models using large-scale datasets. Improve model accuracy, robustness, inference performance, and scalability for real-world deployment. Collaborate closely with engineering and product teams to convert research into deployable AI systems. Develop benchmarking, evaluation, and validation frameworks for model performance measurement. Stay updated with state-of-the-art research in Computer Vision, Vision Transformers, multimodal AI, and Generative AI. Contribute to research documentation, patents, publications, and internal technical knowledge sharing. Work on real-world construction datasets, drawings, and complex edge-case problem solving. Drive innovation in AI systems that improve planning, decision-making, and operational efficiency in construction workflows. What We’re Looking For Strong foundation in Computer Vision, Deep Learning, and Machine Learning. Hands-on experience building and training custom Computer Vision models. Proficiency in Python and frameworks such as PyTorch, TensorFlow, and OpenCV. Experience working with image processing, object detection, segmentation, OCR, or multimodal AI systems. Understanding of Vision Language Models (VLMs), Vision Transformers (ViTs), or Generative AI concepts. Ability to train, fine-tune, and optimize AI models for production environments. Strong analytical, research, and problem-solving skills. Experience reading and implementing research papers into practical applications. Bachelor’s, Master’s, or PhD in Computer Science, AI, Machine Learning, or a related field. Bonus if you’ve: Built multi-step agent systems Prior experience in applied AI research within startup or product-focused environments. Exposure to MLOps, model deployment, and production AI systems. Worked in messy real-world data environments We’re not looking for someone who waits for clean requirements.We’re looking for someone who thrives in the mess and turns it into systems. Why meltplan Massive industry, real-world impact High ownership from day one Small team, zero bureaucracy Competitive comp + meaningful equity", "summaryDescription" : "AI Research Scientist -Computer Vision at Meltplan", "postedDate" : "2026-06-12T21:35:40.556", "createdAt" : "2026-06-12T21:35:40.556", "lastUpdated" : "2026-06-14T22:53:37.143", "ingestTimestamp" : "2026-06-12T21:35:40.556", "mongoId" : "6a2c5da874d8ee00a08dd901", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Construction industry", "Computer Vision", "Deep Learning", "Machine Learning", "Multimodal AI", "Document understanding", "Spatial reasoning", "Vision Transformers", "Generative AI" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2ccd1674d8ee00a0a28e56", "title" : "Senior Computer Vision and Machine Learning Software Engineer (Daylight map-matching)", "company" : "Everstar", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Computer Vision and Machine Learning Software Engineer in Kyiv, Ukraine, adjusted for the technology industry and seniority level." }, "location" : "Kyiv | Київ, UA", "locations" : [ "Kyiv | Київ", "UA" ], "timestamp" : "2026-06-16T03:40:20.948", "fingerprint" : "7857177b0a685c729b0154c67eae3a54b19cb037219d3b18f01dd9c4f986ea42", "source" : "breezyhr", "language" : "uk", "applyUrl" : "https://everstar.breezy.hr/p/e390ed56c825-senior-computer-vision-and-machine-learning-software-engineer-daylight-map-matching", "externalId" : "e390ed56c825", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kyiv", "country" : "Ukraine", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.4500336,30.5241361" } ], "locationText" : "Kyiv, Ukraine", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Develop and produce technical equipment, Develop and produce electronic solutions", "domainKnowledge" : "MilTech; Computer Vision; Machine Learning; Map-matching", "domainList" : [ "miltech", "computer-vision", "machine-learning", "map-matching" ], "domainSpecificKnowledge" : [ "MilTech", "Computer Vision", "Machine Learning", "Map-matching" ], "innovationCreativity" : "R&D projects", "rawDescription" : "Ми — EVERSTAR, перша рекрутингова агенція в MilTech для тих, хто готовий створювати технологічне майбутнє. Але досить про нас, розказуємо про головну зірку/роль/вакансію. Ця вакансія у R&D-команду, що розробляє та виробляє техніку й електронні рішення, які працюють на реальному полі бою, а не", "summaryDescription" : "Senior Computer Vision and Machine Learning Software Engineer (Daylight map-matching) at Everstar. Develop and produce technical equipment. Develop and produce electronic solutions", "createdAt" : "2026-06-14T18:42:52.103", "lastUpdated" : "2026-06-16T03:40:20.948", "ingestTimestamp" : "2026-06-14T18:42:52.103", "mongoId" : "6a2ccd1674d8ee00a0a28e56", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "MilTech", "Computer Vision", "Machine Learning", "Map-matching" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c747874d8ee00a0934d38", "title" : "Vision Engineer", "company" : "Overview.ai", "industry" : "Overview China", "salary" : { "min" : 350000.0, "max" : 600000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Vision Engineer in Chengdu, China, adjusted for the manufacturing industry and company size." }, "location" : "Chengdu", "locations" : [ "Chengdu" ], "timestamp" : "2026-06-16T00:58:27.500", "fingerprint" : "a460946e799f42c3ecc2a6ee6bddd0c89a97a20ed71adbc8e6ec988605daddeb", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/overview/1f9c815d-7642-4e5a-8265-374eccdc4b4e/application", "externalId" : "1f9c815d-7642-4e5a-8265-374eccdc4b4e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chengdu", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "30.6598670,104.0633150" } ], "locationText" : "Chengdu, China", "employmentType" : "FULL_TIME", "technicalSkills" : "Machine vision, AI, Computer vision, Deep learning, Edge computing, GPU", "professionalSkills" : [ "Optical problem solving", "Field execution", "Customer communication", "Project delivery", "Technical strategy", "Solutioning", "Market intelligence" ], "hardSkillsList" : [ "Lighting selection", "Lens selection", "Optical element selection", "Spectral strategies", "Image capture", "Validation" ], "hardSkills" : [ { "name" : "Lighting selection", "level" : "intermediate" }, { "name" : "Lens selection", "level" : "intermediate" }, { "name" : "Optical element selection", "level" : "intermediate" }, { "name" : "Spectral strategies", "level" : "intermediate" }, { "name" : "Image capture", "level" : "intermediate" }, { "name" : "Validation", "level" : "intermediate" } ], "majorSkills" : "Vision strategy, Optics, Lighting, Field deployment", "majorSkillsList" : [ "Vision strategy", "Optics", "Lighting", "Field deployment" ], "coreResponsibilities" : "Design imaging solution, Select lighting, Tune lighting, Select optical elements, Deploy optical elements, Push beyond visible light, Diagnose failure modes, Solve failure modes, Own customer deployments, Plan deployments, Execute deployments, Train customers, Follow through deployments, Drive iteration cycles, Adjust lighting, Adjust lens, Validate setup, Train customer teams, Create documentation, Create golden configs, Maintain knowledge of ecosystem, Participate in discovery, Participate in solutioning, Position Overview.ai, Identify incumbent failures, Propose imaging strategies, Feed market intelligence", "teamCollaboration" : "Global engineering teams; Product teams; Customer teams; Process teams; Quality teams; Operations teams", "projectManagementSkills" : [ "Project delivery" ], "domainKnowledge" : "Machine vision ecosystem; Traditional machine vision; AI outcomes; Factory rollouts; Production lines; Edge AI platform; Manufacturing AI", "domainList" : [ "machine-vision-ecosystem", "traditional-machine-vision", "ai-outcomes", "factory-rollouts", "production-lines", "edge-ai-platform", "manufacturing-ai" ], "domainSpecificKnowledge" : [ "Machine vision ecosystem", "Traditional machine vision", "AI outcomes", "Factory rollouts", "Production lines", "Edge AI platform", "Manufacturing AI" ], "toolProficiency" : [ "Cognex", "Keyence", "HALCON", "Hikrobot", "Hikvision" ], "communicationSkills" : "Explain optical strategies", "documentationSkills" : "Create documentation", "problemSolvingSkills" : "Optical problem solver; Diagnose failure modes; Solve failure modes", "specialRequirements" : "Travel + variety", "outcomesObjectives" : "Solve impossible inspections; Deliver stable configurations; Make AI performance excellent; Win deals; Out-think incumbents; Demonstrate superior solutioning; Turn victories into playbooks; Turn victories into reference setups; Turn victories into standards", "qualificationsBasic" : "Deep machine vision experience, Emphasis on lighting + optics, Solving difficult inspections, Practical knowledge of lighting/lens, Ability to operate independently, Mandarin fluency, Working English, Communication skills", "qualificationsPreferred" : "Vision solutions across industries, Advanced optical methods experience, Comfort running field experiments", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT OVERVIEW.AI http://Overview.ai Overview.ai http://Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world. We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots). THE MISSION Overview.ai http://Overview.ai is building the most powerful edge AI vision platform for manufacturing—deployed on real production lines, not in lab demos. Our AI is only as good as the images we feed it. That’s why this role exists. We’re hiring a top-tier Vision Applications Engineer in China—someone who can walk up to a difficult inspection problem (reflective metal, transparent plastic, motion blur, awkward geometry, cramped mounting, unstable presentation) and immediately start forming a lighting + optics strategy that makes the problem solvable. You’ll be the person customers remember: the one who makes “impossible” inspections suddenly look obvious. This role is vision-first. You don’t need to be a controls engineer. You do need to be an exceptional optical/lighting problem solver who can also own field execution: customer communication, on-site deployments, training, and project delivery. WHY THIS ROLE IS EXCITING - Solve the hardest vision problems in the world: The customers we work with bring problems that break traditional machine vision. You’ll be in the deep end. - Work with cutting-edge AI + real factories: You’ll turn great imaging into great AI outcomes—and see the impact immediately on yield and downtime. - High autonomy, high trust: You’ll be the expert in the room, leading technical strategy and owning outcomes end-to-end. - Win against incumbents: You’ll know the competitive landscape (Cognex, Keyence, HALCON, Hikvision, etc.) and use that knowledge to help us close deals and expand deployments. - Travel + variety: New lines, new parts, new weird optical phenomena—this role stays interesting. WHAT YOU’LL OWN 1) VISION STRATEGY: OPTICS + LIGHTING (CORE OF THE ROLE) You will design and iterate the imaging solution that makes inspection reliable: - Select and tune lighting for challenging surfaces and geometries: - bright field / dark field, coaxial, dome, diffuse, low-angle, structured light, line lights, spot/point, backlight, multisource setups - polarization (cross/parallel), glare suppression, specular management - strobed lighting vs continuous, high-speed exposure strategies, motion-freezing - “2.5D” techniques: photometric-style approaches, multi-angle illumination, gradient/shape enhancement - Select and deploy lenses and optical elements: - telecentric, macro, high-NA, long working distance, wide-angle vs narrow, Scheimpflug (tilt) where appropriate - filters (bandpass, long-pass/short-pass), polarizers, diffusers, beam splitters - mirrors/prisms for impossible mounting angles and constrained spaces - Push beyond visible light when needed: - IR / NIR / SWIR (and other spectral strategies), multispectral approaches, fluorescence-style thinking where relevant - Diagnose and solve “weird” vision failure modes: - reflectivity, transparency, subsurface features, moiré, aliasing, lens flare/ghosting, vibration blur, rolling shutter artifacts, shadowing/occlusion, contamination drift The bar: you can often tease out a workable imaging approach just by looking at the part + environment, then validate it quickly in the field. 2) PROJECT OWNERSHIP: DEPLOY, STABILIZE, SCALE - Own customer deployments end-to-end: planning, on-site execution, training, follow-through. - Drive fast iteration cycles: image capture → lighting/lens adjustments → validation → production-ready setup. - Train customer teams (process/quality/ops) on: - daily operation, basic troubleshooting, re-validation after maintenance, and how to keep image quality stable. - Create clear documentation and “golden configs” that make future rollouts faster. 3) COMPETITIVE EXPERTISE: HELP US WIN - Maintain a strong working knowledge of the machine vision ecosystem and competitor offerings: - Cognex, Keyence, HALCON/MVTec, Hikrobot/Hikvision, and other common players. - Participate in pre-sales technical discovery and solutioning: - help position Overview.ai http://Overview.ai intelligently, identify where incumbents will fail, and propose imaging strategies that make our AI shine. - Feed market intelligence back into product and go-to-market teams. WHO YOU ARE REQUIRED - Deep, hands-on machine vision experience with a heavy emphasis on lighting + optics (not just “camera setup”) - Track record solving difficult inspections in production environments (reflective/transparent, tight geometry, high speed, variable presentation) - Strong practical knowledge of the lighting and lens landscape: - you understand the tradeoffs and failure modes, not just the catalog names - Ability to operate independently in factories and own outcomes - Mandarin fluency (native or near-native) - Working English for collaboration with global engineering/product teams - Strong communication skills: you can explain optical strategies clearly to customers and teammates STRONG PREFERENCES - Experience building vision solutions across multiple industries (electronics, automotive, connectors, batteries, packaging, etc.) - Experience with advanced optical methods (telecentric, polarization, structured light, multi-angle, spectral techniques) - Comfort running field experiments quickly and methodically (hypothesis → test → iterate) WHAT SUCCESS LOOKS LIKE - Customers trust you as the vision expert who can solve “impossible” inspections. - You consistently deliver stable, repeatable imaging configurations that make AI performance excellent. - You help win deals by out-thinking incumbents and demonstrating superior solutioning. - You turn one-off optical victories into reusable playbooks, reference setups, and standards. WHY OVERVIEW.AI http://Overview.ai (WHY TOP CANDIDATES JOIN) - Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale. - Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment. - Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now. - Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning. - Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.", "summaryDescription" : "Vision Engineer at Overview.ai. Skills: Vision strategy, Optics, Lighting, Field deployment. Design imaging solution. Select lighting", "createdAt" : "2026-06-14T17:42:56.869", "lastUpdated" : "2026-06-16T00:58:27.500", "ingestTimestamp" : "2026-06-14T17:42:56.869", "mongoId" : "6a2c747874d8ee00a0934d38", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Lighting selection", "Lens selection", "Optical element selection", "Spectral strategies", "Image capture", "Validation", "Vision strategy", "Optics", "Lighting", "Field deployment", "Optical problem solving", "Field execution", "Customer communication", "Project delivery", "Technical strategy", "Solutioning", "Market intelligence", "Machine vision ecosystem", "Traditional machine vision", "AI outcomes", "Factory rollouts", "Production lines", "Edge AI platform", "Manufacturing AI", "Cognex", "Keyence", "HALCON", "Hikrobot", "Hikvision" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e43bf8b1b0376634c927", "title" : "Senior Applied Scientist - Computer Vision", "company" : "Amazon", "industry" : "Machine Learning Science, Applied Science, no business category", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the 2024-2025 market data for a Senior Applied Scientist in E-Commerce in Melbourne, Australia, with adjustments for seniority and company size." }, "location" : "Melbourne, Victoria, AUS", "locations" : [ "Melbourne, Victoria, AUS" ], "timestamp" : "2026-06-15T03:19:06.648", "fingerprint" : "2be461b081dc2e38bd4a8dc19eaa8e5d4db9b94a33220831a4109a8246293334", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3071448/apply", "externalId" : "c0c92fe8-130e-48b0-a0ff-44ea81a57556", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, C++, Java, SQL, AWS, SageMaker, PyTorch, TensorFlow, Deep learning, Machine learning, Computer vision, Large language models, Generative AI, Distributed computing, Data processing", "professionalSkills" : [ "System design", "Algorithm design" ], "hardSkillsList" : [ "Deep learning", "Machine learning", "Computer vision", "Large language models", "Generative AI", "Distributed computing", "Data processing", "Algorithm design", "System design" ], "hardSkills" : [ { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Computer vision", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" } ], "majorSkills" : "Computer vision, Machine learning, Deep learning, Generative AI", "majorSkillsList" : [ "Computer vision", "Machine learning", "Deep learning", "Generative AI" ], "coreResponsibilities" : "Design and implement computer vision models, Develop and deploy machine learning models, Process large-scale datasets, Research and apply state-of-the-art ML techniques, Collaborate with engineering teams, Contribute to the development of AI products", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Computer vision; Deep learning; Machine learning; Large language models; Generative AI", "domainList" : [ "computer-vision", "deep-learning", "machine-learning", "large-language-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Computer vision", "Deep learning", "Machine learning", "Large language models", "Generative AI" ], "toolProficiency" : [ "AWS SageMaker", "PyTorch", "TensorFlow" ], "innovationCreativity" : "Research and development", "problemSolvingSkills" : "Algorithm design; System design", "qualificationsBasic" : "4+ years of experience, PhD in Computer Science, Proficiency in Python, Experience with deep learning frameworks, Experience with large-scale data processing, Experience with computer vision algorithms, Experience with machine learning model deployment, Experience with cloud platforms, Experience with distributed computing", "qualificationsPreferred" : "Experience with AWS SageMaker, Experience with PyTorch, Experience with TensorFlow, Experience with large language models, Experience with generative AI", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about leading the design and development of computer vision solutions that can revolutionize the visual content in our catalog? Join our high-performing Computer Vision team where our mission is to create next-generation media content for our catalog, delivering an unparalleled shopping experience for our customers. As a Senior Applied Scientist in our international Machine Learning team, you will spearhead the design and development of advanced generative models (image, video, and 3D) in computer vision that will enhance shopping experience of our customers. You will partner directly with senior stakeholders to better understand business problems, dissect, design and sometimes build prototypes. You will lead and encourage productive scientific discussions to identify the most effective scientific methodologies. Join our team of high-performing researchers dedicated to advancing computer vision technology at Amazon and elevate our catalog to simplify our customers' purchasing decisions. #austechjobs Key job responsibilities - Lead the scientific development of scalable computer vision solutions to revolutionise our catalog's media content. - Spearhead data analysis initiatives, extracting actionable insights from Amazon's vast datasets to drive content automation and enhancement. - Architect, implement, and optimise sota generative AI models tailored to our specific business needs. - Lead the discussions with cross-functional teams and business stakeholders to align technical solutions with strategic objectives. - Pioneer research initiatives that address complex customer challenges and push the boundaries of AI in e-commerce. - Mentor and guide junior scientists and interns, fostering a culture of innovation and continuous learning. - Contribute to the scientific community by conducting and publishing research at top-tier CV/ML conferences. - Drive technical decision-making and set the direction for building future AI models. Basic Qualifications: - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 4+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Have at least 5 publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS. Preferred Qualifications: - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability - Experience in mentoring PhD students or managing a team of scientists. Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Applied Scientist - Computer Vision at Amazon. Skills: Computer vision, Machine learning, Deep learning, Generative AI. Design and implement computer vision models. Develop and deploy machine learning models", "postedDate" : "2026-06-13T18:53:08.376", "createdAt" : "2026-06-13T18:53:08.376", "lastUpdated" : "2026-06-15T03:19:06.648", "ingestTimestamp" : "2026-06-13T18:53:08.376", "mongoId" : "68c2e43bf8b1b0376634c927", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3071448/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Deep learning", "Machine learning", "Computer vision", "Large language models", "Generative AI", "Distributed computing", "Data processing", "Algorithm design", "System design", "AWS SageMaker", "PyTorch", "TensorFlow" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5f1674d8ee00a08e8e70", "title" : "Artificial Intelligence Engineer | AI Agent | Computer Vision | Vision Language Models", "company" : "Reolink", "industry" : "Intelligent visual technology", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Artificial Intelligence Engineer in Singapore, adjusted for the technology industry and company size." }, "location" : "31 Kaki Bukit Road 3 , Techlink 06-02 , Singapore 417818 (Take Lift B)", "locations" : [ "31 Kaki Bukit Road 3", "Techlink 06-02", "Singapore 417818 (Take Lift B)" ], "timestamp" : "2026-06-15T00:49:44.604", "fingerprint" : "63bb399e6b0e1a58af083ba8ab4ee51a80d03c2b32c431ab31ecbcf994bb854c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/reolink/jobs/4280908009", "externalId" : "4280908009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "domainKnowledge" : "AI Agent; Computer Vision; Vision Language Models; Machine learning; Deep learning; Neural networks; Decision trees; CNN; RNN; LSTM; Transformer; ViT; NPU; GPU; DSP; ARM; CPU; Audio algorithms; Video algorithms; Target detection; Feature extraction; Tracking; Recognition; Surveillance applications; Monitoring applications", "domainList" : [ "ai-agent", "computer-vision", "vision-language-models", "machine-learning", "deep-learning", "neural-networks", "decision-trees", "cnn", "rnn", "lstm", "transformer", "vit", "npu", "gpu", "dsp", "arm", "cpu", "audio-algorithms", "video-algorithms", "target-detection", "feature-extraction", "tracking", "recognition", "surveillance-applications", "monitoring-applications" ], "domainSpecificKnowledge" : [ "AI Agent", "Computer Vision", "Vision Language Models", "Machine learning", "Deep learning", "Neural networks", "Decision trees", "CNN", "RNN", "LSTM", "Transformer", "ViT", "NPU", "GPU", "DSP", "ARM", "CPU", "Audio algorithms", "Video algorithms", "Target detection", "Feature extraction", "Tracking", "Recognition", "Surveillance applications", "Monitoring applications" ], "workSiteFlexibility" : "Onsite", "rawDescription" : "Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 5 Work Days Per Week Current Office Near to Kaki Bukit MRT Will Relocate To Tai Seng MRT in August 2026 Medical & Dental Benefits Provided Entitled to Yearly Bonus & Performance Bonus Current Teams are focusing projects on AI Agent, Computer Vision, Vision Language Models (VLMs) Job Requirements: Bachelor's or Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Minimum 2 Years of working experience as AI Specialist, AI Algorithm Engineer or AI Research Engineer is required for this post. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. Job Responsibilities: Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders.", "summaryDescription" : "Artificial Intelligence Engineer | AI Agent | Computer Vision | Vision Language Models at Reolink", "postedDate" : "2026-06-12T21:57:37.622", "createdAt" : "2026-06-12T21:57:37.622", "lastUpdated" : "2026-06-15T00:49:44.604", "ingestTimestamp" : "2026-06-12T21:57:37.622", "mongoId" : "6a2c5f1674d8ee00a08e8e70", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "AI Agent", "Computer Vision", "Vision Language Models", "Machine learning", "Deep learning", "Neural networks", "Decision trees", "CNN", "RNN", "LSTM", "Transformer", "ViT", "NPU", "GPU", "DSP", "ARM", "CPU", "Audio algorithms", "Video algorithms", "Target detection", "Feature extraction", "Tracking", "Recognition", "Surveillance applications", "Monitoring applications" ], "skillCount" : 25, "jobCategory" : "other", "jobSubcategory" : "algorithm", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Intelligent visual technology" }, { "id" : "69cf11c72beec4dd3d8e6cb0", "title" : "Assembly Series Planning Engineer, Vision Systems", "company" : "Mercedes-Benz U. S. International, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Assembly Series Planning Engineer, Vision Systems in Alabama, United States, adjusted for the manufacturing industry." }, "location" : "United States of America-Alabama -Vance", "locations" : [ "United States of America-Alabama -Vance", "1 Mercedes-Drive, , Vance" ], "timestamp" : "2026-06-15T08:05:28.068", "fingerprint" : "714a0a6557b70df6a9a161e5bc5f303df98f27500416c85fc81b6adf9e711f4d", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=881404", "externalId" : "881404", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Alabama", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Alabama, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SAP, CAD, Keyence Vision Systems", "professionalSkills" : [ "Project management", "Feasibility analysis", "Cost analysis", "Business justifications", "Equipment concepts", "Supplier selection", "Quotation comparison", "Purchase requisitions", "Awarding process", "Strategy development", "Goal development", "Cross-functional alignment", "Project implementation", "Supplier kickoff", "Design reviews", "Shipping approval", "Project schedule", "Project costs", "Project risks", "Project changes", "Facilities planning", "Commissioning process", "Buyoff process", "Punch lists", "Plant training", "Production support", "Equipment readiness", "Machine capability", "Process capability", "Documentation execution", "Project closure" ], "hardSkillsList" : [ "Hands-on capabilities" ], "hardSkills" : [ { "name" : "Hands-on capabilities", "level" : "intermediate" } ], "majorSkills" : "Assembly Series Planning, Vision Systems, Project Management", "majorSkillsList" : [ "Assembly Series Planning", "Vision Systems", "Project Management" ], "coreResponsibilities" : "Plan and implement Assembly Shop equipment changes, Accommodate changes to processes, product, or build scenarios, Perform feasibility analysis, Execute project justifications, Plan projects from concept through handover, Support engineering change coordination meetings, Perform engineering change and cost feasibility analysis, Create business justifications for potential projects, Create new equipment concepts, specifications and layouts, Update line infrastructure, Ensure plant training needs are met, Create initial project milestones, Estimate project costs, Create production startup support plan, Coordinate design reviews with project stakeholders, Coordinate with IPS to define supplier list, Receive and compare quotations from potential suppliers, Create Purchase Requisitions, Work with IPS on awarding process, Define buyoff documentation package, Develop strategy and goals with series and future, Present and coordinate cross-functional group alignment, Share milestones, challenges, and chances, Lead Vision within the Assembly Shop, Keep plant path forward in line with global, Lead supplier kickoff with all stakeholders, Provide shipping approval by inspecting equipment, Provide project management for installation of new equipment, Plan, monitor and control project schedule, Plan, monitor and control project costs, Plan, monitor and control project risks, Plan, monitor and control project changes, Work with Facilities Planning for demo or de-commissioning, Lead Commissioning and Buyoff Process, Ensure all stakeholders are included, Ensure right documentation is utilized, Maintain punch lists, Ensure all plant training needs are met and, Monitor equipment readiness during change implementation, Ensure all equipment is installed and runs per, Coordinate execution of Machine Capability studies, Coordinate execution of Process Capability studies, Verify equipment changes before start PT2, Ensure all documentation is executed per timeline, Lead closure of punch lists, Communicate regularly to TOC/other plants on upcoming technologies, Handover equipment to quality, production, and maintenance, Perform safe work practices, Participate in trainings and safety programs, Follow safety rules, procedures, regulations, standards and laws, Report all unsafe acts, unsafe conditions, and injuries, Work safely 100% of the time, Perform other duties as required", "teamCollaboration" : "Cross-functional group alignment; Project stakeholders; Global Mercedes-Benz strategy; Quality, production, and maintenance", "projectManagementSkills" : [ "Project Management", "Cost/budget management", "Timeline management", "Risk management" ], "domainKnowledge" : "Assembly Shop equipment; Vision Systems; Manufacturing environment; Lithium-ion batteries", "domainList" : [ "assembly-shop-equipment", "vision-systems", "manufacturing-environment", "lithium-ion-batteries" ], "domainSpecificKnowledge" : [ "Assembly Shop equipment", "Vision Systems", "Manufacturing environment", "Lithium-ion batteries" ], "toolProficiency" : [ "Microsoft Suite", "Microsoft Word", "Microsoft Excel", "Microsoft Project", "Microsoft PowerPoint" ], "communicationSkills" : "Technical information; Verbal communication; Written communication", "documentationSkills" : "Buyoff documentation; Punch lists; Documentation execution", "continuousLearning" : "Trainings; Safety programs; Tuition assistance", "problemSolvingSkills" : "Problem solving; Root cause analysis", "qualificationsBasic" : "Bachelor's degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Civil Engineering or related area or the equivalent combination of education and experience, Minimum of three (3) years' of relevant professional experience in an engineering oriented environment with a manufacturing setting, with emphasis on equipment and tooling projects, project management, and hands-on capabilities, Knowledge in Microsoft Suite (Word, Excel, Project and PowerPoint), Ability to work in a team environment, Knowledge and understanding of equipment in a manufacturing environment, Widespread understanding of how machines are integrated into a manufacturing system, Project Management - cost/budget, timeline management, risk management, Problem solving", "qualificationsPreferred" : "Ability to clearly communicate technical information, both verbally and in writing, Work experience with Mercedes-Benz in vision equipment and tooling related issues, Experience in project management and in leading problem solving groups, Knowledge in system applications such as SAP, CAD, Experience with Keyence Vision Systems in a manufacturing environment, German Language proficiency, Measurement system analysis experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Mercedes-Benz: Building Exceptional Vehicles… and Careers! The best chapters in Alabama’s automotive success story are yet to come. The Mercedes-Benz automobile of the future will be different; greener, more efficient, safer, and even more fascinating. Only one thing will never change – It will wear a star. The vehicles we manufacture are the finished results of our skilled workforce, and we're hiring even more. We are looking for Specialists and Team Members to join us in crafting a wide variety of vehicles from the Mercedes-Maybach GLS SUV to our all-electric electric vehicle, the EQS SUV and EQE SUV. Our Tuscaloosa County site is home to the production of Mercedes’ luxury SUV models, including electric vehicles. Just down the road in Bibb County, MBUSI has launched the production of high-performance lithium-ion batteries. Our two campuses are among the most advanced automotive manufacturing facilities in the world, with over 6 million square feet combined. MBUSI offers an excellent total rewards package including competitive compensation, health and life insurance, 401(k) matching program and defined contribution retirement plan, annual bonuses, tuition assistance, and paid holidays. Further on-site MBUSI resources such as childcare, medical center and fitness center are available for all to utilize. Our Team Members share a common goal to be the best luxury auto manufacturer in North America. MBUSI is committed to excellence and actively promotes positive team culture, teamwork, safety, quality, and continuous improvement. Mercedes-Benz, U.S. International, Inc. takes pride in being an Equal Employment Opportunities workplace. Mercedes-Benz U.S. International, Inc. is committed to equal opportunity regardless of race, age, ethnic origin, and any other characteristics classified under applicable Local and Federal laws. All qualified candidates are encouraged to apply for the opportunity to join us in electrifying the future! Purpose of the Position : Under general supervision this position plans and implements the Assembly Shop equipment changes necessary to accommodate changes to processes, product, or build scenarios. This position will perform the necessary feasibility analysis, execute project justifications, and plan projects from concept through handover to operations. Essential Functions : 'Project planning: Support engineering change coordination meetings as required, Perform engineering change and cost feasibility analysis for potential projects, Create business justifications for potential projects using inputs from the organization, Create new equipment concepts, specifications and layouts. Includes updates to the line infrastructure as needed. Ensure plant training needs are met in specifications, Create initial milestones for the project and estimated project costs Create production startup support plan, Coordinate design reviews with the project stakeholders to include all project aspects, Coordinate with IPS to define supplier list, Receive and compare quotations from potential suppliers in conjunction with IPS, Create Purchase Requisitions, Work with IPS on awarding process, including justifications. Define buyoff documentation package required Strategy/Target development: Work with management and internal stakeholders to develop strategy and goals with series and future product needs in mind. Present and coordinate cross-functional group bottom-up and top-down alignment on strategy and project status, sharing milestones, challenges, and chances. Leading Vision within the Assembly Shop and working together with global Mercedes-Benz strategy to keep the path forward for the plant in line with our global strategy. Project implementation: Lead supplier kickoff with all stakeholders, Coordinate design reviews with the project stakeholders, Provide shipping approval by inspecting the equipment at the supplier’s site, Provide project management for the installation of new equipment. Plan, monitor and control Project schedule, Project costs, Project Risks, Project changes. Work with Facilities Planning for demo or de-commissioning activities to ensure all aspects are considered, Lead Commissioning and Buyoff Process – ensure all stakeholders are included and right documentation is utilized, and punch lists are maintained, Ensure all plant training needs are met and on time Project Validation: Production support to monitor equipment readiness during change implementation, Ensure all equipment is installed and runs per the design, Coordinate the execution of all Machine Capability studies by ET, Coordinate the execution of all Process Capability studies needed to verify, equipment changes before start PT2, Ensure all documentation is executed per the timeline, Lead closure of punch list items Production Monitoring: Monitor daily/weekly equipment performance for systemic issues that could be addressed through hardware or software improvements, Work with internal stakeholders to find appropriate solutions to series systemic issues/error proofing, in consideration of future projects. Evaluate manufacturing equipment capabilities against future build ratio changes and update planning accordingly. Ensure final documentation for buyoffs is completed per the timeline. Maintain regular communication to TOC/other plants to stay up to speed on upcoming technologies, Handover equipment to quality, production, and maintenance Perform safe work practices and participate in trainings and safety programs in a positive and proactive way by following safety rules, procedures, regulations, standards and laws. Report all unsafe acts, unsafe conditions, and injuries to management, including your supervisor, or the Safety Department. Work safely 100% of the time. Perform other duties as required. QUALIFICATIONS: Education, Experience and Necessary Skills all must be met in order to qualify for position. Education : This position requires a Bachelor's degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Civil Engineering or related area or the equivalent combination of education and experience. Experience A minimum of three (3) years' of relevant professional experience in the following area(s):engineering oriented environment with a manufacturing setting, with strong emphasis on equipment and tooling projects, project management, and strong hands-on capabilities. Necessary Skills, Certifications, etc .: - Flexibility to support MBUSI needs and demands - Knowledge in Microsoft Suite (Word, Excel, Project and PowerPoint) - Ability to work in a team environment - Knowledge and understanding of equipment in a manufacturing environment - Widespread understanding of how machines are integrated into a manufacturing system - Project Management - cost/budget, timeline management, risk management - Problem solving Preferred Skills : - Ability to clearly communicate technical information, both verbally and in writing. - Work experience with Mercedes-Benz in vision equipment and tooling related issues - Experience in project management and in leading problem solving groups - Knowledge in system applications such as SAP, CAD - Experience with Keyence Vision Systems in a manufacturing environment - German Language proficiency - Measurement system analysis experience Sponsorship is Not Allowed for this position. Mercedes-Benz U.S. International, Inc.", "summaryDescription" : "Assembly Series Planning Engineer, Vision Systems at Mercedes-Benz U. S. International, Inc.. Skills: Assembly Series Planning, Vision Systems, Project Management. Plan and implement Assembly Shop equipment changes. Accommodate changes to processes, product, or build scenarios", "createdAt" : "2026-06-14T01:58:36.926", "lastUpdated" : "2026-06-15T08:05:28.068", "ingestTimestamp" : "2026-06-14T01:58:36.926", "mongoId" : "69cf11c72beec4dd3d8e6cb0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Hands-on capabilities", "Assembly Series Planning", "Vision Systems", "Project Management", "Project management", "Feasibility analysis", "Cost analysis", "Business justifications", "Equipment concepts", "Supplier selection", "Quotation comparison", "Purchase requisitions", "Awarding process", "Strategy development", "Goal development", "Cross-functional alignment", "Project implementation", "Supplier kickoff", "Design reviews", "Shipping approval", "Project schedule", "Project costs", "Project risks", "Project changes", "Facilities planning", "Commissioning process", "Buyoff process", "Punch lists", "Plant training", "Production support", "Equipment readiness", "Machine capability", "Process capability", "Documentation execution", "Project closure", "Cost/budget management", "Timeline management", "Risk management", "Assembly Shop equipment", "Manufacturing environment", "Lithium-ion batteries", "Microsoft Suite", "Microsoft Word", "Microsoft Excel", "Microsoft Project", "Microsoft PowerPoint" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c68bb74d8ee00a09047b1", "title" : "Software Engineer, Autonomous Vehicles", "company" : "Helm.ai", "industry" : "AV", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Software Engineers in the US Technology industry, adjusted for company size and remote work." }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "timestamp" : "2026-06-15T04:58:43.475", "fingerprint" : "54fb9d0a4601e46d0489fdc461b520cae4f14386fa27c6e17235daccc0916ce2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/helm-ai/0b3ebe5a-3cbb-419f-b5d3-4c986b344338/application", "externalId" : "0b3ebe5a-3cbb-419f-b5d3-4c986b344338", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, AI, ML, Neural networks, Unsupervised learning, High-performance computing, Real-time systems", "professionalSkills" : [ "Algorithm analysis", "System design", "Software engineering" ], "hardSkillsList" : [ "Real-time software development", "Algorithm optimization", "ML model deployment", "Data pipeline management", "Model versioning" ], "hardSkills" : [ { "name" : "Real-time software development", "level" : "intermediate" }, { "name" : "Algorithm optimization", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" }, { "name" : "Data pipeline management", "level" : "intermediate" }, { "name" : "Model versioning", "level" : "intermediate" } ], "majorSkills" : "Backend systems, Software engineering, AI/ML", "majorSkillsList" : [ "Backend systems", "Software engineering", "AI/ML" ], "coreResponsibilities" : "Design vehicle software systems, Implement vehicle software systems, Test vehicle software systems, Collaborate with vendors, Partner with AI teams, Work with customers, Advance autonomous driving capabilities, Design real-time software, Develop real-time software, Deliver real-time software, Conduct algorithm analysis, Optimize algorithms, Iterate algorithms, Architect continuous learning system, Deploy ML models, Monitor ML model performance, Prioritize ML improvements, Collaborate with platform teams, Collaborate with embedded teams, Collaborate with AI teams, Ensure cohesive development, Ensure validation, Ensure integration, Stay abreast of industry trends, Stay abreast of emerging tools", "teamCollaboration" : "AI teams; Platform teams; Embedded teams", "domainKnowledge" : "Autonomous driving; Robotics; Deep Teaching methodology; Unsupervised learning; L2/L3 autonomy; Mass production; AV stack; High-performance computing; Real-time systems; AI-driven mobility; Software/hardware integration; Robotics middleware; ML model deployment; Safety-critical systems; Real-world testing protocols", "domainList" : [ "autonomous-driving", "robotics", "deep-teaching-methodology", "unsupervised-learning", "l2-l3-autonomy", "mass-production", "av-stack", "high-performance-computing", "real-time-systems", "ai-driven-mobility", "software-hardware-integration", "robotics-middleware", "ml-model-deployment", "safety-critical-systems", "real-world-testing-protocols" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Robotics", "Deep Teaching methodology", "Unsupervised learning", "L2/L3 autonomy", "Mass production", "AV stack", "High-performance computing", "Real-time systems", "AI-driven mobility", "Software/hardware integration", "Robotics middleware", "ML model deployment", "Safety-critical systems", "Real-world testing protocols" ], "toolProficiency" : [ "ROS2", "CARLA" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Stay abreast of industry trends; Stay abreast of emerging tools", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Safer roads; Economically viable AI deployment", "qualificationsBasic" : "Bachelor's or Master's degree, Lead projects, Mentor team members, Work autonomously, Backend programming foundation, C++ programming, Python programming, Design performant software systems, Develop performant software systems, Deploy performant software systems, Design real-time software systems, Develop real-time software systems, Deploy real-time software systems, Data structures command, Algorithms command, Software architecture command, Design patterns command", "qualificationsPreferred" : "Ph. D. preferred, Experience in autonomous vehicle development, Software/hardware integration expertise, ROS2 experience, Robotics middleware experience, ML model deployment experience, ML model monitoring experience, Data pipeline management experience, Model versioning experience, Simulation tools experience, CARLA experience, Real-world testing protocols experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We help make autonomous technologies more efficient, safer, and accessible. Helm.ai http://Helm.ai builds AI software for autonomous driving and robotics. Our \"Deep Teaching\" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks for L2/L3 autonomy, which drastically reduces the need for human annotation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers https://helm.ai/post/helm-ai-and-honda-motor-co-agree-to-multi-year-adas-joint-development-for-mass-production-consumer-vehicles towards mass production and we've raised over $100M from Honda, Mando, and others to help us scale. We are looking for versatile engineers to shape core components of the next generation of the Helm.ai http://Helm.ai autonomous stack. No prior experience in autonomous vehicles is required—we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. In this senior role, you will design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.ai http://Helm.ai’s AI teams, and work with customers to advance highway and urban autonomous driving capabilities. You will: - Design, develop, and deliver safe, scalable, and robust real-time software for mass production grade autonomous vehicle systems directly contributing to safer roads and economically viable AI deployment. - Conduct in-depth algorithm analysis, optimization, and iteration to enhance efficiency and accuracy across the AV stack. - Architect scalable continuous learning system for deploying new ML models, monitoring their performance, and prioritizing improvements. - Collaborate with platform, embedded, and AI teams to ensure cohesive development, validation, and integration of ML based perception, prediction, and planning. - Stay abreast of industry trends and emerging tools in high-performance computing, real-time systems, and AI-driven mobility. You have: - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics; Ph.D. preferred. - Demonstrated ability to lead projects, mentor team members, and work autonomously in high-stakes fast-paced environments. - Strong foundation in backend programming (C++, Python) and proven track record in designing, developing, and deploying performant and/or real-time software systems, e.g. aerospace, online ads, robotics, gaming, high-frequency trading. - Strong command of data structures, algorithms, software architecture, and design patterns. - Excellent problem-solving, communication, and collaboration skills, with a passion for innovation. The following are not required but a plus: - Experience in autonomous vehicle development, with expertise in software/hardware integration. Experience with ROS2 or other robotics middleware. - Experience with ML model deployment and monitoring in production environments, including data pipeline management and model versioning for safety-critical systems. - Expertise in simulation tools (e.g., CARLA) and real-world testing protocols for autonomous vehicles. We offer: - Competitive health insurance options - 401K plan management - Remote-friendly and flexible team culture - Free lunch and fully-stocked kitchen in our South Bay office - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale - The opportunity to work on one of the most interesting, impactful problems of the decade Helm.ai http://Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai http://Helm.ai are considered the property of Helm.ai http://Helm.ai and are not subject to payment of agency fees.", "summaryDescription" : "Software Engineer, Autonomous Vehicles at Helm.ai. Skills: Backend systems, Software engineering, AI/ML. Design vehicle software systems. Implement vehicle software systems", "createdAt" : "2026-06-14T03:54:44.538", "lastUpdated" : "2026-06-15T04:58:43.475", "ingestTimestamp" : "2026-06-14T03:54:44.538", "mongoId" : "6a2c68bb74d8ee00a09047b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Real-time software development", "Algorithm optimization", "ML model deployment", "Data pipeline management", "Model versioning", "Backend systems", "Software engineering", "AI/ML", "Algorithm analysis", "System design", "Autonomous driving", "Robotics", "Deep Teaching methodology", "Unsupervised learning", "L2/L3 autonomy", "Mass production", "AV stack", "High-performance computing", "Real-time systems", "AI-driven mobility", "Software/hardware integration", "Robotics middleware", "Safety-critical systems", "Real-world testing protocols", "ROS2", "CARLA" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c783674d8ee00a093e5b9", "title" : "Autonomous Vehicle Operator", "industry" : "Business Operations", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Autonomous Vehicle Operator in Houston, adjusted for mid-seniority and the technology industry." }, "location" : "Houston, TX", "locations" : [ "Houston, TX" ], "certifications" : [ "Valid U. S. driver's license" ], "timestamp" : "2026-06-16T00:57:30.909", "fingerprint" : "fb13f1c9880767efdf818ace1081f556dfe14516b7c57a52b87f83db56aca468", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/isee/652062e1-1c9b-4436-8b1a-ada67c1a1cbb/apply", "externalId" : "652062e1-1c9b-4436-8b1a-ada67c1a1cbb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "technicalSkills" : "Linux, Google Suite, Jira, Slack, Git", "professionalSkills" : [ "Technical acumen", "Technical aptitude" ], "hardSkillsList" : [ "Troubleshooting", "Log data review", "System failure analysis", "Disengagement analysis", "Diagnostic tree updates" ], "softSkillsList" : [ "Independent operation" ], "hardSkills" : [ { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Log data review", "level" : "intermediate" }, { "name" : "System failure analysis", "level" : "intermediate" }, { "name" : "Disengagement analysis", "level" : "intermediate" }, { "name" : "Diagnostic tree updates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independent operation" } ], "majorSkills" : "Autonomous vehicle operation, Real-time monitoring, Troubleshooting", "majorSkillsList" : [ "Autonomous vehicle operation", "Real-time monitoring", "Troubleshooting" ], "coreResponsibilities" : "Monitor Autonomous Yard Trucks, Support Autonomous Yard Trucks, Provide troubleshooting technical support, Review log data, Isolate issues, Track issues, Document issues, Triage issues, Update knowledge base, Update diagnostic trees, Interact with customers", "teamCollaboration" : "Interact with customers", "domainKnowledge" : "Autonomous vehicle systems; Automotive systems", "domainList" : [ "autonomous-vehicle-systems", "automotive-systems" ], "domainSpecificKnowledge" : [ "Autonomous vehicle systems", "Automotive systems" ], "toolProficiency" : [ "Google Suite", "Jira", "Slack", "Git" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Documentation", "continuousLearning" : "Learn new software; Learn new processes", "problemSolvingSkills" : "Troubleshooting; Isolate issues; Track issues; Document issues; Triage issues", "specialRequirements" : "Work in moving vehicle, Work outdoors, Rotating shifts, Travel up to 2 months", "outcomesObjectives" : "Maximize troubleshooting efficiency", "qualificationsBasic" : "At least 21 years of age, At least 5 years of driving experience, Valid U. S. driver's license, Clean driving history, Pass a criminal background check, Pass safety and performance checkpoints", "qualificationsPreferred" : "Familiarity with Linux, Familiarity with Google Suite, Familiarity with Jira, Familiarity with Slack, Familiarity with Git", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Responsibilities Monitor and support Autonomous Yard Trucks in real-time during operations Provide troubleshooting technical support for any HW or SW issues that occur on prototype vehicles Review log data of system failures and disengagements of autonomy system Isolate, track, document, and triage issues systematically Update knowledge base and diagnostic trees to maximize troubleshooting efficiency Interact with our customers as an ambassador for ISEE’s technology ## Qualifications At least 21 years of age and at least 5 years of driving experience The ability to operate independently with little or no supervision Excellent written and verbal communication Technical acumen and familiarity with Linux, Google Suite, Jira, Slack, and Git are preferred Strong technical aptitude and ability to quickly learn new software and processes Proven interest and technical capability to work with modern automotive systems Experience in a professional work environment where safety, honesty, procedure, and/or software testing is emphasized Detail-oriented mindset with a focus on safety and procedure Ability to work in close quarters in a professional manner for extended periods of time Must have a valid U. S. driver's license and clean driving history, validated by a regular MVR check Must continually pass safety and performance checkpoints for continued employment Pass a criminal background check Use a laptop in a moving vehicle for up to 10 hours per day Work in outdoor conditions for up to 10 hours per day Able to work on rotating shifts, including nights, weekends, early mornings, and holidays Ability to travel for up to 2 months", "summaryDescription" : "Autonomous Vehicle Operator. Skills: Autonomous vehicle operation, Real-time monitoring, Troubleshooting. Monitor Autonomous Yard Trucks. Support Autonomous Yard Trucks", "postedDate" : "2026-06-12T13:41:56.084", "createdAt" : "2026-06-12T13:41:56.084", "lastUpdated" : "2026-06-16T00:57:30.909", "ingestTimestamp" : "2026-06-14T21:37:13.001", "mongoId" : "6a2c783674d8ee00a093e5b9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Troubleshooting", "Log data review", "System failure analysis", "Disengagement analysis", "Diagnostic tree updates", "Independent operation", "Autonomous vehicle operation", "Real-time monitoring", "Technical acumen", "Technical aptitude", "Autonomous vehicle systems", "Automotive systems", "Valid U. S. driver's license", "Google Suite", "Jira", "Slack", "Git" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c966c74d8ee00a098f818", "title" : "Machine Learning Engineer II, Computer Vision Applied Science", "company" : "Pinterest", "industry" : "Technology", "salary" : { "min" : 138905.0, "max" : 285982.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, CA, US", "locations" : [ "San Francisco", "CA", "US" ], "timestamp" : "2026-06-15T07:48:19.383", "fingerprint" : "710bd2e1dcb8a8df7aecdd2e43a3fedfcd95acf179f95f4a437fa60c52bd2155", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.pinterestcareers.com/jobs/?gh_jid=7697137", "externalId" : "7697137", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Computer Vision, Machine Learning, Multimodal LLMs, Representation Learning, Generative Modeling, Graph Neural Networks, Recommender Systems, Visual Modeling, VLMs, LLMs, Generative models", "professionalSkills" : [ "Applied machine learning", "Visual perception", "Tool using capabilities", "Research strategy", "Visual training data", "Generative strategy" ], "hardSkillsList" : [ "Finetuning LLM models", "RLHF", "Targeted fine-tuning" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Finetuning LLM models", "level" : "intermediate" }, { "name" : "RLHF", "level" : "intermediate" }, { "name" : "Targeted fine-tuning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Computer Vision, Machine Learning, LLMs, Generative Models", "majorSkillsList" : [ "Computer Vision", "Machine Learning", "LLMs", "Generative Models" ], "coreResponsibilities" : "Prototype new model architectures, Finetune open-source LLM models, Improve visual perception, Improve tool using capabilities, Develop new evaluation benchmarks, Tailor benchmarks for vision-centric capabilities, Read research papers, Participate in group discussions, Brainstorm visual generative strategy, Help collect visual training data, Conduct RLHF, Conduct targeted fine-tuning, Publish work via conferences, Publish work via paper submissions, Publish work via blog posts, Mentor junior researchers, Mentor research interns", "teamCollaboration" : "Core visual pod; Product prototyping team; Broader research community", "domainKnowledge" : "Knowledge graph; Visual-text datasets; Fashion style recommendations; Multimodal search; Text-to-image models; Pinterest Canvas", "domainList" : [ "knowledge-graph", "visual-text-datasets", "fashion-style-recommendations", "multimodal-search", "text-to-image-models", "pinterest-canvas" ], "domainSpecificKnowledge" : [ "Knowledge graph", "Visual-text datasets", "Fashion style recommendations", "Multimodal search", "Text-to-image models", "Pinterest Canvas" ], "toolProficiency" : [ "Cursor", "Copilot", "Codex" ], "communicationSkills" : "Group discussions; Public speaking", "continuousLearning" : "Read research papers", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Debugging; Refactoring", "specialRequirements" : "In-office 1-2 times/quarter", "qualificationsBasic" : "2+ years industry computer vision experience, M.S. or PhD in Machine Learning, M.S. or PhD in Computer Science, M.S. or PhD in related areas", "qualificationsPreferred" : "Publications at top ML conferences, Experience using Cursor, Experience using Copilot, Experience using Codex, Experience using AI coding assistants, Familiarity with LLM-powered productivity tools", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building foundation ML models that utilize our extensive knowledge graph and billions of Pins, we aim to significantly enhance the core Pinterest product. Our visual modeling team is currently seeking new members to focus on the advancement of vision-centric LLMs. We are building VLMs capable of perceiving intricate visual details and understanding user aesthetics to facilitate communication through visual assets using tools like multimodal search and text-to-image models. This role offers the opportunity to work with Pinterest's unique visual-text datasets to develop large-scale generative models for production. You will join the core visual pod, a collaborative group of approximately six engineers and a product prototyping team, to create specialized evaluation benchmarks and contribute to the broader research community. What you’ll do: Prototype new model architectures for Pinterest VLMs. We’re looking for hands-on experience working with finetuning open-source LLM models and improve their visual perception and tool using capabilities. Develop new evaluation benchmarks that tailors to vision-centric capabilities such as fashion style recommendations. Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company. Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc. Publish and publicize your work via conferences, paper submissions, blog posts, etc. Mentor more junior researchers or research interns within the Pinterest Labs organization. What we’re looking for: Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of visual encoders and LLMs. 2+ years of industry computer vision experience. M. S. or PhD in Machine Learning, Computer Science, or related areas. Nice to Have: Publications at top ML conferences. Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring. Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-AK7 #LI-Remote At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $138,905—$285,982 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.", "summaryDescription" : "Machine Learning Engineer II, Computer Vision Applied Science at Pinterest. Skills: Computer Vision, Machine Learning, LLMs, Generative Models. Prototype new model architectures. Finetune open-source LLM models", "postedDate" : "2026-06-13T21:34:09.083", "createdAt" : "2026-06-13T21:34:09.083", "lastUpdated" : "2026-06-15T07:48:19.383", "ingestTimestamp" : "2026-06-13T21:34:09.083", "mongoId" : "6a2c966c74d8ee00a098f818", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 138905, "salaryAnnualMax" : 285982, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Finetuning LLM models", "RLHF", "Targeted fine-tuning", "Mentoring", "Computer Vision", "Machine Learning", "LLMs", "Generative Models", "Applied machine learning", "Visual perception", "Tool using capabilities", "Research strategy", "Visual training data", "Generative strategy", "Knowledge graph", "Visual-text datasets", "Fashion style recommendations", "Multimodal search", "Text-to-image models", "Pinterest Canvas", "Cursor", "Copilot", "Codex" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69d140072beec4dd3ddbe3ef", "title" : "Software Development Engineer, Ring Cloud Computer Vision", "company" : "Evi Technologies Limited", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Development Engineer in Cambridge, United Kingdom, adjusted for the technology industry and company size." }, "location" : "Cambridge, England, GBR", "locations" : [ "Cambridge, England, GBR" ], "timestamp" : "2026-06-15T04:42:24.954", "fingerprint" : "ad4b88ee768e7a9933b46b4a58b9f9901134651807f2449a23065e8d6d594c0a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10383156/apply", "externalId" : "ecb911c6-af25-41e8-b470-1148eafa1bb8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.1975846,0.1391537" } ], "locationText" : "Cambridge, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Java, Python, C++, C#, Computer vision, Cloud computing", "professionalSkills" : [ "Product definition", "System design", "High-performance services", "Scalable services", "Cloud software" ], "hardSkillsList" : [ "AI-powered services", "Cloud services", "Computer vision services", "Distributed systems" ], "softSkillsList" : [ "Problem-solving", "Ownership" ], "hardSkills" : [ { "name" : "AI-powered services", "level" : "intermediate" }, { "name" : "Cloud services", "level" : "intermediate" }, { "name" : "Computer vision services", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Ownership" } ], "majorSkills" : "Computer vision, Cloud services, AI", "majorSkillsList" : [ "Computer vision", "Cloud services", "AI" ], "coreResponsibilities" : "Drive product definition, Drive design, Drive development, Drive deployment, Drive scaling, Drive global-scale operations, Create cloud services, Analyze customer experiences, Work on proof-of-concepts, Develop cloud services, Launch cloud services, Ensure flawless operations, Design features, Analyze data, Drive improvements, Explore solutions, Collaborate with teams, Consult solution proposals, Share expertise, Drive innovation", "teamCollaboration" : "Cross-disciplinary teams; Cross-functional teams", "domainKnowledge" : "Smart home security; Distributed cloud systems; Consumer electronics", "domainList" : [ "smart-home-security", "distributed-cloud-systems", "consumer-electronics" ], "domainSpecificKnowledge" : [ "Smart home security", "Distributed cloud systems", "Consumer electronics" ], "innovationCreativity" : "Innovation; Creativity", "problemSolvingSkills" : "Problem-solving; Complex technological puzzles", "outcomesObjectives" : "Deliver exceptional user experience; Make tangible impact on people's lives; Redefine smart home experience; Make lasting impact", "qualificationsBasic" : "Experience contributing to architecture and design, Experience in professional software development, Experience with Java, Python, C++, or C#, Object-oriented design experience", "qualificationsPreferred" : "Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or related field, Experience with full software development life cycle, Experience with coding standards, Experience with code reviews, Experience with source control management, Experience with build processes, Experience with testing, Experience with operations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "You will join a fast paced team within Amazon that builds always-on AI-powered Ring Cloud CV (computer vision) services serving tens of millions of users globally. As a Software Development Engineer you'll collaborate with cross-disciplinary teams to build cloud software for Ring's innovational consumer electronics products. From enhancing existing features to designing new from scratch, you'll have rare opportunity to analyze customer experiences, work on proof-of-concepts, develop high-performance production-ready cloud services and launch them at a truly global scale. Your expertise will be also instrumental in ensuring flawless operations of Ring core services and thus delivering exceptional user experience. While working at the forefront of AI and cloud technologies you can make tangible impact on people's lives. Key job responsibilities In this pivotal role you'll drive key aspects of product definition, design, development, deployment, scaling, and global-scale operations. Your contributions will have direct impact on millions of customers worldwide, as you create highly available, resilient, and scalable cloud services that redefine the smart home experience. This is an opportunity for problem-solvers and technology enthusiasts to thrive. If you: - Embrace challenges and find joy in solving complex technological puzzles, - Are passionate about designing and building secure, high-performance, and scalable cloud services, - Possess an steady commitment, taking ownership and driving projects to successful completion, - Thrive on creating impactful solutions that make difference in people's lives ...then this role is tailored for you. A day in the life Every day brings new challenges and opportunities for innovation. You'll design state-of-the-art features from scratch, leveraging latest technologies to redefine the smart home security experience. Dive deep into production metrics and customer insights, analyze data to drive continuous improvements of our cloud services. Explore new solutions by working on technical proof-of-concepts, pushing boundaries of what's possible in cloud computing and computer vision. Collaborate closely with cross-functional teams, consult solution proposals, share expertise and drive innovation. At Amazon, variety, challenge, creativity, and making global impact are the norms, fostering an environment of continuous growth and discovery. About the team We are a team of passionate professionals who thrive on collaboration and innovation and we never stop in improving distributed cloud systems, challenging status quo and leveraging state-of-the-art technologies. Our team is at the forefront of delivering always-on AI-powered distributed systems that serve tens of millions of Ring customers worldwide. Dealing with hundreds of thousands of events per second and billions of video streams processed daily, you'll be part of a elite group working on truly global-scale cloud systems that few companies can match. We do collaborate with experts from diverse backgrounds, share knowledge and driving innovation that redefines global smart home security landscape. You will find us as a supportive and inclusive environment that fosters continuous growth, knowledge-sharing, and a deep sense of camaraderie. Together, we push boundaries, explore new frontiers, and deliver solutions that make lasting impact. Find out about our interviewing process here: https://www.amazon.jobs/content/en/how-we-hire/interviewing-at-amazon Basic Qualifications: - Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems - Experience in professional, non-internship software development - Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design Preferred Qualifications: - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, Ring Cloud Computer Vision at Evi Technologies Limited. Skills: Computer vision, Cloud services, AI. Drive product definition. Drive design", "postedDate" : "2026-06-13T14:08:12.008", "createdAt" : "2026-06-13T14:08:12.008", "lastUpdated" : "2026-06-15T04:42:24.954", "ingestTimestamp" : "2026-06-13T14:08:12.008", "mongoId" : "69d140072beec4dd3ddbe3ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10383156/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI-powered services", "Cloud services", "Computer vision services", "Distributed systems", "Problem-solving", "Ownership", "Computer vision", "AI", "Product definition", "System design", "High-performance services", "Scalable services", "Cloud software", "Smart home security", "Distributed cloud systems", "Consumer electronics" ], "skillCount" : 16, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a262ec174d8ee00a02092ab", "title" : "Sr Computer Support Analyst", "company" : "Netrix Global", "industry" : "Cybersecurity", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Computer Support Analyst in Chicago, adjusted for the technology industry and company size." }, "location" : "Chicago, IL", "locations" : [ "Chicago", "IL" ], "timestamp" : "2026-06-16T03:34:50.987", "fingerprint" : "0b5b2f60b44047e131ff0da41f4aedbdece06761ad1292b842f929af522e613f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://netrix-global.breezy.hr/p/59f89f1caa70-sr-computer-support-analyst", "externalId" : "59f89f1caa70", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Support IT services", "domainKnowledge" : "Cybersecurity", "domainList" : [ "cybersecurity" ], "domainSpecificKnowledge" : [ "Cybersecurity" ], "qualificationsBasic" : "Backend engineering experience", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "About The Opportunity This Sr Computer Support Analyst position is located in Chicago, IL 60614 of the United States. Netrix Global, award-winning provider of cybersecurity and end-to-end IT services, is seeking a Sr Computer Support Analyst, with strong backend engineering experience supporting", "summaryDescription" : "Sr Computer Support Analyst at Netrix Global. Support IT services", "createdAt" : "2026-06-14T18:41:21.130", "lastUpdated" : "2026-06-16T03:34:50.987", "ingestTimestamp" : "2026-06-14T18:41:21.130", "mongoId" : "6a262ec174d8ee00a02092ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Cybersecurity" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a306f0df292fd229cfe467b", "title" : "Sr. Software Engineer, AI Enablement", "company" : "Klaviyo", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Software Engineer in the SaaS industry in Boston, adjusted for company size and seniority." }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T10:16:03.428", "fingerprint" : "27047e4a333b8f308cc25b4f0678dc100a9ababac90472c3940203bf3bb276eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.klaviyo.com/careers/jobs?gh_jid=7688416003", "externalId" : "7688416003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Django, Celery, Braintrust, Chronosphere, Claude, Cursor, MySQL, Redis, Pulsar, Amazon Web Services, EC2, RDS, Aurora, Kubernetes, Terraform, React, TypeScript, JavaScript, HTML, CSS, PyTorch, TensorFlow, LangChain, Gemini, Copilot", "professionalSkills" : [ "Technical leadership", "System design", "Architecture guidance" ], "hardSkillsList" : [ "Code generation", "Automating processes", "Testing automation", "Deployment automation", "Operational task automation" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Automating processes", "level" : "intermediate" }, { "name" : "Testing automation", "level" : "intermediate" }, { "name" : "Deployment automation", "level" : "intermediate" }, { "name" : "Operational task automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "AI Enablement, Full Stack Development, Automation", "majorSkillsList" : [ "AI Enablement", "Full Stack Development", "Automation" ], "coreResponsibilities" : "Act as subject matter expert, Mentor other engineers, Champion AI-first development, Experiment with AI tools, Test AI tools, Learn from AI tools, Share AI insights, Champion new applications, Design full-stack platforms, Implement full-stack platforms, Maintain full-stack platforms, Integrate AI services, Utilize AI capabilities, Identify automation opportunities, Apply AI for automation, Automate engineering processes, Improve engineering efficiency, Improve engineering velocity, Apply standards for AI enablement, Contribute to standards for AI enablement, Apply patterns for AI enablement, Contribute to patterns for AI enablement, Apply guidance for AI enablement, Contribute to guidance for AI enablement, Ensure reliability, Ensure security, Ensure performance, Partner with Product, Partner with Design, Partner with Engineering teams, Understand team needs, Gather team requirements, Deliver production-ready solutions, Tackle tangible projects, Provide immediate impact, Shape AI application, Drive ML improvements, Build tools, Build platforms, Solve open-ended problems, Contribute to company ambition, Contribute to company growth, Write clean software, Write maintainable software, Solve hard problems, Write quality code, Push team forward, Push mission forward", "teamCollaboration" : "Cross-functional collaboration; Partner with Product; Partner with Design; Partner with Engineering", "domainKnowledge" : "AI enablement; AI adoption; Generative AI; Machine Learning; Responsible AI use; AI privacy; AI security; AI bias awareness; Human-in-the-loop AI", "domainList" : [ "ai-enablement", "ai-adoption", "generative-ai", "machine-learning", "responsible-ai-use", "ai-privacy", "ai-security", "ai-bias-awareness", "human-in-the-loop-ai" ], "domainSpecificKnowledge" : [ "AI enablement", "AI adoption", "Generative AI", "Machine Learning", "Responsible AI use", "AI privacy", "AI security", "AI bias awareness", "Human-in-the-loop AI" ], "toolProficiency" : [ "Copilot", "Cursor", "LangChain", "PyTorch", "TensorFlow", "Kubernetes", "Terraform" ], "innovationCreativity" : "Experimentation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Accelerate engineering velocity; Accelerate engineering innovation; Elevate quality responsibly; Dramatically improve engineering efficiency; Dramatically improve engineering velocity", "qualificationsBasic" : "5+ years full stack development, 5+ years Python experience, Experience designing scalable databases, Experience building complex software, Experience with AWS services, Experience standing up infrastructure, Experience monitoring for defects, Experience building REST APIs, Experience building GraphQL, Experience with middleware development", "qualificationsPreferred" : "Experience with AI/ML frameworks, Experience with AI/ML platforms, Prior experience in high-growth environment, Experience navigating technical complexity, Experience navigating change", "workSiteFlexibility" : "Flexible", "rawDescription" : "At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Senior Software Engineer, AI Enablement Why You Should Join the AI Enablement Team Join our dynamic AI Enablement team and play a pivotal role in accelerating our engineering organization's velocity and innovation. As a Senior Software Engineer, you’ll be at the forefront of how we apply Artificial Intelligence to software engineering—building the foundational frameworks, experimenting in real production workflows, and contributing to how teams across the company build with AI. We are looking for an experienced Full Stack Engineer with a deep passion for using AI and automation to solve complex, large-scale problems. What You'll Achieve: Key Responsibilities You will be the driving force behind AI adoption across our engineering teams, focusing on tangible, impactful outcomes: Technical Leadership: Act as a subject matter expert for AI-driven engineering tools, mentoring other engineers and championing a culture of AI-first development. Experiment: Continuously experiment with AI tools—testing, learning, and sharing insights to keep the team and organization ahead of the curve, as well as championing new applications that accelerate workflows and elevate quality responsibly. Build Paved Paths: Design, implement, and maintain robust, scalable full-stack platforms and tools that allow other engineers to easily integrate and utilize AI services and capabilities within their projects. Drive Automation: Identify high-leverage opportunities to apply AI for automating engineering processes, such as code generation, testing, deployment, and operational tasks, to dramatically improve engineering efficiency and velocity. Establish Best Practices: Apply and contribute to the standards, patterns, and architectural guidance for responsible and effective AI enablement, ensuring reliability, security, and performance. Cross-Functional Collaboration: Partner closely with Product, Design, and other Engineering teams to understand needs, gather requirements, and deliver production-ready solutions. What Makes This Role Exciting Hot Start & High Impact: You won't be on a \"listening tour.\" Your first 90 days will involve tackling tangible projects that provide an immediate impact on engineering productivity. Shape the Future: You will be at the forefront of applying generative AI and ML to drive meaningful improvements to how our engineering teams work. Ownership and Ambition: You will have significant ownership over the tools and platforms you build, solving complex, open-ended problems that directly contribute to our company's ambition and growth. Who You Are: 5+ years of full stack development experience. Hands-on experience with one or more front end technologies (React, TypeScript, Angular, Vue, etc.) Strong experience with specific AI/ML frameworks or platforms (e.g., PyTorch, TensorFlow, LangChain, Claude, Gemini, Copilot). Prior experience in a high-growth environment, navigating technical complexity and change. Experience with Python / Django or similarly typed languages. Experience with designing and managing scalable databases. Experience building and maintaining complex software. You’ll join us in writing clean, maintainable software that solves hard problems. You’ll write testable, quality code. You’ll push the team and the mission forward with your contributions. Strong experience with AWS services, how to stand up infrastructure, and monitor for defects. Hands-on experience with building REST APIs, GraphQL, and other middleware development tools. You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. Technologies we use (not exhaustive): Python, Django, Celery Braintrust, chronosphere Claude, Cursor MySQL, Redis, Pulsar Amazon Web Services (EC2, RDS, Aurora, etc.), Kubernetes, Terraform, and other DevOps tools React, TypeScript, JavaScript, HTML, CSS Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U. S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).", "summaryDescription" : "Sr. Software Engineer, AI Enablement at Klaviyo. Skills: AI Enablement, Full Stack Development, Automation. Act as subject matter expert. Mentor other engineers", "postedDate" : "2026-06-16T01:15:46.944", "createdAt" : "2026-06-16T01:15:46.944", "lastUpdated" : "2026-06-16T10:16:03.428", "ingestTimestamp" : "2026-06-16T01:15:46.944", "mongoId" : "6a306f0df292fd229cfe467b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 245000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Code generation", "Automating processes", "Testing automation", "Deployment automation", "Operational task automation", "Mentoring", "AI Enablement", "Full Stack Development", "Automation", "Technical leadership", "System design", "Architecture guidance", "AI enablement", "AI adoption", "Generative AI", "Machine Learning", "Responsible AI use", "AI privacy", "AI security", "AI bias awareness", "Human-in-the-loop AI", "Copilot", "Cursor", "LangChain", "PyTorch", "TensorFlow", "Kubernetes", "Terraform" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a715c74d8ee00a06491be", "title" : "Autonomous Vehicle Engineer (Mechanical)", "company" : "Venti Technologies", "industry" : "Engineering", "salary" : { "min" : 72500.0, "max" : 97500.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Autonomous Vehicle Engineer in Singapore, adjusted for the technology industry and company size." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-13T20:01:36.975", "fingerprint" : "d2e2c92bbbff386f6df67d49ef89b89ca6a4cc44adcf966e668a0dc75653832e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/GoVenti/96d43f31-445a-474c-913d-e1080586adc6/application", "externalId" : "96d43f31-445a-474c-913d-e1080586adc6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "technicalSkills" : "SolidWorks", "professionalSkills" : [ "Manufacturing costs", "Cost control", "BOM management" ], "hardSkillsList" : [ "Sheet metal bending", "CNC milling", "3D printing", "Surface modelling", "Electrical integration", "Pneumatic systems" ], "hardSkills" : [ { "name" : "Sheet metal bending", "level" : "intermediate" }, { "name" : "CNC milling", "level" : "intermediate" }, { "name" : "3D printing", "level" : "intermediate" }, { "name" : "Surface modelling", "level" : "intermediate" }, { "name" : "Electrical integration", "level" : "intermediate" }, { "name" : "Pneumatic systems", "level" : "intermediate" } ], "coreResponsibilities" : "Design custom brackets, Design mounts, Design modular sub-assemblies, Integrate mechanical parts, Integrate sensors, Integrate computers, Route wiring, Design data acquisition mechanisms, Validate data mechanisms, Measure physical trucks, Measure machinery, Create CAD models, Create manufacturing drawings, Manage fabrication process, Build prototypes, Test designs, Validate designs, Write assembly instructions, Write maintenance plans, Create Bills of Materials, Track component suppliers", "domainKnowledge" : "Autonomous logistics systems; Deep learning; Autonomy technologies; Logistics algorithms", "domainList" : [ "autonomous-logistics-systems", "deep-learning", "autonomy-technologies", "logistics-algorithms" ], "domainSpecificKnowledge" : [ "Autonomous logistics systems", "Deep learning", "Autonomy technologies", "Logistics algorithms" ], "documentationSkills" : "Manufacturing drawings; Assembly instructions; Maintenance plans", "innovationCreativity" : "Innovators; Tinkerers; Problem-solvers", "problemSolvingSkills" : "Problem-solvers", "qualificationsBasic" : "2 or more years mechanical design engineer, Daily SolidWorks modelling, Sheet metal operations, Surface modelling, Design for CNC machining, Design for sheet metal fabrication, Design for additive manufacturing, Design choices keep production cheap, Build prototypes, Physically validate designs, Create clear technical drawings, Create detailed assembly instructions, Integrate wiring, Integrate sensors, Integrate connectors, Understand pneumatic systems, Manage time, Work on multiple projects", "workSiteFlexibility" : "Onsite", "rawDescription" : "A WORLD EMPOWERED BY AUTONOMY. WE BUILD ROBOTIC VEHICLES TO IMPROVE LOGISTICS SAFETY, FORGE A GREENER EARTH, AND ENHANCE HUMAN LIVES. We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality. ABOUT VENTI TECHNOLOGIES Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters. Position overview We are looking for a Mechanical Engineer with at least 2 years of experience to join our team. Your main focus will be designing parts that are ready to be used in heavy-duty autonomous trucks, not just on a screen. You need to be fast and accurate in SolidWorks and genuinely understand how parts get made. We need someone who knows the limits of sheet metal bending, CNC milling, and 3D printing, and uses that knowledge to design parts that keep our manufacturing costs low. You should also have a basic understanding on electrical and pneumatic systems to help integrate our mechanical designs with the rest of the AV system. Key Responsibilities: - Design Sub-Assemblies: Design and develop custom brackets, mounts, and modular sub-assemblies that neatly integrate mechanical parts, measuring mechanisms, sensors, computers, and routing. - Develop Data Mechanisms: Design and validate mechanisms for acquiring real-time data, including wheel encoders, joint positions, and articulated body angles. - Vehicle & Machine Mapping: Measure physical trucks and machinery in person to create accurate CAD models for installing the Venti AV kit. - Sourcing & Vendor Management: Create clear manufacturing drawings, send them out to suppliers for quotes, and manage the fabrication process. - Prototyping & Testing: Build, test, and physically validate your designs to catch and fix issues before they go into full production. - Production Hand-off: Write detailed, step-by-step assembly instructions so the fabrication and integration teams can build your designs without confusion. - Maintenance Planning: Write up clear maintenance plans for your designs to ensure the hardware is easy to service down the road. - BOM Management: Create and manage cross-project Bills of Materials (BOMs) and keep track of component suppliers. Requirements: - Experience: 2 or more years working as a mechanical design engineer or similar - CAD: Strong, daily experience modelling parts in SolidWorks, including specific familiarity with sheet metal operations and surface modelling. - Manufacturing Knowledge: You must know how to design specifically for CNC machining, sheet metal fabrication, and additive manufacturing. - Cost Control: A track record of making smart design choices that keep production simple and cheap. - Hands-on Work: Comfortable getting your hands dirty building prototypes and physically validating your designs. - Technical Drawings: Experienced in creating clear technical drawings for manufacturing and detailed assembly instructions for the production team. - Electrical: A basic understanding of how to integrate wiring, sensors, and connectors into your mechanical designs. - Pneumatics: Knowing your way around valves, cylinders, and air routing. - Comfortable managing your time and working on multiple projects simultaneously. SALARY IS COMMENSURATE WITH EXPERIENCE. WE ALSO OFFER WORLD-CLASS BENEFITS, FANTASTIC CULTURE, FLEXIBLE WORKING ARRANGEMENTS, AND A GREAT INTERNATIONAL WORKING ENVIRONMENT. COME AND JOIN US!", "summaryDescription" : "Autonomous Vehicle Engineer (Mechanical) at Venti Technologies. Design custom brackets. Design mounts", "postedDate" : "2026-06-11T19:23:46.968", "createdAt" : "2026-06-11T19:23:46.968", "lastUpdated" : "2026-06-13T20:01:36.975", "ingestTimestamp" : "2026-06-11T19:23:46.968", "mongoId" : "6a2a715c74d8ee00a06491be", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Sheet metal bending", "CNC milling", "3D printing", "Surface modelling", "Electrical integration", "Pneumatic systems", "Manufacturing costs", "Cost control", "BOM management", "Autonomous logistics systems", "Deep learning", "Autonomy technologies", "Logistics algorithms" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "vehicle", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Autonomous Vehicle Logistics" }, { "id" : "6a210ec074d8ee00a0af9679", "title" : "Research Scientist/Engineer, Autonomous Security", "company" : "DeepMind", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Research Scientist/Engineer in Mountain View, United States, adjusted for DeepMind's industry and size." }, "location" : "[Mountain View, CA, USA, [Mountain View, CA, USA], Mountain View, null, CA, US]", "locations" : [ "[Mountain View, CA, USA, [Mountain View, CA, USA], Mountain View, null, CA, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "[San Francisco, CA, USA, [San Francisco, CA, USA], San Francisco, null, CA, US]" ], "timestamp" : "2026-06-16T10:46:06.009", "fingerprint" : "72a09e1cbfbfad513bb8342fd0c026f9a411bb24fca7702f15689fa2e6ed6571", "source" : "google", "language" : "en", "externalId" : "88672979918955206", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "summaryDescription" : "Research Scientist/Engineer, Autonomous Security at DeepMind", "postedDate" : "2026-06-16T01:50:00.829", "createdAt" : "2026-06-16T01:50:00.829", "lastUpdated" : "2026-06-16T10:46:06.009", "ingestTimestamp" : "2026-06-16T01:50:00.829", "mongoId" : "6a210ec074d8ee00a0af9679", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafad74d8ee00a09d782b", "title" : "ML/AI Engineer - Vehicle Intelligence", "company" : "42dot", "industry" : "No Department", "salary" : { "min" : 220780.0, "max" : 311220.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, United States", "locations" : [ "Sunnyvale, United States" ], "timestamp" : "2026-06-15T12:06:12.025", "fingerprint" : "33ceaa7217a18543fabbeb69a89ef50116aa43687fcc67121794aa7d44194f46", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/42dot/3f6ad3e6-6aab-47c3-85b9-26d0bdd52f31/application", "externalId" : "3f6ad3e6-6aab-47c3-85b9-26d0bdd52f31", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, PyTorch, TensorFlow, JAX, Reinforcement learning, Multimodal AI, Foundation models, Large language models, Personalization, Time-series forecasting, Planning, Simulation-based learning, On-device inference", "professionalSkills" : [ "Data-driven modeling", "System design" ], "hardSkillsList" : [ "Statistical learning", "Data-driven decision-making" ], "hardSkills" : [ { "name" : "Statistical learning", "level" : "intermediate" }, { "name" : "Data-driven decision-making", "level" : "intermediate" } ], "majorSkills" : "Machine learning, AI, Reinforcement learning, Vehicle intelligence", "majorSkillsList" : [ "Machine learning", "AI", "Reinforcement learning", "Vehicle intelligence" ], "coreResponsibilities" : "Develop AI-powered features, Apply reinforcement learning, Build models, Create personalization models, Use simulation, Collaborate with teams, Integrate ML models", "teamCollaboration" : "Cross-functional teams; Autonomous driving teams; VLA teams", "domainKnowledge" : "Vehicle telemetry; User behavior; Navigation data; Energy usage; Thermal systems; Cabin comfort; Charging systems; Fleet data; Connected vehicles; Mobility platforms; Automotive software; Energy management; Intelligent transportation", "domainList" : [ "vehicle-telemetry", "user-behavior", "navigation-data", "energy-usage", "thermal-systems", "cabin-comfort", "charging-systems", "fleet-data", "connected-vehicles", "mobility-platforms", "automotive-software", "energy-management", "intelligent-transportation" ], "domainSpecificKnowledge" : [ "Vehicle telemetry", "User behavior", "Navigation data", "Energy usage", "Thermal systems", "Cabin comfort", "Charging systems", "Fleet data", "Connected vehicles", "Mobility platforms", "Automotive software", "Energy management", "Intelligent transportation" ], "innovationCreativity" : "R&D projects", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "Bachelor's, Master's, or Ph. D, 3+ years experience, Experience with ML frameworks, Experience building models", "qualificationsPreferred" : "Experience applying RL, Familiarity with vehicle systems, Experience with multimodal AI, Knowledge of deploying ML models, Experience collaborating cross-functionally", "rawDescription" : "WE ARE LOOKING FOR THE BEST ABOUT US 42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles. We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system. ABOUT THE ROLE We are building next-generation vehicle intelligence at 42dot, enabling vehicles to understand user intent, trip context, vehicle state, environmental conditions, and system constraints, then coordinate vehicle behavior to deliver personalized, proactive, transparent, and trustworthy experiences. As an ML / AI Engineer, you will design and develop AI-driven vehicle intelligence features that help users drive farther, feel more confident, reduce cognitive load, and experience vehicles that adapt to their needs. You will work across vehicle telemetry, user behavior, navigation, energy usage, thermal systems, cabin comfort, charging, simulation, and fleet data to build intelligent systems that can predict, recommend, plan, and optimize vehicle behavior. This role is focused on applying modern AI and machine learning technologies, including reinforcement learning, multimodal AI, foundation models, large language models, personalization, time-series forecasting, planning, simulation-based learning, and on-device inference. Reinforcement learning will be an important intelligence algorithm for developing adaptive vehicle behaviors, optimizing system-level decisions, and improving vehicle experiences through simulation, fleet feedback, and real-world operating data. You will also collaborate closely with autonomous driving and VLA engineers to connect, integrate, and combine vehicle intelligence with driving intelligence. This role is not focused on developing core VLA models, but it will help define how user intent, trip goals, vehicle constraints, energy targets, comfort preferences, and system-level recommendations are shared with VLA and autonomous driving systems. Responsibilities - Develop AI-powered vehicle intelligence features that understand user intent, trip goals, vehicle state, and system constraints. - Apply reinforcement learning, planning, optimization, and data-driven modeling to improve vehicle-level decisions across energy, comfort, charging, routing, and proactive vehicle preparation. - Build models using vehicle telemetry, navigation data, user behavior, weather, traffic, cabin conditions, charging patterns, and fleet data. - Create personalization models that learn user routines, comfort preferences, driving patterns, charging habits, and trip priorities while preserving privacy and user control. - Use simulation, digital twins, and scenario-based testing to train, evaluate, and validate AI behavior before production deployment. - Collaborate with autonomous driving and VLA teams to define interfaces for sharing user intent, route objectives, vehicle constraints, energy targets, comfort preferences, and system-level recommendations. - Integrate ML models into production vehicle and cloud platforms, considering latency, compute efficiency, reliability, safety, explainability, and over-the-air update readiness. Work cross-functionally with Product, UX, Systems Engineering and Controls. Qualifications - Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Electrical Engineering, or a related technical field. - 3+ years of experience developing and deploying machine learning or AI solutions in production environments. - Strong experience with machine learning frameworks and programming languages such as Python, PyTorch, TensorFlow, JAX, or similar tools. - Experience building predictive, optimization, recommendation, forecasting, or personalization models using large-scale real-world datasets. - Solid understanding of reinforcement learning, time-series modeling, statistical learning, and data-driven decision-making systems. Preferred Qualifications - Experience applying reinforcement learning, planning, simulation-based learning, or optimization techniques to complex real-world systems. - Familiarity with vehicle systems, connected vehicles, mobility platforms, automotive software, energy management, charging systems, or intelligent transportation technologies. - Experience working with multimodal AI, foundation models, large language models (LLMs), agent-based systems, or personalized AI experiences. - Knowledge of deploying ML models to edge or embedded platforms, including considerations for latency, compute efficiency, safety, reliability, and on-device inference. - Experience collaborating with cross-functional teams including product, UX, controls, systems engineering, autonomous driving, or robotics organizations to bring AI-powered features into production. Interview Process - Application Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - Hiring - The screening procedures may vary depending on the position, schedule, or other circumstances. You will be individually notified of the screening schedule and results via the email address provided in your application. Compensation - $220,780 – $311,220 per year Additional Information - In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume. - All documents must be submitted in PDF format and under 30MB in size. - If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai. - We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws. - Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA). - 42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement - 42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. ※ Please review the following information before applying. - How to work in 42dot, About 42dot Way → https://42dot.ai/careers/way", "summaryDescription" : "ML/AI Engineer - Vehicle Intelligence at 42dot. Skills: Machine learning, AI, Reinforcement learning, Vehicle intelligence. Develop AI-powered features. Apply reinforcement learning", "createdAt" : "2026-06-14T04:14:20.252", "lastUpdated" : "2026-06-15T12:06:12.025", "ingestTimestamp" : "2026-06-14T04:14:20.252", "mongoId" : "6a2cafad74d8ee00a09d782b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220780, "salaryAnnualMax" : 311220, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical learning", "Data-driven decision-making", "Machine learning", "AI", "Reinforcement learning", "Vehicle intelligence", "Data-driven modeling", "System design", "Vehicle telemetry", "User behavior", "Navigation data", "Energy usage", "Thermal systems", "Cabin comfort", "Charging systems", "Fleet data", "Connected vehicles", "Mobility platforms", "Automotive software", "Energy management", "Intelligent transportation" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e420f8b1b0376634c492", "title" : "Computer Vision Scientist, International Machine Learning, Australia", "company" : "Amazon Support Services Pty Ltd", "industry" : "Machine Learning Science, Applied Science, no business category", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Computer Vision Scientist in Melbourne, Australia, adjusted for the technology industry and Amazon's company size." }, "location" : "Melbourne, Victoria, AUS", "locations" : [ "Melbourne, Victoria, AUS" ], "timestamp" : "2026-06-15T07:43:03.323", "fingerprint" : "1c27d63cb2f95e1b32de09d40a2017b149c4c597d66fb039c4c867aedc0924aa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078273/apply", "externalId" : "14e3c434-d588-4aca-ba06-7d81546ff1ae", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, Java, C++, Deep learning, Computer vision, Generative AI, MxNet, Tensor Flow", "professionalSkills" : [ "Business application", "Customer problems" ], "hardSkillsList" : [ "Machine learning", "Computer vision", "Generative models", "Deep learning", "Model pruning" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Computer vision", "level" : "intermediate" }, { "name" : "Generative models", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Model pruning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Computer vision, Machine learning, Generative AI", "majorSkillsList" : [ "Computer vision", "Machine learning", "Generative AI" ], "coreResponsibilities" : "Develop ML and CV solutions, Analyze and extract insights, Automate and enhance content, Design, build, evaluate generative AI models, Communicate with business stakeholders, Understand and align on requirements, Conduct market research, Implement novel ML techniques, Solve customer problems, Mentor interns, Mentor junior scientists, Publish papers", "teamCollaboration" : "Business stakeholders", "domainKnowledge" : "Generative models; E-commerce platform; Machine learning; Computer vision; Deep learning", "domainList" : [ "generative-models", "e-commerce-platform", "machine-learning", "computer-vision", "deep-learning" ], "domainSpecificKnowledge" : [ "Generative models", "E-commerce platform", "Machine learning", "Computer vision", "Deep learning" ], "toolProficiency" : [ "MxNet", "Tensor Flow" ], "communicationSkills" : "Communicate clearly", "innovationCreativity" : "Innovative AI techniques", "problemSolvingSkills" : "Solve customer problems", "outcomesObjectives" : "Transform e-commerce platform; Build AI models; Create next-generation media content; Deliver unforgettable shopping experience", "qualificationsBasic" : "PhD or Master's degree, 4+ years experience, Experience programming language, Publications on top-tier conferences, Deep learning models architecture design, Deep learning training and optimization, Model pruning", "qualificationsPreferred" : "Experience developing deep learning algorithms, Experience with computer vision algorithms, 5+ years building ML models, Developing algorithms for business application, Experience using Unix/Linux, Experience with deep learning frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "** Join Our Innovative Computer Vision Team at Amazon, Australia ** Are you passionate about developing generative models to transform the next generation of e-commerce platform and build AI models used by millions of customers? We invite you to be part of our high-performing Computer Vision team at Amazon located in Melbourne, Australia. As a member of our international Machine Learning group, you will play a key role in developing generative AI solutions that leverage vast amounts of Amazon data and advanced cloud computing resources. Our mission is to create next-generation media content that delivers an unforgettable shopping experience for our customers in emerging marketplaces. We are seeking talented Computer Vision Scientists with a Ph.D. in a related field. This is an opportunity for you to build innovative AI techniques that tackle real-world business challenges. Join a team dedicated to advancing AI technology at Amazon and transforming it into impactful business solutions. #austechjobs Key job responsibilities - Develop scalable machine learning and computer vision solutions to revamp the media block of our catalog - Analyze and extract meaningful insights from large volumes of Amazon’s data to automate and enhance content - Design, build, and evaluate generative AI models tailored to our business use cases - Communicate clearly with business stakeholders to understand and align on requirements - Conduct market, research and implement novel machine learning techniques to solve customer problems - Mentor interns and junior scientists - Publish papers at Tier-1 CV/ML conferences Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming or scripting language like Python, Java, C or C++ - Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Preferred Qualifications: - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms - 5+ years of building machine learning models or developing algorithms for business application experience - Experience using Unix/Linux - Experience with popular deep learning frameworks such as MxNet and Tensor Flow Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Computer Vision Scientist, International Machine Learning, Australia at Amazon Support Services Pty Ltd. Skills: Computer vision, Machine learning, Generative AI. Develop ML and CV solutions. Analyze and extract insights", "postedDate" : "2026-06-13T20:13:20.772", "createdAt" : "2026-06-13T20:13:20.772", "lastUpdated" : "2026-06-15T07:43:03.323", "ingestTimestamp" : "2026-06-13T20:13:20.772", "mongoId" : "68c2e420f8b1b0376634c492", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078273/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Machine learning", "Computer vision", "Generative models", "Deep learning", "Model pruning", "Mentoring", "Generative AI", "Business application", "Customer problems", "E-commerce platform", "MxNet", "Tensor Flow" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305819f292fd229cf40456", "title" : "Senior AI/ML Research Engineer (Computer Vision)", "company" : "Intuitive", "industry" : "Medical Device", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI/ML Research Engineer in Sunnyvale, adjusted for industry and company size." }, "location" : "Sunnyvale, CA, United States", "locations" : [ "Sunnyvale", "CA", "United States" ], "timestamp" : "2026-06-16T10:51:38.419", "fingerprint" : "7a4fc823e9d4d2be7f2c563e2753b9b9a8d6a56992db55286184b213ed4b18d5", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Intuitive/744000131739316-senior-ai-ml-research-engineer-computer-vision-", "externalId" : "744000131739316", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care , our technologies—like the da Vinci surgical system and Ion —have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life. The Future Forward organization is Intuitive’s advanced concepts group. We explore emerging technologies, prototype next-generation solutions, and build software experiences that shape the future of robotic-assisted surgery. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare , you’ll find your purpose here. Primary Function of Position We are building advanced augmented dexterity capabilities for next-generation robotic platforms. As a Senior AI/ML Research Engineer (Computer Vision), you will develop the perception models that let our Embodied-AI system understand the surgical scene. Working within a hierarchical, multimodal stack—where a high-level model interprets sensory observations into structured intent and a low-level policy turns that intent into precise, safe, real-time control—you will focus on the vision layer: designing, training, and evaluating models that extract anatomy, instruments, actions, and surgical context from intraoperative video. You will partner with the broader AI/ML team to define how perception feeds reasoning and control, and you will drive the research-to-deployment path for your models, taking them from offline experimentation to robust, real-time performance in the OR. Working within Intuitive's Future Forward research organization, you will identify, build and finetune the AI/ML models and algorithms that enables us to deliver safe and performant embodied AI systems. This role calls for someone who is equally comfortable getting hands-on with models and data and designing systems that scale. Roles and Responsibilities * Develop temporal models for activity and workflow understanding: event/state recognition and fine-grained temporal action segmentation. * Benchmark in-house models against the state of the art and recommend the target perception architecture. * Define the perception input/output specification and demonstrate offline feasibility on recorded data. * Stand up a continuous-improvement loop (discrepancy flagging, active learning, human-in-the-loop relabeling) and the tooling/UI needed for offline evaluation and the path to real-time use. * Partner with annotation and data teams to shape label taxonomies, QC, and the data pipeline that feeds the AI/ML models. * Establish the path from offline evaluation on recorded data to real-time integration, including the continuous-improvement (human-in-the-loop) data loop. * Partner with AI/ML researchers, robotics, data engineers, and other stakeholders to deliver a perception layer that enables rapid prototyping and learning while working toward a product solution. ## Qualifications Minimum Qualifications * MS or PhD in CS, EE, Robotics, or a related field, with 5+ years of applied computer-vision research experience. * Strong grasp of modern CV and deep-learning fundamentals: CNNs and vision transformers, segmentation, detection, tracking, and representation/self-supervised learning. * Demonstrated work in video understanding, including temporal action segmentation, action/phase recognition, and video segmentation. * Hands-on experience with modern video architectures, including video transformers and self-supervised video pretraining. * Exposure to vision-action (VA) / vision-language-action (VLA) models and world-model / self-supervised predictive architectures (e.g., JEPA-style models, MAE, DINO) for learning visual representations and dynamics. * Experience working with large, messy, real-world video datasets at scale. * Strong software and experimentation skills in Python and C++, with proficiency in one or more of PyTorch/TensorFlow/JAX, and the ability to stand up clean, reproducible experiments and run the full loop (data curation, augmentation, loss design, metrics, error analysis). * A research-and-prototyping mindset: comfortable working in ambiguity, framing open-ended problems, running rapid experiments, and reading and reproducing recent papers to pull promising techniques into practice. * Sound judgment about the path from prototype to product: writing code others can build on, knowing when to optimize versus when to move fast, and thinking ahead about data quality, evaluation, and robustness even at the research stage. * Solid foundations in linear algebra, probability, and optimization, enough to reason about and debug model behavior from first principles. * Comfort collaborating across a multidisciplinary team (ML, robotics, software, and clinical/domain experts) and communicating tradeoffs and findings clearly. Preferred Qualifications * Background in healthcare, medical devices, surgical robotics, or other regulated technical domains. * Sim-to-real workflows and experience with robotics simulators (e.g., NVIDIA Isaac) * Experience with structured, ontology- or taxonomy-based labeling frameworks for fine-grained activity. * Multimodal fusion of video with sensor, telemetry, and system-log streams. * Designing annotation pipelines, QC processes, and active-learning loops. * Real-time / edge inference optimization (e.g., TensorRT, NVIDIA Jetson). * Fine-grained interaction and object-relationship modeling. * Relevant peer-reviewed publications (CVPR, ICCV, ECCV, NeurIPS, etc.). ## Additional Information Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. [Mandatory Notices](https://careers.intuitive.com/en/eeo-and-aap/) U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.", "summaryDescription" : "Senior AI/ML Research Engineer (Computer Vision) at Intuitive", "postedDate" : "2026-06-11T18:27:23.000", "createdAt" : "2026-06-15T23:39:13.032", "lastUpdated" : "2026-06-16T10:51:38.419", "ingestTimestamp" : "2026-06-15T23:39:13.032", "mongoId" : "6a305819f292fd229cf40456", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305003f292fd229ceebc76", "title" : "Senior AI/ML Research Engineer (Computer Vision)", "company" : "Intuitive", "industry" : "Medical Device", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI/ML Research Engineer in Sunnyvale, CA, adjusted for industry and company size." }, "location" : "Sunnyvale, CA, United States", "locations" : [ "Sunnyvale", "CA", "United States" ], "timestamp" : "2026-06-16T08:47:15.118", "fingerprint" : "b18ef07a6994acacfadd87e766ffaae9884f54354a39484fb45fb344fb0a548f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Intuitive/744000131739316-senior-ai-ml-research-engineer-computer-vision-", "externalId" : "744000131739316", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care , our technologies—like the da Vinci surgical system and Ion —have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life. The Future Forward organization is Intuitive’s advanced concepts group. We explore emerging technologies, prototype next-generation solutions, and build software experiences that shape the future of robotic-assisted surgery. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare , you’ll find your purpose here. Primary Function of Position We are building advanced augmented dexterity capabilities for next-generation robotic platforms. As a Senior AI/ML Research Engineer (Computer Vision), you will develop the perception models that let our Embodied-AI system understand the surgical scene. Working within a hierarchical, multimodal stack—where a high-level model interprets sensory observations into structured intent and a low-level policy turns that intent into precise, safe, real-time control—you will focus on the vision layer: designing, training, and evaluating models that extract anatomy, instruments, actions, and surgical context from intraoperative video. You will partner with the broader AI/ML team to define how perception feeds reasoning and control, and you will drive the research-to-deployment path for your models, taking them from offline experimentation to robust, real-time performance in the OR. Working within Intuitive's Future Forward research organization, you will identify, build and finetune the AI/ML models and algorithms that enables us to deliver safe and performant embodied AI systems. This role calls for someone who is equally comfortable getting hands-on with models and data and designing systems that scale. Roles and Responsibilities * Develop temporal models for activity and workflow understanding: event/state recognition and fine-grained temporal action segmentation. * Benchmark in-house models against the state of the art and recommend the target perception architecture. * Define the perception input/output specification and demonstrate offline feasibility on recorded data. * Stand up a continuous-improvement loop (discrepancy flagging, active learning, human-in-the-loop relabeling) and the tooling/UI needed for offline evaluation and the path to real-time use. * Partner with annotation and data teams to shape label taxonomies, QC, and the data pipeline that feeds the AI/ML models. * Establish the path from offline evaluation on recorded data to real-time integration, including the continuous-improvement (human-in-the-loop) data loop. * Partner with AI/ML researchers, robotics, data engineers, and other stakeholders to deliver a perception layer that enables rapid prototyping and learning while working toward a product solution. ## Qualifications Minimum Qualifications * MS or PhD in CS, EE, Robotics, or a related field, with 5+ years of applied computer-vision research experience. * Strong grasp of modern CV and deep-learning fundamentals: CNNs and vision transformers, segmentation, detection, tracking, and representation/self-supervised learning. * Demonstrated work in video understanding, including temporal action segmentation, action/phase recognition, and video segmentation. * Hands-on experience with modern video architectures, including video transformers and self-supervised video pretraining. * Exposure to vision-action (VA) / vision-language-action (VLA) models and world-model / self-supervised predictive architectures (e.g., JEPA-style models, MAE, DINO) for learning visual representations and dynamics. * Experience working with large, messy, real-world video datasets at scale. * Strong software and experimentation skills in Python and C++, with proficiency in one or more of PyTorch/TensorFlow/JAX, and the ability to stand up clean, reproducible experiments and run the full loop (data curation, augmentation, loss design, metrics, error analysis). * A research-and-prototyping mindset: comfortable working in ambiguity, framing open-ended problems, running rapid experiments, and reading and reproducing recent papers to pull promising techniques into practice. * Sound judgment about the path from prototype to product: writing code others can build on, knowing when to optimize versus when to move fast, and thinking ahead about data quality, evaluation, and robustness even at the research stage. * Solid foundations in linear algebra, probability, and optimization, enough to reason about and debug model behavior from first principles. * Comfort collaborating across a multidisciplinary team (ML, robotics, software, and clinical/domain experts) and communicating tradeoffs and findings clearly. Preferred Qualifications * Background in healthcare, medical devices, surgical robotics, or other regulated technical domains. * Sim-to-real workflows and experience with robotics simulators (e.g., NVIDIA Isaac) * Experience with structured, ontology- or taxonomy-based labeling frameworks for fine-grained activity. * Multimodal fusion of video with sensor, telemetry, and system-log streams. * Designing annotation pipelines, QC processes, and active-learning loops. * Real-time / edge inference optimization (e.g., TensorRT, NVIDIA Jetson). * Fine-grained interaction and object-relationship modeling. * Relevant peer-reviewed publications (CVPR, ICCV, ECCV, NeurIPS, etc.). ## Additional Information Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. [Mandatory Notices](https://careers.intuitive.com/en/eeo-and-aap/) U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.", "summaryDescription" : "Senior AI/ML Research Engineer (Computer Vision) at Intuitive", "postedDate" : "2026-06-11T18:27:23.000", "createdAt" : "2026-06-15T21:39:15.472", "lastUpdated" : "2026-06-16T08:47:15.118", "ingestTimestamp" : "2026-06-15T21:39:15.472", "mongoId" : "6a305003f292fd229ceebc76", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a0a5d861663d49372c88d54", "title" : "Autonomous Vehicle AI Engineer III - Computer Vision and Path Planning", "company" : "Blue Origin", "industry" : "Spaceflight", "salary" : { "min" : 164652.0, "max" : 230512.8, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-05-18T06:08:50.689", "fingerprint" : "2c758346507471a675d8e60f451e6904381ffaa10acd7c0aa3c198a23e2249b3", "source" : "workday", "language" : "en", "applyUrl" : "https://blueorigin.wd5.myworkdayjobs.com/BlueOrigin/job/Greater-Seattle-Area/Autonomous-Vehicle-AI-Engineer---Computer-Vision-and-Path-Planning_R62257", "externalId" : "R62257", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "city" : "Boyds", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Boyds, Maryland, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Machine Learning, Robotics, Computer Vision, Path Planning, Deep Learning, Object Detection, Classification, Semantic Segmentation, Anomaly Detection, Neural Networks, Sensor Fusion, Python, C++, PyTorch, TensorFlow, Reinforcement Learning (RL), Guidance, Navigation, and Control (GNC), Transformers, Large Machine Learning Models", "professionalSkills" : [ "Autonomous driving scenarios", "Real-time performance", "Edge deployment", "Cloud deployment", "Distributed computing" ], "hardSkillsList" : [ "Developing AI-driven computer vision algorithms", "Developing, training, and testing machine learning models", "Implementing and testing path planning algorithms", "Training, validating, and deploying neural networks", "Designing, building, and using high-fidelity simulation environments", "Analyzing data from simulations and flight tests", "Optimizing AI models for edge and cloud deployment", "Model compression", "Reinforcement learning agent design", "Deploying and debugging software on embedded systems or robotic hardware" ], "softSkillsList" : [ "Collaboration", "Passion", "Problem-solving", "Creative approach", "First-principles approach" ], "hardSkills" : [ { "name" : "Developing AI-driven computer vision algorithms", "level" : "intermediate" }, { "name" : "Developing, training, and testing machine learning models", "level" : "intermediate" }, { "name" : "Implementing and testing path planning algorithms", "level" : "intermediate" }, { "name" : "Training, validating, and deploying neural networks", "level" : "intermediate" }, { "name" : "Designing, building, and using high-fidelity simulation environments", "level" : "intermediate" }, { "name" : "Analyzing data from simulations and flight tests", "level" : "intermediate" }, { "name" : "Optimizing AI models for edge and cloud deployment", "level" : "intermediate" }, { "name" : "Model compression", "level" : "intermediate" }, { "name" : "Reinforcement learning agent design", "level" : "intermediate" }, { "name" : "Deploying and debugging software on embedded systems or robotic hardware", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Collaboration" }, { "name" : "Passion" }, { "name" : "Problem-solving" }, { "name" : "Creative approach" }, { "name" : "First-principles approach" } ], "majorSkills" : "Computer Vision, Path Planning, AI, Machine Learning, Deep Learning, Robotics", "majorSkillsList" : [ "Computer Vision", "Path Planning", "AI", "Machine Learning", "Deep Learning", "Robotics" ], "coreResponsibilities" : "Contribute to the development of AI-driven computer vision algorithms, Develop, train, and test machine learning models for object detection, classification, semantic segmentation, and anomaly detection, Implement and test path planning algorithms, Train, validate, and deploy neural networks for real-time performance on flight-qualified hardware, Design, build, and use high-fidelity simulation environments, Analyze data from simulations and flight tests, Support the continuous improvement of in-house machine learning pipelines and tools, Optimize AI models for edge and cloud deployment", "teamCollaboration" : "Collaborate with a multidisciplinary team of GNC, software, and hardware engineers; Work collaboratively in a fast-paced, cross-functional team environment", "domainKnowledge" : "Autonomous driving scenarios; Spaceflight; Robotics; Classical Guidance, Navigation, and Control (GNC) concepts", "domainList" : [ "autonomous-driving-scenarios", "spaceflight", "robotics", "classical-guidance", "navigation", "and-control-gnc-concepts" ], "domainSpecificKnowledge" : [ "Autonomous driving scenarios", "Spaceflight", "Robotics", "Classical Guidance, Navigation, and Control (GNC) concepts" ], "toolProficiency" : [ "PyTorch", "TensorFlow", "Gazebo", "NVIDIA Isaac Sim" ], "continuousLearning" : "Continuous improvement of in-house machine learning pipelines and tools", "innovationCreativity" : "Fosters innovation; Drives engineering workflows of the future; Creative and first-principles approach", "problemSolvingSkills" : "Solve some of the most challenging problems in spaceflight; Excellent analytical and problem-solving skills", "specialRequirements" : "U. S. citizen or national, U. S. permanent resident (i. e. current Green Card holder), or lawfully admitted into the U. S. as a refugee or granted asylum, Blue’s Standard Background Check, Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation, Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training, Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical", "outcomesObjectives" : "Accurately perceive and understand a vehicle's environment; Ensure safe and efficient navigation; Achieve real-time performance on flight-qualified hardware, optimizing for accuracy, speed, and reliability; Integrate AI/ML solutions into the vehicle's avionics and flight software systems; Test and validate autonomous algorithms against a wide range of mission scenarios and off-nominal conditions; Assess and improve the performance of perception and decision-making systems; Improve the performance of AI models for edge and cloud deployment, addressing challenges such as latency, model compression, and distributed computing", "qualificationsBasic" : "PhD in Computer Science, Robotics, AI, Machine Learning, Aerospace Engineering, or a related field, Alternatively, a Master’s degree in a related field with demonstrated project, research, professional, or internship experience in autonomous systems, Demonstrated experience applying deep learning to computer vision or decision-making, Theoretical understanding of sensor fusion, environmental perception, and path planning algorithms, High proficiency in Python and/or C++, Experience using deep learning libraries such as PyTorch or TensorFlow, A passion for space exploration and a desire to apply your skills to solve complex, real-world challenges, Ability to work collaboratively in a fast-paced, cross-functional team environment, Excellent analytical and problem-solving skills, with a creative and first-principles approach", "qualificationsPreferred" : "Experience designing, implementing, and training reinforcement learning (RL) agents to solve complex optimization or control problems, including problem formulation, state/action space design, and reward shaping, Experience with simulation environments (e. g. , Gazebo, NVIDIA Isaac Sim) and their application to robotics or aerospace, Familiarity with classical Guidance, Navigation, and Control (GNC) concepts, Experience with transformers and large machine learning models, Hands-on experience with deploying and debugging software on embedded systems or robotic hardware", "remoteFriendly" : false, "workSiteFlexibility" : "No", "rawDescription" : "Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of Advanced Concepts and Enterprise Engineering (ACE), supporting Blue Origin’s mission of millions of people living and working in space for the benefit of Earth. The team fosters innovation and drives engineering workflows of the future, shared solutions and standards, simplicity and lower costs, and manufacturable design. This position is for a passionate and driven engineer who wants to apply their skills in AI, machine learning, and robotics to solve some of the most challenging problems in spaceflight. You will be part of a dynamic team responsible for creating systems that allow our vehicles to perceive their environment, make intelligent decisions, and execute complex maneuvers with precision and safety. **Key Responsibilities:** * Contribute to the development of AI-driven computer vision algorithms to accurately perceive and understand a vehicle's environment using data from cameras, LiDAR, and other sensors. * Develop, train, and test machine learning models for object detection, classification, semantic segmentation, and anomaly detection specific to autonomous driving scenarios. * Implement and test path planning algorithms using modern decision-making techniques to ensure safe and efficient navigation. * Train, validate, and deploy neural networks for real-time performance on flight-qualified hardware, optimizing for accuracy, speed, and reliability. * Collaborate with a multidisciplinary team of GNC, software, and hardware engineers to integrate AI/ML solutions into the vehicle's avionics and flight software systems. * Design, build, and use high-fidelity simulation environments to test and validate autonomous algorithms against a wide range of mission scenarios and off-nominal conditions. * Analyze data from simulations and flight tests to assess and improve the performance of perception and decision-making systems. * Support the continuous improvement of in-house machine learning pipelines and tools for data management, model training, and performance monitoring. * Optimize AI models for edge and cloud deployment, addressing challenges such as latency, model compression, and distributed computing. **Minimum Qualifications:** * PhD in Computer Science, Robotics, AI, Machine Learning, Aerospace Engineering, or a related field. * Alternatively, a Master’s degree in a related field with demonstrated project, research, professional, or internship experience in autonomous systems. * Demonstrated experience applying deep learning to computer vision or decision-making. * Strong theoretical understanding of sensor fusion, environmental perception, and path planning algorithms. * High proficiency in Python and/or C++, along with experience using deep learning libraries such as PyTorch or TensorFlow. * A passion for space exploration and a desire to apply your skills to solve complex, real-world challenges. * Ability to work collaboratively in a fast-paced, cross-functional team environment. * Excellent analytical and problem-solving skills, with a creative and first-principles approach. **Desired:** * Experience designing, implementing, and training reinforcement learning (RL) agents to solve complex optimization or control problems, including problem formulation, state/action space design, and reward shaping. * Experience with simulation environments (e.g., Gazebo, NVIDIA Isaac Sim) and their application to robotics or aerospace. * Familiarity with classical Guidance, Navigation, and Control (GNC) concepts. * Experience with transformers and large machine learning models. * Hands-on experience with deploying and debugging software on embedded systems or robotic hardware. As an Autonomous Vehicle AI Engineer, you'll have the opportunity to make a significant impact on the future of transportation by crafting the vision systems and decision-making algorithms that define the safety and reliability of our autonomous vehicles. Your contributions will be vital in driving forward innovation in a field that promises to revolutionize global mobility. If you are passionate about AI and its potential in the autonomous vehicle industry, we encourage you to apply. ### Compensation Range for: WA applicants is $164,652.00 - $230,512.80 **Other site ranges may differ** **Culture Statement** Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. **Export Control Regulations** Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. **Background Check** * Required for all positions: Blue’s Standard Background Check * Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation * Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. * Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical **Benefits** * Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. * Stock Options for all regular employees (working at least 20 hours/week) * Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. * Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details. **Equal Employment Opportunity** Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “Know Your Rights,” please see [here](https://www.eeoc.gov/poster). **Affirmative Action and Disability Accommodation** Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at [EEOCompliance@blueorigin.com](mailto:EEOCompliance@blueorigin.com). Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.", "summaryDescription" : "Autonomous Vehicle AI Engineer III - Computer Vision and Path Planning at Blue Origin. Skills: Computer Vision, Path Planning, AI, Machine Learning, Deep Learning, Robotics. Contribute to the development of AI-driven computer vision algorithms. Develop, train, and test machine learning models for object detection, classification, semantic segmentation, and anomaly detection", "postedDate" : "2026-05-02T03:51:01.416", "createdAt" : "2026-05-18T03:51:01.338", "lastUpdated" : "2026-05-18T06:08:50.689", "ingestTimestamp" : "2026-05-18T03:51:01.338", "mongoId" : "6a0a5d861663d49372c88d54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://blueorigin.wd5.myworkdayjobs.com/BlueOrigin/job/Greater-Seattle-Area/Autonomous-Vehicle-AI-Engineer---Computer-Vision-and-Path-Planning_R62257", "salaryAnnualMin" : 164652, "salaryAnnualMax" : 230512, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Developing AI-driven computer vision algorithms", "Developing, training, and testing machine learning models", "Implementing and testing path planning algorithms", "Training, validating, and deploying neural networks", "Designing, building, and using high-fidelity simulation environments", "Analyzing data from simulations and flight tests", "Optimizing AI models for edge and cloud deployment", "Model compression", "Reinforcement learning agent design", "Deploying and debugging software on embedded systems or robotic hardware", "Collaboration", "Passion", "Problem-solving", "Creative approach", "First-principles approach", "Computer Vision", "Path Planning", "AI", "Machine Learning", "Deep Learning", "Robotics", "Autonomous driving scenarios", "Real-time performance", "Edge deployment", "Cloud deployment", "Distributed computing", "Spaceflight", "Classical Guidance, Navigation, and Control (GNC) concepts", "PyTorch", "TensorFlow", "Gazebo", "NVIDIA Isaac Sim" ], "skillCount" : 32, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 16, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Spaceflight" }, { "id" : "6a306097f292fd229cf91378", "title" : "Computer Operator", "company" : "CompTech Computer Technologies", "salary" : { "min" : 50000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Onsite USA", "locations" : [ "Onsite USA" ], "timestamp" : "2026-06-16T08:27:52.718", "fingerprint" : "d95ed32fa97cacb25ed65bd56274c5b6ba6cde3b69e6f41bbb724a80a10e96a1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/comptechcomputertechnologies/jobs/5263282008", "externalId" : "5263282008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Richmond", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5385087,-77.4342800" } ], "locationText" : "Richmond, Virginia, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "rawDescription" : "WELCOME TO COMPTECH Good people. Dedicated People. Hard-working people. CompTech is a service-oriented program management and technical company working to build lasting relationships with small and large companies, municipalities, and Government agencies. Headquartered in Dayton, OH, our clients nationwide are provided with services in client-focused practice areas resulting in solutions to organizational challenges. Job Description Job Title: Computer Operator Location: Richmond, VA (on-site) Supporting: The Defense Logistics Agency (DLA) **Secret Security Clearance** Overview CompTech is seeking a qualified Computer Operator to support the Defense Logistics Agency (DLA). The ideal candidate will assist in the technical operation and testing of fully integrated computer-based systems in a supervised environment. This position requires local travel using personal vehicle, company van, cart or other motorized vehicle. Scope of Work Key responsibilities include: Ultimate accountability for ensuring customer satisfaction at every level. Cultivate collaborative relationships with peers and leadership in a team focused environment, always communicating effectively and displaying diplomacy. Proven ability to effectively manage and prioritize a diverse workload of assigned service tickets. Flexible, with the ability to seamlessly transition from daily operations to project actions, and vice-versa. Demonstrated ability to quickly adapt to new policies and evolving technologies within this dynamic technical environment. Adept at interpreting and adhering to guidance and Standard Operating Procedures (SOPs) provided by contract and government leadership. Proficiency in operating a diverse range of system components, including hardware, software, and mass storage technology. Capability, under supervision, to operate communications-computer systems, as well as install, implement, maintain, and optimize operating systems, disk and tape management systems, and computer operations automation software. Anticipates problems, identifies deviations and acts through resolution. Perform other duties as required. Knowledge, Skills, and Certification Requirements: Excellent interpersonal and communication skills One (1) year of Help Desk or Deskside Support experience DLA CE Cert IA Role/Function: Help Desk Tier II & III - may be obtained upon hire Security+ CE Security Clearance Requirements: Secret Salary: $50k plus full benefits, PTO, 401k+ Equal Employment Opportunity CompTech is committed to building a diverse and inclusive environment in which we recognize and value each other’s differences as well as fostering a culture that promotes its core values: Commitment, Innovation, and Customer Satisfaction. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, or status as a protected veteran. If you require assistance or an accommodation due to a disability, please call Human Resources at (937) 228-2667 or email stefanie.wallace@comptech.com. A CompTech associate will respond to your message as soon as reasonably possible.", "summaryDescription" : "Computer Operator at CompTech Computer Technologies", "postedDate" : "2026-06-15T23:25:44.995", "createdAt" : "2026-06-15T23:25:44.995", "lastUpdated" : "2026-06-16T08:27:52.718", "ingestTimestamp" : "2026-06-15T23:25:44.995", "mongoId" : "6a306097f292fd229cf91378", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafac74d8ee00a09d7827", "title" : "ML/AI Engineer - Vehicle Intelligence", "company" : "42dot", "industry" : "No Department", "salary" : { "min" : 189000.0, "max" : 261000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, United States", "locations" : [ "Sunnyvale, United States" ], "timestamp" : "2026-06-15T09:49:29.499", "fingerprint" : "c9c8953d1adad8a7532e4c6f7f5bab7acff3fb27f8a6369e566bd6c0ce940bf1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/42dot/c4a01530-4d2d-49d0-88de-68c337e585b8/application", "externalId" : "c4a01530-4d2d-49d0-88de-68c337e585b8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, PyTorch, TensorFlow, JAX, Reinforcement learning, Multimodal AI, Foundation models, Large language models, Personalization, Time-series forecasting, Planning, Simulation-based learning, On-device inference", "professionalSkills" : [ "System design", "Data-driven decision-making" ], "hardSkillsList" : [ "Statistical learning", "Data-driven modeling" ], "hardSkills" : [ { "name" : "Statistical learning", "level" : "intermediate" }, { "name" : "Data-driven modeling", "level" : "intermediate" } ], "majorSkills" : "Machine learning, AI, Reinforcement learning, Vehicle intelligence", "majorSkillsList" : [ "Machine learning", "AI", "Reinforcement learning", "Vehicle intelligence" ], "coreResponsibilities" : "Develop AI-powered features, Apply RL, planning, optimization, Build models using data, Create personalization models, Use simulation for training, Collaborate with teams, Integrate ML models, Work cross-functionally", "teamCollaboration" : "Cross-functional teams; Autonomous driving teams; VLA teams", "domainKnowledge" : "Vehicle telemetry; User behavior; Navigation; Energy usage; Thermal systems; Cabin comfort; Charging; Simulation; Fleet data; Autonomous driving; Mobility platforms; Automotive software; Energy management; Intelligent transportation", "domainList" : [ "vehicle-telemetry", "user-behavior", "navigation", "energy-usage", "thermal-systems", "cabin-comfort", "charging", "simulation", "fleet-data", "autonomous-driving", "mobility-platforms", "automotive-software", "energy-management", "intelligent-transportation" ], "domainSpecificKnowledge" : [ "Vehicle telemetry", "User behavior", "Navigation", "Energy usage", "Thermal systems", "Cabin comfort", "Charging", "Simulation", "Fleet data", "Autonomous driving", "Mobility platforms", "Automotive software", "Energy management", "Intelligent transportation" ], "innovationCreativity" : "R&D projects", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "Bachelor's, Master's, or Ph. D, 3+ years experience, Experience with ML frameworks, Experience building models, Solid understanding of RL", "qualificationsPreferred" : "Experience applying RL, Familiarity with vehicle systems, Experience with multimodal AI, Knowledge of deploying ML models, Experience collaborating cross-functionally", "rawDescription" : "WE ARE LOOKING FOR THE BEST ABOUT US 42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles. We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system. ABOUT THE ROLE We are building next-generation vehicle intelligence at 42dot, enabling vehicles to understand user intent, trip context, vehicle state, environmental conditions, and system constraints, then coordinate vehicle behavior to deliver personalized, proactive, transparent, and trustworthy experiences. As an ML / AI Engineer, you will design and develop AI-driven vehicle intelligence features that help users drive farther, feel more confident, reduce cognitive load, and experience vehicles that adapt to their needs. You will work across vehicle telemetry, user behavior, navigation, energy usage, thermal systems, cabin comfort, charging, simulation, and fleet data to build intelligent systems that can predict, recommend, plan, and optimize vehicle behavior. This role is focused on applying modern AI and machine learning technologies, including reinforcement learning, multimodal AI, foundation models, large language models, personalization, time-series forecasting, planning, simulation-based learning, and on-device inference. Reinforcement learning will be an important intelligence algorithm for developing adaptive vehicle behaviors, optimizing system-level decisions, and improving vehicle experiences through simulation, fleet feedback, and real-world operating data. You will also collaborate closely with autonomous driving and VLA engineers to connect, integrate, and combine vehicle intelligence with driving intelligence. This role is not focused on developing core VLA models, but it will help define how user intent, trip goals, vehicle constraints, energy targets, comfort preferences, and system-level recommendations are shared with VLA and autonomous driving systems. Responsibilities - Develop AI-powered vehicle intelligence features that understand user intent, trip goals, vehicle state, and system constraints. - Apply reinforcement learning, planning, optimization, and data-driven modeling to improve vehicle-level decisions across energy, comfort, charging, routing, and proactive vehicle preparation. - Build models using vehicle telemetry, navigation data, user behavior, weather, traffic, cabin conditions, charging patterns, and fleet data. - Create personalization models that learn user routines, comfort preferences, driving patterns, charging habits, and trip priorities while preserving privacy and user control. - Use simulation, digital twins, and scenario-based testing to train, evaluate, and validate AI behavior before production deployment. - Collaborate with autonomous driving and VLA teams to define interfaces for sharing user intent, route objectives, vehicle constraints, energy targets, comfort preferences, and system-level recommendations. - Integrate ML models into production vehicle and cloud platforms, considering latency, compute efficiency, reliability, safety, explainability, and over-the-air update readiness. Work cross-functionally with Product, UX, Systems Engineering and Controls. Qualifications - Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Electrical Engineering, or a related technical field. - 3+ years of experience developing and deploying machine learning or AI solutions in production environments. - Strong experience with machine learning frameworks and programming languages such as Python, PyTorch, TensorFlow, JAX, or similar tools. - Experience building predictive, optimization, recommendation, forecasting, or personalization models using large-scale real-world datasets. - Solid understanding of reinforcement learning, time-series modeling, statistical learning, and data-driven decision-making systems. Preferred Qualifications - Experience applying reinforcement learning, planning, simulation-based learning, or optimization techniques to complex real-world systems. - Familiarity with vehicle systems, connected vehicles, mobility platforms, automotive software, energy management, charging systems, or intelligent transportation technologies. - Experience working with multimodal AI, foundation models, large language models (LLMs), agent-based systems, or personalized AI experiences. - Knowledge of deploying ML models to edge or embedded platforms, including considerations for latency, compute efficiency, safety, reliability, and on-device inference. - Experience collaborating with cross-functional teams including product, UX, controls, systems engineering, autonomous driving, or robotics organizations to bring AI-powered features into production. Interview Process - Application Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - Hiring - The screening procedures may vary depending on the position, schedule, or other circumstances. You will be individually notified of the screening schedule and results via the email address provided in your application. Compensation - $189,000 -$261,000/year Additional Information - In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume. - All documents must be submitted in PDF format and under 30MB in size. - If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai. - We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws. - Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA). - 42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement - 42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. ※ Please review the following information before applying. - How to work in 42dot, About 42dot Way → https://42dot.ai/careers/way", "summaryDescription" : "ML/AI Engineer - Vehicle Intelligence at 42dot. Skills: Machine learning, AI, Reinforcement learning, Vehicle intelligence. Develop AI-powered features. Apply RL, planning, optimization", "createdAt" : "2026-06-13T22:20:28.262", "lastUpdated" : "2026-06-15T09:49:29.499", "ingestTimestamp" : "2026-06-13T22:20:28.262", "mongoId" : "6a2cafac74d8ee00a09d7827", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 189000, "salaryAnnualMax" : 261000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical learning", "Data-driven modeling", "Machine learning", "AI", "Reinforcement learning", "Vehicle intelligence", "System design", "Data-driven decision-making", "Vehicle telemetry", "User behavior", "Navigation", "Energy usage", "Thermal systems", "Cabin comfort", "Charging", "Simulation", "Fleet data", "Autonomous driving", "Mobility platforms", "Automotive software", "Energy management", "Intelligent transportation" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca33b74d8ee00a09aaac4", "title" : "Autonomous Vehicle Test Driver", "industry" : "AV Testing", "salary" : { "min" : 12.0, "max" : 13.0, "currency" : "EUR", "frequency" : "per-hour-wage" }, "location" : "Madrid", "locations" : [ "Madrid" ], "timestamp" : "2026-06-16T02:09:51.685", "fingerprint" : "cb91f65a5d3a77991263bc4b00f52d709f085d5578d03d81363894cb843a43a4", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/tsmg/6a10ce4d-85ce-4775-a312-355f1c6046e4/apply", "externalId" : "6a10ce4d-85ce-4775-a312-355f1c6046e4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Spain", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Safely operate vehicles, Monitor autonomous vehicles, Take control of vehicle, Follow routes, Follow test plans, Follow shift schedules, Observe road conditions, Observe vehicle behavior, Record incidents, Provide clear reports", "domainKnowledge" : "Autonomous Vehicle; Advanced automotive systems", "domainList" : [ "autonomous-vehicle", "advanced-automotive-systems" ], "domainSpecificKnowledge" : [ "Autonomous Vehicle", "Advanced automotive systems" ], "toolProficiency" : [ "Smartphones", "In-vehicle systems", "Digital tools", "Google Workspace" ], "documentationSkills" : "Documenting observations", "continuousLearning" : "Ongoing support and training", "specialRequirements" : "Willingness to travel to United States for training, Willing to work rotating shifts, Comfortable with long periods of driving, Comfortable with long periods of focus", "qualificationsBasic" : "EU citizenship, Valid driver’s license, Clean driving record, Good command of English, Basic digital skills", "qualificationsPreferred" : "Experience in autonomous vehicle testing, Experience in advanced driver-assistance system testing, Technical understanding of vehicle systems, Experience in structured environments, Experience in process-driven environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Role Overview We are looking for experienced drivers with a background in automotive or Autonomous Vehicle (AV) projects to support vehicle testing operations in Spain. This role involves monitoring vehicle performance, following assigned routes, and documenting observations accurately. It requires precise execution of test procedures, adherence to strict safety standards, and active participation in data collection processes for advanced automotive systems. ## Key Responsibilities Safely operate and monitor autonomous vehicles Take control of the vehicle when required Follow routes, test plans, and shift schedules Observe road conditions and vehicle behavior Record incidents and provide clear reports Use smartphones, in-vehicle systems, and digital tools Maintain a safety-first and professional approach ## Requirements EU citizenship Valid driver’s license with a clean driving record Willingness and ability to travel to the United States for training (visa provided) Good command of English Willing to work rotating shifts (including evenings/weekends) Comfortable with long periods of driving and focus Basic digital skills (smartphones, Google Workspace, etc.) Strong attention to detail and safe driving habits ## Preferred Qualifications Experience in autonomous vehicle or advanced driver-assistance system testing Technical understanding of vehicle systems Experience working in structured, process-driven environments ## What We Offer Opportunity to contribute to advanced automotive projects Professional and structured working environment Paid 4-week training (travel & accommodation covered if in the U.S.) Stable, long-term opportunity Ongoing support and training", "summaryDescription" : "Autonomous Vehicle Test Driver. Safely operate vehicles. Monitor autonomous vehicles", "postedDate" : "2026-06-12T12:06:17.517", "createdAt" : "2026-06-12T12:06:17.517", "lastUpdated" : "2026-06-16T02:09:51.685", "ingestTimestamp" : "2026-06-14T21:01:45.948", "mongoId" : "6a2ca33b74d8ee00a09aaac4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Autonomous Vehicle", "Advanced automotive systems", "Smartphones", "In-vehicle systems", "Digital tools", "Google Workspace" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a1737fc58b93c861ed1db19", "title" : "Sr Computer Support Analyst", "company" : "Netrix Global", "industry" : "Cybersecurity", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Computer Support Analyst in Chicago, adjusted for the technology industry and company size." }, "location" : "Chicago, IL", "locations" : [ "Chicago", "IL" ], "timestamp" : "2026-06-15T05:01:22.695", "fingerprint" : "04cb14ebe86c27b08e421094b3f222602b118b77144cf3163fe4ccde6abb65f0", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://netrix-global.breezy.hr/p/9a12b6cbd43b-sr-computer-support-analyst", "externalId" : "9a12b6cbd43b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Support Sr Computer Support Analyst", "qualificationsBasic" : "Backend engineering experience", "remoteFriendly" : false, "rawDescription" : "About The Opportunity This Sr Computer Support Analyst position is located in Chicago, IL 60614 of the United States. Netrix Global, award-winning provider of cybersecurity and end-to-end IT services, is seeking a Sr Computer Support Analyst, with strong backend engineering experience supporting", "summaryDescription" : "Sr Computer Support Analyst at Netrix Global. Support Sr Computer Support Analyst", "createdAt" : "2026-06-14T05:21:38.878", "lastUpdated" : "2026-06-15T05:01:22.695", "ingestTimestamp" : "2026-06-14T05:21:38.878", "mongoId" : "6a1737fc58b93c861ed1db19", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa697", "title" : "Sr Director Analyst - AI and Software Engineering", "industry" : "Analyst", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director-level AI and Software Engineering role in the US technology industry, adjusted for seniority and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:05:32.334", "fingerprint" : "17bfe148d7427676d479bc47b35363f4c7b8ce12ad72aa97f7423a11d8d576ab", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/e23cc334-09a9-4253-8570-0ab055a44716/apply", "externalId" : "e23cc334-09a9-4253-8570-0ab055a44716", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 12, "experienceLevel" : "Director", "technicalSkills" : "AI, LLMs, OpenAI GPT, Anthropic Claude, Coding agents, Copilots", "professionalSkills" : [ "SDLC transformation", "AI-enabled application design", "Strategic guidance", "Software architecture", "Development practices" ], "hardSkillsList" : [ "Market trend analysis", "Data synthesis", "Strategic decision-making" ], "hardSkills" : [ { "name" : "Market trend analysis", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" }, { "name" : "Strategic decision-making", "level" : "intermediate" } ], "majorSkills" : "AI, Software Engineering, LLMs", "majorSkillsList" : [ "AI", "Software Engineering", "LLMs" ], "coreResponsibilities" : "Develop and publish research, Analyze emerging technology and market trends, Advise clients directly, Reframe complex client challenges, Recommend future-ready approaches, Create and deliver presentations, Act as a market voice, Shape thought leadership, Shape client engagement strategies, Represent research insights externally, Contribute to peer review, Contribute to research innovation, Contribute to cross-team collaboration, Mentor junior analysts, Contribute to team development", "teamCollaboration" : "Global, multicultural teams; Sales and internal research teams", "domainKnowledge" : "AI-native development; Enterprise software development; AI agents; LLMs; Coding copilots; AI architectures; Custom-built enterprise software", "domainList" : [ "ai-native-development", "enterprise-software-development", "ai-agents", "llms", "coding-copilots", "ai-architectures", "custom-built-enterprise-software" ], "domainSpecificKnowledge" : [ "AI-native development", "Enterprise software development", "AI agents", "LLMs", "Coding copilots", "AI architectures", "Custom-built enterprise software" ], "communicationSkills" : "Executive briefings; Keynote content; Storytelling skills", "documentationSkills" : "Research outputs", "continuousLearning" : "Professional development opportunities", "innovationCreativity" : "Research innovation", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Travel up to 25%", "qualificationsBasic" : "Bachelor's degree, 12+ years of relevant experience, Deep expertise in AI-driven software development, Knowledge of leading LLM ecosystems, Hands-on understanding of AI architectures, Proven ability to analyze market trends, Exceptional executive presence, Research, writing, and storytelling skills, Advanced presentation skills, Analytical ability to synthesize data, Excellent business and financial acumen, Ability to work independently, Organizational skills", "qualificationsPreferred" : "Media experience, External visibility", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Develop and publish high-impact, “must-have” research focused on AI, software engineering, and AI-native development practices for global technology leaders. Analyze emerging technology and market trends, including AI agents, LLMs, and coding copilots, to identify strategic implications for enterprise software development. Advise clients directly through executive briefings, on-site engagements, and global conferences, helping them translate insights into actionable strategies. Reframe complex client challenges by identifying root causes and recommending future-ready approaches to software architecture and development. Create and deliver high-quality presentations, keynote content, and research outputs for senior technology and business audiences. Act as a market voice in collaboration with sales and internal research teams to shape thought leadership and client engagement strategies. Represent research insights externally through media, industry events, and professional networks, strengthening credibility and influence. Contribute to peer review, research innovation, and cross-team collaboration while mentoring junior analysts and contributing to team development. Requirements: Bachelor’s degree required; 12+ years of relevant experience in software engineering, AI, or related technical leadership roles (or equivalent experience). Deep expertise in AI-driven software development, including SDLC transformation and AI-enabled application design. Strong knowledge of leading LLM ecosystems (e.g., OpenAI GPT, Anthropic Claude) and developer tools such as coding agents and copilots. Hands-on understanding of AI architectures, including agents and systems used in custom-built enterprise software. Proven ability to analyze market trends and translate them into strategic guidance for enterprise technology leaders. Exceptional executive presence with the ability to engage and influence C-level stakeholders. Strong research, writing, and storytelling skills, including the ability to create compelling visual and analytical content. Advanced presentation skills with experience delivering keynote-level content to large or executive audiences. Strong analytical ability to synthesize data from interviews, surveys, and market research into structured insights. Excellent business and financial acumen to support strategic decision-making in complex environments. Ability to work independently while collaborating effectively across global, multicultural teams. Strong organizational skills with the ability to manage high-profile deliverables under tight deadlines. Willingness to travel up to 25% as needed. Media experience and external visibility are highly desirable. Benefits: Competitive base salary ranging from $172,000 to $202,500 USD, depending on experience and qualifications. Annual performance-based bonus or uncapped incentive compensation (role dependent). Comprehensive healthcare coverage including medical, dental, vision, life, and disability insurance. Generous paid time off and hybrid working flexibility with remote-first options when appropriate. 401(k) retirement plan with employer match (up to $7,200 annually). Employee stock purchase program with discounted company stock options. Access to world-class research resources, tools, and global thought leadership platforms. Strong professional development opportunities in a highly visible, global AI leadership environment. Inclusive, collaborative workplace culture with global exposure and cross-industry engagement. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Sr Director Analyst - AI and Software Engineering. Skills: AI, Software Engineering, LLMs. Develop and publish research. Analyze emerging technology and market trends", "postedDate" : "2026-06-15T10:33:04.630", "createdAt" : "2026-06-15T10:33:04.630", "lastUpdated" : "2026-06-16T12:05:32.334", "ingestTimestamp" : "2026-06-16T03:21:43.030", "mongoId" : "6a30511af292fd229cefa697", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 240000, "salaryAnnualMax" : 360000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Market trend analysis", "Data synthesis", "Strategic decision-making", "AI", "Software Engineering", "LLMs", "SDLC transformation", "AI-enabled application design", "Strategic guidance", "Software architecture", "Development practices", "AI-native development", "Enterprise software development", "AI agents", "Coding copilots", "AI architectures", "Custom-built enterprise software" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b28f292fd229cf5a04b", "title" : "Vehicle Inspector", "company" : "ADESA", "salary" : { "min" : 34000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Vehicle Inspector in Hutchins, United States, adjusted for the automotive industry." }, "location" : "Hutchins, Texas, United States", "locations" : [ "Hutchins", "Texas", "United States" ], "timestamp" : "2026-06-16T10:50:13.756", "fingerprint" : "c886bac47e928a6a27113441a480e9e349ba606d10d7079a26346c6c9645323f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://carvana.com/careers/apply?company=adesa&&gh_jid=8008153", "externalId" : "8008153", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hutchins", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.6473628,-96.7118951" } ], "locationText" : "Hutchins, Texas, United States", "minimumEducation" : "High School", "hardSkillsList" : [ "Vehicle inspection" ], "hardSkills" : [ { "name" : "Vehicle inspection", "level" : "intermediate" } ], "majorSkills" : "Vehicle inspection", "majorSkillsList" : [ "Vehicle inspection" ], "coreResponsibilities" : "Inspect vehicles, Identify damage, Assess vehicle condition, Document inspection findings, Ensure compliance with standards, Maintain inspection records", "domainKnowledge" : "Automotive industry", "domainList" : [ "automotive-industry" ], "domainSpecificKnowledge" : [ "Automotive industry" ], "documentationSkills" : "Inspection reporting", "specialRequirements" : "Physical stamina", "qualificationsBasic" : "High School diploma or GED, Valid driver's license, Ability to pass a background check, Ability to pass a drug screening", "qualificationsPreferred" : "Previous automotive inspection experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us ADESA, a Carvana-owned company, currently operates in over 50 locations throughout the US. Our auto auctions, some up to 200 acres, provide a wide array of vehicle services including repair, reconditioning, and auction remarketing, and many of our sites serve as market hub distribution centers. Our inventory comprises hundreds of thousands of vehicles across North America from retail to commercial, OEM advise management of all complaints or incidents Ensure internal and external customers receive prompt, efficient and courteous attention Inspect vehicles for signs of wear, tear, neglect, damage, previous repair or structural damage Complete inspection of vehicles and ensure adherence to the defined program for the customer. Capture data accurately on a mobile device, work comfortably with software and technology. Deliver results in a timely manner Maintain productivity levels as set forth by management. Deliver consistent, accurate inspections with minimal rate of errors in accordance with reasonable expectations set forth by management. Collaborate with Manager and sales team members on customer needs with insights to improve services provided Maintain equipment and tools properly and advise manager of any needed equipment maintenance or breakdown Ensure vehicles are in clean condition with radios, seats, mirrors and other convenience items in the same position as when the vehicle arrived Submit completed condition reports using the appropriate technology made available to you to complete the vehicle inspection Complete road test if required by contract or inspection typeKeep current on technology updates, new releases and product development Understand the functionality and ability to use tools such as paint meters, OBD scanner etc. Develop and maintain knowledge and expertise in areas of competitor products Any other duties assigned by the designated manager Skills and Attributes Critical Thinking / Problem Solving Ability to enter data on a hand held device Team player who can collaborate well with multiple departments, customers and vendors Strong customer service skills High degree of safety focus Proven ability to multitask while maintaining attention to detail Ability to work in a fast-paced environment Excellent verbal and written communication skills Qualifications High School diploma or GED preferred 1 year automotive experience Must be 18 years of age and have a valid driver’s license that meets the requirements Able to safely drive a variety of make/model/sizes of vehicles Proficiency with computer systems and applications ADESA Values Our Next Customer May Be Your Mom: Every customer deserves the same level of care and respect one would give to their own mother. We’re All in This Together: The company is unified by the shared goal of providing fantastic customer experiences, achieved through mutual trust, respect, and understanding. There Are No Sidelines: Employees are encouraged to be proactive, work hard, and take ownership of what needs to be done in a fast-paced environment. Be Brave: Employees should not fear taking risks, pushing themselves outside their comfort zones, or being decisive, even if they stumble along the way. Zag Forward: The company empowers creative and passionate thinking to find meaningful ways to be different and deliver amazing experiences. Don’t Be a Richard: A simple guiding principle to act appropriately and professionally. Stay Scrappy: This value rejects mediocrity and \"good enough,\" pushing employees to do more with less to pass savings on to customers. ADESA Benefits and Perks Competitive Pay | Quality Benefits | Holiday and Paid Time Off | Education and Equipment Reimbursement Programs | Matching 401(k) | Career Path Opportunities | And More! Other Requirements To be able to do your job at ADESA, there are some basic requirements we want to share with you. Of course, we’ll make any reasonable accommodations for those with disabilities to perform the essential functions of their jobs. The physical activity requirements of the position range from Light to Medium Physical Work. Constant - standing, watching, touching, listening, walking, talking Frequent - bending, stooping, kneeling, lifting, grasping, pushing, pulling Potential – running, jumping, yelling or other rapid or forceful movement in emergency situations Visual acuity requirements include color, depth perception and field of vision comparable to definitions for Clerical, Administrative, Machine Operators (including inspection) positions. Physical Working Conditions This position is subject to both inside and outside environmental working conditions, including temperature changes, outside weather conditions, slightly elevated ambient noise levels, and minor atmospheric conditions affecting skin or respiratory systems, such as fumes, odors and dusts associated with internal and external service station/convenience food and petroleum dispensing operations. To be able to do your job at ADESA, you must be able to read, write, speak, and understand English. Of course, we’ll make any reasonable accommodations for those with disabilities to perform the essential functions of their jobs. Legal Stuff Hiring is contingent on passing a complete background check. This role is not eligible for visa sponsorship. ADESA is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. ADESA also prohibits harassment of applicants or employees based on any of these protected categories. Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.", "summaryDescription" : "Vehicle Inspector at ADESA. Skills: Vehicle inspection. Inspect vehicles. Identify damage", "postedDate" : "2026-06-15T23:28:39.559", "createdAt" : "2026-06-15T23:28:39.559", "lastUpdated" : "2026-06-16T10:50:13.756", "ingestTimestamp" : "2026-06-15T23:28:39.559", "mongoId" : "6a305b28f292fd229cf5a04b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 34000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Vehicle inspection", "Automotive industry" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30593bf292fd229cf45ffc", "title" : "Factory Planning and Expansion Lead", "company" : "Skydio", "industry" : "Operations", "salary" : { "min" : 215000.0, "max" : 305000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Factory Planning and Expansion Lead in Hayward, United States, adjusted for the technology industry and company size." }, "location" : "Hayward, California, United States", "locations" : [ "Hayward, California, United States" ], "timestamp" : "2026-06-16T15:08:35.224", "fingerprint" : "ae34dc0bd2f34ed9505c9a46ab32f3ef94c586bfda6164d112e3fe6fff34feb7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skydio/d5e0daff-ea01-43e4-ad9d-b43f61a0f79d/application", "externalId" : "d5e0daff-ea01-43e4-ad9d-b43f61a0f79d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hayward", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6688205,-122.0807960" } ], "locationText" : "Hayward, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "rawDescription" : "Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors https://www.skydio.com/solutions/energy-and-utilities to first responders https://www.skydio.com/solutions/public-safety, soldiers in battlefield scenarios https://www.skydio.com/solutions/national-security/tactical-isr, and beyond https://www.skydio.com/solutions. About the role: We are seeking a highly experienced Factory Planning & Expansion Lead to drive the end-to-end planning, factory layout, and support construction of new manufacturing facilities and expansions of existing sites. This role is heavily focused on factory design, layouts, and space planning requiring deep expertise in capital projects, site development, contractor management, and industrial building systems. You will lead complex, large-scale factory design from concept through commissioning, ensuring projects are delivered on time, within budget, and to operational requirements. How you'll make an impact: Factory Expansion & Construction Leadership - Support as needed all phases of factory expansion projects, including site selection support, feasibility, design coordination, construction, and commissioning - Serve as the owner’s representative for all construction activities, ensuring alignment with business and production goals - Develop and manage project scopes, schedules, budgets, and capital expenditure plans as it pertains to factory equipment and facility requirements Construction Management - Support as needed general contractors, subcontractors, architects, and engineering firms - Support construction execution, including site development, civil works, structural, MEP (mechanical, electrical, plumbing), and utilities infrastructure - Conduct regular site inspections to monitor progress, quality, and safety compliance to ensure ensure factory deliverables Design & Planning Integration - Collaborate with manufacturing, process engineering, and operations teams to translate production needs into facility requirements - Ensure factory layouts, workflows, and utilities are integrated into construction plans - Review and approve design drawings, specifications, and construction documents Project Delivery & Controls - Implement strong project governance, including risk management, cost control, and schedule tracking - Identify and mitigate construction risks, delays, and cost overruns Commissioning & Handover - Oversee commissioning of facilities, ensuring readiness for manufacturing operations - Drive punch list completion, final inspections, and occupancy approvals - Ensure smooth transition from construction to operations What makes you a strong fit: - Bachelor’s degree in Construction Management, Civil Engineering, Architecture, or related field (Master’s preferred) - 10+ years of experience in industrial construction or capital projects, with significant exposure to aerospace or high-spec manufacturing environments - Proven track record delivering large-scale manufacturing facilities, hangars, or precision production spaces - Strong expertise in construction project management, contracts, and site execution - Deep understanding of industrial building systems (MEP, utilities, clean rooms, etc. as applicable) - Experience working in fast-paced, high-growth manufacturing environments is a plus - Previous industrial experience, mechanical & infrastructure intense projects - Experience with factory automation or advanced manufacturing environments - Familiarity with lean factory design or production flow optimization - Experience with sustainability, energy systems, or green building standards (LEED, etc.) - Strong knowledge of industrial factory design, MEP systems, and site development Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $147,000 - $210,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria. *Compensation for certain positions may vary based on the position’s location. #LI-JC1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/", "summaryDescription" : "Factory Planning and Expansion Lead at Skydio", "createdAt" : "2026-06-16T00:29:40.432", "lastUpdated" : "2026-06-16T15:08:35.224", "ingestTimestamp" : "2026-06-16T00:29:40.432", "mongoId" : "6a30593bf292fd229cf45ffc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 305000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca66574d8ee00a09bb22e", "title" : "Staff Vehicle Engineer", "company" : "Inversion", "industry" : "Technology", "salary" : { "min" : 161000.0, "max" : 221000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Playa Vista, California, United States", "locations" : [ "Playa Vista", "California", "United States" ], "timestamp" : "2026-06-15T06:51:35.003", "fingerprint" : "9db4b76e94dca2dea2b4086c889c1e980ad57aaa1fd4ec9d11cb2c90ae89ae42", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/inversionspace/jobs/4705505005", "externalId" : "4705505005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Playa Vista", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9760102,-118.4181654" } ], "locationText" : "Playa Vista, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "CAD, Mechanical design", "professionalSkills" : [ "System-level trade studies", "Requirements flow-down", "Verification plans", "Validation strategies", "Architecture-level design", "Mass properties", "Volume budgets", "Performance margins" ], "hardSkillsList" : [ "Structural mechanics", "Thermal systems", "Avionics", "GNC", "Fluid systems" ], "hardSkills" : [ { "name" : "Structural mechanics", "level" : "intermediate" }, { "name" : "Thermal systems", "level" : "intermediate" }, { "name" : "Avionics", "level" : "intermediate" }, { "name" : "GNC", "level" : "intermediate" }, { "name" : "Fluid systems", "level" : "intermediate" } ], "majorSkills" : "Vehicle integration, System design, Multidisciplinary analysis", "majorSkillsList" : [ "Vehicle integration", "System design", "Multidisciplinary analysis" ], "coreResponsibilities" : "Lead cross-subsystem integration, Resolve complex, multi-disciplinary engineering bottlenecks, Own system-level trade studies, Define, manage, and enforce interface control documents, Manage hardware-to-hardware interfaces, Own vehicle-level requirements flow-down, Own verification plans, Own system-level validation strategies, Partner directly with the Chief Engineer, Drive technical reviews, Make critical architecture-level design decisions, Develop and maintain vehicle master mass properties, Develop and maintain volume budgets, Develop and maintain performance margins, Lead root-cause investigations for technical anomalies, Investigate anomalies during integration, Investigate anomalies during testing", "teamCollaboration" : "Cross-subsystem integration; Partner with Chief Engineer", "domainKnowledge" : "Aerospace engineering; Reentry vehicles; Hypersonic systems; High-speed atmospheric flight", "domainList" : [ "aerospace-engineering", "reentry-vehicles", "hypersonic-systems", "high-speed-atmospheric-flight" ], "domainSpecificKnowledge" : [ "Aerospace engineering", "Reentry vehicles", "Hypersonic systems", "High-speed atmospheric flight" ], "communicationSkills" : "Verbal communication; Written communication; Technical reviews", "documentationSkills" : "Interface control documents", "problemSolvingSkills" : "Root-cause investigations; Solve impossible problems", "specialRequirements" : "ITAR Compliance, U. S. citizen, Lawful permanent resident", "qualificationsBasic" : "Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Systems Engineering, or equivalent technical experience, 8+ years of experience in aerospace engineering, System-level vehicle design, integration, and multidisciplinary analysis, Proven track record of solving highly complex multi-system problems on launch vehicles, spacecraft, hypersonic systems, or reentry vehicles, Foundation in first-principles engineering across structural mechanics, thermal, avionics, GNC, or fluid systems, Proficiency in CAD and mechanical design for aerospace applications, Ability to operate independently and drive technical clarity in highly ambiguous environments, Excellent verbal and written communication skills", "qualificationsPreferred" : "Master's or Ph. D. in Aerospace Engineering, Mechanical Engineering, or a related field, Prior experience in hypersonics, high-speed atmospheric flight, or reentry vehicle systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Turning Space into a Transportation Layer for Earth Who We Are: Inversion builds advanced reentry systems to deliver next-generation capabilities from space. Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach. Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds. Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U. S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics. What You'll Do As a Staff Vehicle Engineer at Inversion, you will report directly to the Chief Engineer of Arc. In this role, you will tackle some of the most complex, interdisciplinary technical challenges across the entire Arc hypersonic reentry vehicle. You will be a technical anchor that ensures all subsystems converge into a high-performance, flight-ready vehicle across structures, aerothermal, GNC, avionics, and propulsion. If you thrive on solving impossible problems, building from nothing, and refusing to accept “that can’t be done” — you’ll fit right in. Key Responsibilities Lead cross-subsystem integration and resolve complex, multi-disciplinary engineering bottlenecks across the Arc vehicle. Own system-level trade studies balancing mass, power, thermal, aerodynamic, and structural performance. Define, manage, and enforce interface control documents (ICDs) and hardware-to-hardware interfaces across all vehicle subsystems. Own vehicle-level requirements flow-down, verification plans, and system-level validation strategies. Partner directly with the Chief Engineer to drive technical reviews and make critical architecture-level design decisions under uncertainty. Develop and maintain the vehicle master mass properties, volume budgets, and performance margins. Lead root-cause investigations for complex, multi-system technical anomalies during integration and testing. Required Qualifications Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, Systems Engineering, or equivalent technical experience. Typically 8+ years of experience in aerospace engineering, with a focus on system-level vehicle design, integration, and multidisciplinary analysis. Proven track record of solving highly complex multi-system problems on launch vehicles, spacecraft, hypersonic systems, or reentry vehicles. Strong foundation in first-principles engineering across structural mechanics, thermal, avionics, GNC, or fluid systems. Proficiency in CAD and mechanical design for aerospace applications. Ability to operate independently and drive technical clarity in highly ambiguous environments. Excellent verbal and written communication skills. Desired Qualifications Master's or Ph. D. in Aerospace Engineering, Mechanical Engineering, or a related field. Prior experience in hypersonics, high-speed atmospheric flight, or reentry vehicle systems. Our office headquarters is located in Playa Vista, CA. This position requires in office presence. The California annual base salary for this role is currently $161,000 - $221,000. Pay Grades are determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity. ITAR Compliance: To conform to U. S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U. S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S. C. 1324b(a)(3), or eligible to obtain the required authorizations from the U. S. Department of State. Learn more about the ITAR here. Equal Employment Opportunity: Inversion provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, veteran status, or disability. Inversion collects and processes personal data in accordance with applicable data protection laws. If you are a US Job Applicant see the CCPA Privacy Policy Notice for further details.", "summaryDescription" : "Staff Vehicle Engineer at Inversion. Skills: Vehicle integration, System design, Multidisciplinary analysis. Lead cross-subsystem integration. 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06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-15T07:49:22.001", "fingerprint" : "32b23742ae3b2dba6dae50e661a56b3fbb0b0d82fcd02201504443c75ac79af3", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57405", "externalId" : "57405", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gogama", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6736705,-81.7250895" } ], "locationText" : "Gogama, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "VHF/UHF, WIFI mesh, Microwave systems, Ethernet, Fiber-optic, Radio, Microwave, Wireless, Cisco Wi-Fi, LTE Radio", "professionalSkills" : [ "Problem-solving", "Prioritization", "Technical learning" ], "hardSkillsList" : [ "Radio communications", "Fleet Management Systems", "Electronic schematics", "Technical specifications" ], "hardSkills" : [ { "name" : "Radio communications", "level" : "intermediate" }, { "name" : "Fleet Management Systems", "level" : "intermediate" }, { "name" : "Electronic schematics", "level" : "intermediate" }, { "name" : "Technical specifications", "level" : "intermediate" } ], "majorSkills" : "Autonomous hardware, Radio systems, Mining technology, Wireless communication", "majorSkillsList" : [ "Autonomous hardware", "Radio systems", "Mining technology", "Wireless communication" ], "coreResponsibilities" : "Install wired/wireless communications, Repair wired/wireless communications, Maintain wired/wireless communications, Deploy VHF/UHF systems, Deploy WIFI mesh systems, Deploy microwave systems, Execute preventative maintenance, Inspect hardware, Identify field inefficiencies, Apply Command for Haulage expertise, Improve fleet throughput, Improve fleet quality, Troubleshoot technical issues, Manage mining databases, Manage fleet management software, Manage equipment logs, Ensure reporting accuracy, Partner with Mine Operators, Partner with Control teams, Coordinate shift deliverables, Resolve fleet problems, Train new team members, Manage FMS inventory, Prevent downtime", "teamCollaboration" : "Mine Operators; Control teams", "domainKnowledge" : "Autonomous haulage; Drill fleet; High Precision Machine Guidance; Mining databases; Fleet Management Systems; Autonomous Mining Systems; Microwave PTP; Microwave PTMP", "domainList" : [ "autonomous-haulage", "drill-fleet", "high-precision-machine-guidance", "mining-databases", "fleet-management-systems", "autonomous-mining-systems", "microwave-ptp", "microwave-ptmp" ], "domainSpecificKnowledge" : [ "Autonomous haulage", "Drill fleet", "High Precision Machine Guidance", "Mining databases", "Fleet Management Systems", "Autonomous Mining Systems", "Microwave PTP", "Microwave PTMP" ], "toolProficiency" : [ "Command for Haulage", "Fleet Management Systems", "Cisco Wi-Fi" ], "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Rotational schedule", "qualificationsBasic" : "Grade 12 or equivalent, 5+ years electrician experience, 5+ years communications infrastructure experience", "qualificationsPreferred" : "College diploma related field, University degree related field, Fleet Management Systems experience, Autonomous Mining Systems experience, High Precision Machine Guidance experience, Cisco Wi-Fi experience, LTE Radio Systems experience, Mining experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are IAMGOLD. Innovative, Accountable Mining. IAMGOLD is a Canadian-based gold mining company with operations and development projects across North America and West Africa. With flagship operations such as the Côté Gold Mine in Ontario—one of Canada’s largest and most technologically advanced gold mines—we’re not just mining gold; we’re shaping the future of mining. We believe mining can be different. By combining innovation with a strong commitment to sustainability and accountability, we create lasting value for our people and the communities where we operate. At IAMGOLD, when we engage, empower, and support each other, we create extraordinary outcomes—delivering value for our people, partners, and stakeholders while building stronger, more resilient communities. At Côté Gold, we’re leading the way in modern mining. With an 18+ year mine life, Côté Gold will inject C$5 billion in wages into the economy and create lasting benefits for the region. Over 600 full-time jobs and strong partnerships with Mattagami and Flying Post First Nations mean you’ll be part of something bigger—building prosperity and progress for generations. Industry leaders call us “a model for modern mining and sustainability”, and you can help write the next chapter. Want to Learn More About IAMGOLD? Check out the IAMGOLD Blog Read about our Côté Gold About the role: We are actively seeking an Autonomous Hardware and Radio Technician to join the Côté Gold Mine Site. This role is responsible for the reliable operation of the hardware and radio systems that support the autonomous haulage and drill fleet. The Autonomous Hardware/Radio Technician ensures safe, effective and timely implementation, configuration and maintenance of the operational mining technology network and wireless communication systems. This role will be based on our Cote Gold Mine Site (Gogama, ON), on a rotational schedule. Responsibilities: Install, repair, and maintain wired/wireless communications for autonomous haulage and drill equipment Deploy VHF/UHF, WIFI mesh, and microwave systems to support High Precision Machine Guidance Execute preventative maintenance and inspections to ensure all hardware meets safety and performance standards Identify field inefficiencies and apply Command for Haulage expertise to improve fleet throughput and quality Troubleshoot technical issues while weighing impacts on time, cost, sustainability, and safety Manage mining databases, fleet management software, and equipment logs to ensure reporting accuracy Partner with Mine Operators and Control teams to coordinate shift deliverables and resolve fleet problems Train new team members and manage Fleet Management System (FMS) inventory to prevent downtime Key Skills & Knowledge: Grade 12 or equivalent. College diplomas or university degrees in a related field such electrical, OT, autonomous systems technology is considered an asset Relevant Experience: 5 or more years of experience as an electrician or 5 or more years of experience supporting communications infrastructure (Ethernet, fiber-optic, radio, microwave, wireless). Experience with Fleet Management Systems, Autonomous Mining Systems, High Precision Machine Guidance, Cisco Wi-Fi and LTE Radio Systems is considered an asset. Experience installing, maintaining and fault-finding radio communications equipment and Fleet Management Systems is considered an asset; Mining experience may be considered an asset but is not required. Skills & Strengths, We Value: Highly organized and possess excellent analytical and problem-solving skills with the ability to prioritize effectively in a high-pressure environment. An aptitude for learning technical material and are detail orientated. Understanding of Microwave PTP, PTMP based radio and antennae systems; and Ability to read and interpret electronic schematics and Technical Specifications. What we Offer: At IAMGOLD, we don’t just reward performance we invest in your potential. Our total rewards package is designed to support your well-being today and encourage your growth for tomorrow. Because the future of mining, and your career, starts here. • Comprehensive Health Coverage – Extended health, dental, and insurance benefits for peace of mind. • Flexible Spending Power – Health & Personal Spending Accounts to fit your evolving needs. • Support When It Matters – Employee & Family Assistance Program for life’s challenges. • Future-Ready Savings – Registered Pension Plan with company match, plus TFSA & RRSP options. • Shared Success – Employee Share Purchase Plan with company match—because we grow together. Salary Range: $89,000-122,400 The final offer is determined based on your individual skills, qualifications, and competencies and aligned with our commitment to internal equity. We recognize that not everyone will meet every requirement listed, and that’s okay. If this role excites you and you believe you have relevant experience or transferable skills, we encourage you to apply. We value potential and are committed to supporting growth and development. We’re an equal opportunity employer, committed to building a workplace where every perspective sparks progress. We welcome applications from women, Indigenous Peoples, visible minorities, persons with disabilities, and members of the 2SLGBTQIA+ community. Need accommodation during the recruitment process? Just let us know, we’ll make it happen. Mining. Redefined. We’re building a modern mining company driven by innovation, accountability, and a deep commitment to sustainability. Please note that IAMGOLD does not use AI tools within our applicant tracking system to support the screening of applications Canada", "summaryDescription" : "Autonomous Hardware and Radio Technician at IAMGOLD. Skills: Autonomous hardware, Radio systems, Mining technology, Wireless communication. Install wired/wireless communications. Repair wired/wireless communications", "createdAt" : "2026-06-14T00:42:33.594", "lastUpdated" : "2026-06-15T07:49:22.001", "ingestTimestamp" : "2026-06-14T00:42:33.594", "mongoId" : "69ce5e199bc74574cb674d4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Radio communications", "Fleet Management Systems", "Electronic schematics", "Technical specifications", "Autonomous hardware", "Radio systems", "Mining technology", "Wireless communication", "Problem-solving", "Prioritization", "Technical learning", "Autonomous haulage", "Drill fleet", "High Precision Machine Guidance", "Mining databases", "Autonomous Mining Systems", "Microwave PTP", "Microwave PTMP", "Command for Haulage", "Cisco Wi-Fi" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307d6ff292fd229c04d3a2", "title" : "Computer Science Teacher", "company" : "IOTA Community Schools", "industry" : "Primary/Secondary Education", "salary" : { "min" : 53000.0, "max" : 75250.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Memphis, TN, United States", "locations" : [ "Memphis", "TN", "United States" ], "certifications" : [ "Tennessee teaching license", "Out of state license", "Practitioner license" ], "timestamp" : "2026-06-16T10:43:56.971", "fingerprint" : "39149a9b7ffb60d17002409144cbf6b74806858b775bf33c243292c807d0c368", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/IOTACommunitySchools/3743990013626876-computer-science-teacher-", "externalId" : "3743990013626876", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Memphis", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.1460260,-90.0517786" } ], "locationText" : "Memphis, Tennessee, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "coreResponsibilities" : "Attend professional meetings, Attend educational conferences, Attend teacher training workshops, Attend staff meetings, Serve on committees, Instruct students in content area, Demonstrate content knowledge, Use audio-visual aids, Use materials to supplement presentations, Engage student learning, Work as part of interdisciplinary team, Plan curricula, Align curricula, Ensure instruction follows guidelines, Set short-term goals, Set long-term goals, Develop weekly lesson plans, Develop long range lesson plans, Submit weekly lesson plans, Submit long range lesson plans, Review homework, Evaluate pupil progress using data, Record pupil progress results, Issue reports to parents, Create student intervention plans, Implement student intervention plans, Maintain student management policies, Maintain student management procedures, Report to school administrators, Maintain supervision in classroom, Maintain discipline in classroom, Address student needs, Resolve student needs, Provide necessary accommodations, Provide necessary modifications, Participate in faculty meetings, Participate in professional meetings, Lead student activities, Participate in student activities, Sponsor student activities, Sponsor student organizations, Coach a sports team, Work with parents, Work with community, Provide morning supervision, Provide after school supervision, Chaperon student activities, Abide by state mandates, Abide by federal mandates, Report sexual abuse, Report physical abuse, Report neglect, Perform other duties as assigned", "teamCollaboration" : "Interdisciplinary team; Work with teachers; Work with administrators", "domainKnowledge" : "Computer Science; CTE", "domainList" : [ "computer-science", "cte" ], "domainSpecificKnowledge" : [ "Computer Science", "CTE" ], "documentationSkills" : "Lesson plans; Grades; Reports", "continuousLearning" : "Professional development; Teacher training workshops; Educational conferences", "problemSolvingSkills" : "Student intervention plans", "qualificationsBasic" : "Bachelor's degree required, Valid Tennessee teaching license, Valid out of state license, On track for Tennessee certification, Practitioner license enrollment, Belief in the IOTA mission, Ability to meet deadlines", "qualificationsPreferred" : "Graduate coursework completion", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "IOTA Community Schools is a network of four public charter schools in Memphis, Tennessee. We operate both \"fresh start\" schools and \"zoned-enrollment\" turnaround schools. From 6th through 12th grades, our schools serve predominantly minority and low-income populations likely to be first-generation college attendees. IOTA Community Schools seeks a High School Computer Science (CTE) teacher in the Memphis area for the upcoming school year. We truly believe that every student, whatever their circumstances, holds the innate potential to achieve their goals and succeed. Our staff is committed to continuing their own learning and refining their practice to stay current in the field ensuring a quality education for all. IOTA offers specialized professional development, bi-weekly observations, and opportunities to grow and develop to enable strong teaching and learning in every classroom. We are looking for teachers that are passionate about ensuring that all students have access to a high-quality education regardless of their zip code or socio-economic status. Position Responsibilities: * Attend professional meetings, educational conferences, and teacher training workshops to maintain and improve professional competence. Attend staff meetings, and serve on committees as required. The approximate school day for staff runs from 7:30 a.m. to 3:30-4:30 p.m. * Effectively instruct students in assigned content area(s) as prescribed by IOTA's academic content standards through direct instruction, demonstrating, and using audio-visual aids and other materials to supplement presentations with the overall goal of engaging student learning. * Work as part of an interdisciplinary team and within content areas planning and aligning curricula to ensure that instruction follows curriculum guidelines or requirements of state and school. * Set clear short-term and long-term goals to drive instruction. * Develop and submit weekly and long range lesson plans containing standards, objectives, essential questions, assessments and lesson plans; assign lessons and review homework. * Consistently use data to evaluate pupil progress, record results, and issue meaningful reports to inform parents of progress. * Create and implement student intervention plans when necessary for students. * Maintain the school's student management policies and procedures (i.e. attendance records, dress code, etc.) and report to the school administrators when necessary. * Maintain effective supervision and discipline in the classroom. * Work with other teachers and administrators to address and resolve student needs. * Provide necessary accommodations and modifications for growth and success of all students. * Participate in faculty and professional meetings, educational conferences, and teacher training workshops. * Lead and participate in student activities such as: sponsoring student activities or student organizations, coaching a sports team, working with parents and the community as part of a committee or group, provide morning or after school supervision, and chaperoning student activities. * Abide by all state and federal mandates in reporting sexual or physical abuse and neglect. * Other duties as assigned. ## Qualifications * Bachelor’s degree required * Candidates must have either (a) valid Tennessee teaching license with the appropriate content endorsement to teach or (b) a valid out of state license that can successfully be transferred to Tennessee within 90 days of employment, or (c) demonstrate you are on track to complete the necessary steps towards certification in Tennessee. If you do not hold a teaching license, you may qualify for a Practitioner license while you complete graduate coursework, but you must enroll in an EPP program. Please review here: https://www.tn.gov/education/licensing/educator-preparation/educator-preparation-programs-providers.html * Belief in the IOTA mission * Ability to meet deadlines related to lesson plan submission, grades, and other requirements * Humility, sense of humor, and rock-solid commitment to IOTA’s mission and the communities we serve ## Additional Information Our teacher salary is based on years of certified experience and ranges from $53,000-$75,250. We also offer comprehensive benefits plan as well as the opportunity to impact a growing, mission-driven organization that is committed to the success of all students. This employer strives for a balanced, productive workforce, which is diverse in terms of age, gender, and cultural identity. We do not base hiring or promotional decisions on factors other than performance and professional growth potential. Please note that we are unable to sponsor H1 VISA applicants.", "summaryDescription" : "Computer Science Teacher at IOTA Community Schools. Attend professional meetings. 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Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Ads AI Team Overview: Assets, Formats & Placements (AFP) The AFP team defines how ad creatives are packaged and delivered across LinkedIn — evolving Assets (media, metadata, creative components), standardized Formats (single image, video, carousel, document, conversation), and Placements (feed, messaging surfaces, network apps, emerging surfaces). We partner closely with Ads AI, Measurement, and Serving to provide the schema, APIs, and delivery runtime that enable creative portability, policy compliance, and cross-surface quality — so advertisers can launch once and scale everywhere with predictable outcomes. Role We’re seeking a Senior AI Engineer to shape the next generation of AI-powered advertising. You will design, build, and productionize ML systems powering LinkedIn’s ad platform — working end-to-end from problem formulation and data exploration to model training, evaluation, and deployment. You’ll tackle challenges at the intersection of generative AI, LLMs, and large-scale ad systems alongside PMs, data scientists, and platform engineers. What You’ll Do * Develop models: Design, train, and iterate on ML/AI models (incl. LLMs and deep learning) to improve creative generation, relevance, and performance. * Own the lifecycle: Drive solutions from data/feature engineering through offline/online evaluation and production deployment. * Advance generative AI: Apply text/image/video generation to create compelling ad-creative variations that improve advertiser ROI. * Design systems: Architect scalable, reliable ML pipelines and services that operate at LinkedIn scale. * Run experiments: Design and analyze A/B tests to measure impact on key business metrics. * Collaborate cross-functionally: Align on problems and deliver results with PM, Design, DS, and Backend partners. * Raise the bar: Write clean, well-tested code, lead reviews, and contribute to engineering best practices. * Mentor: Support growth of junior engineers; foster a learning culture. Job Description This role will be based in Sunnyvale, San Francisco, Bellevue or New York City. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. Responsibilities * Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation solutions * Write production quality code and influence the next generation of LinkedIn's system * Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn newsfeed * Build scalable AI innovations with foundation and infra partners ## Qualifications Basic Qualifications * BA/BS Degree in Computer Science, Machine Learning or related technical discipline, or related practical experience. * 2+ years experience in software design, development, and algorithm related solutions. * 2+ years experience in programming languages such as Java, Python, etc. * 2+ years experience with machine learning, data mining, and information retrieval or natural language processing Preferred Qualifications * 4+ years of relevant machine learning experience * MS or PhD in Computer Science or related technical discipline * Working knowledge in one or more of the following: machine learning, data mining, information retrieval, security data science, advanced statistics or natural language processing. * Experience with iterative, test-driven development. * Experience with configuration management (SVN, GIT, ant, maven, etc.). * Experience with developing and designing consumer-facing products. * Experience with Hadoop, Pig, or other MapReduce paradigms. * Knowledge of internals Lucene/SOLR or other information retrieval systems. * Published work in academic conferences or industry circles. Suggested Skills * Experience in Machine Learning and Deep Learning * Experience in Big Data * Strong technical background & Strategic thinking * Experience in GAI and/or LLMs You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 - $229,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. ## Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.", "summaryDescription" : "NYC Sr. AI Engineer: Assets, Formats & Placements at LinkedIn. Skills: AI/ML, Large Language Models, Deep Learning. Design and implement AI/ML models. 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Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Ads AI Team Overview: Assets, Formats & Placements (AFP) The AFP team defines how ad creatives are packaged and delivered across LinkedIn — evolving Assets (media, metadata, creative components), standardized Formats (single image, video, carousel, document, conversation), and Placements (feed, messaging surfaces, network apps, emerging surfaces). We partner closely with Ads AI, Measurement, and Serving to provide the schema, APIs, and delivery runtime that enable creative portability, policy compliance, and cross-surface quality — so advertisers can launch once and scale everywhere with predictable outcomes. Role We’re seeking a Senior AI Engineer to shape the next generation of AI-powered advertising. You will design, build, and productionize ML systems powering LinkedIn’s ad platform — working end-to-end from problem formulation and data exploration to model training, evaluation, and deployment. You’ll tackle challenges at the intersection of generative AI, LLMs, and large-scale ad systems alongside PMs, data scientists, and platform engineers. What You’ll Do * Develop models: Design, train, and iterate on ML/AI models (incl. LLMs and deep learning) to improve creative generation, relevance, and performance. * Own the lifecycle: Drive solutions from data/feature engineering through offline/online evaluation and production deployment. * Advance generative AI: Apply text/image/video generation to create compelling ad-creative variations that improve advertiser ROI. * Design systems: Architect scalable, reliable ML pipelines and services that operate at LinkedIn scale. * Run experiments: Design and analyze A/B tests to measure impact on key business metrics. * Collaborate cross-functionally: Align on problems and deliver results with PM, Design, DS, and Backend partners. * Raise the bar: Write clean, well-tested code, lead reviews, and contribute to engineering best practices. * Mentor: Support growth of junior engineers; foster a learning culture. Job Description This role will be based in Sunnyvale, San Francisco, Bellevue or New York City. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. Responsibilities * Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation solutions * Write production quality code and influence the next generation of LinkedIn's system * Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn newsfeed * Build scalable AI innovations with foundation and infra partners ## Qualifications Basic Qualifications * BA/BS Degree in Computer Science, Machine Learning or related technical discipline, or related practical experience. * 2+ years experience in software design, development, and algorithm related solutions. * 2+ years experience in programming languages such as Java, Python, etc. * 2+ years experience with machine learning, data mining, and information retrieval or natural language processing Preferred Qualifications * 4+ years of relevant machine learning experience * MS or PhD in Computer Science or related technical discipline * Working knowledge in one or more of the following: machine learning, data mining, information retrieval, security data science, advanced statistics or natural language processing. * Experience with iterative, test-driven development. * Experience with configuration management (SVN, GIT, ant, maven, etc.). * Experience with developing and designing consumer-facing products. * Experience with Hadoop, Pig, or other MapReduce paradigms. * Knowledge of internals Lucene/SOLR or other information retrieval systems. * Published work in academic conferences or industry circles. Suggested Skills * Experience in Machine Learning and Deep Learning * Experience in Big Data * Strong technical background & Strategic thinking * Experience in GAI and/or LLMs You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 - $229,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. ## Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.", "summaryDescription" : "NYC Sr. AI Engineer: Assets, Formats & Placements at LinkedIn. Skills: AI/ML, Large Language Models, Deep Learning. Design and implement AI/ML models. 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You", "summaryDescription" : "(Senior) Machine Vision Engineer at Verity. Skills: Machine Vision, Computer Vision, Deep Learning. Develop machine vision algorithms. Implement computer vision solutions", "createdAt" : "2026-06-14T00:27:16.229", "lastUpdated" : "2026-06-15T06:43:24.084", "ingestTimestamp" : "2026-06-14T00:27:16.229", "mongoId" : "6a2cc3b374d8ee00a0a0a2e6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Algorithm development", "Software development", "Machine Vision", "Computer Vision", "Deep Learning", "System design", "Autonomous drone fleets", "Commercial warehouses", "OpenCV", "PCL" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055e3f292fd229cf22b05", "title" : "AI Engineer", "company" : "Roger", "industry" : "Engineering", "salary" : { "min" : 200000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Office", "locations" : [ "San Francisco Office" ], "timestamp" : "2026-06-16T10:39:27.762", "fingerprint" : "df944208edd362da6134370188e842610e7feb8f66d7a26904a2dbf583b9b8f9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rogerhealthcare/5c5a96ca-819b-4fe2-97c3-50e7245f8937/application", "externalId" : "5c5a96ca-819b-4fe2-97c3-50e7245f8937", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, Open source models", "professionalSkills" : [ "Software engineering", "AI/ML", "Agentic systems", "Inference infrastructure", "Model accuracy", "Clinical outcomes" ], "hardSkillsList" : [ "Model training", "Model fine-tuning", "Eval datasets", "Monitoring infrastructure", "Agentic infrastructure", "Inference infrastructure", "Scalable systems" ], "hardSkills" : [ { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model fine-tuning", "level" : "intermediate" }, { "name" : "Eval datasets", "level" : "intermediate" }, { "name" : "Monitoring infrastructure", "level" : "intermediate" }, { "name" : "Agentic infrastructure", "level" : "intermediate" }, { "name" : "Inference infrastructure", "level" : "intermediate" }, { "name" : "Scalable systems", "level" : "intermediate" } ], "majorSkills" : "AI/ML, LLM, Agentic systems", "majorSkillsList" : [ "AI/ML", "LLM", "Agentic systems" ], "coreResponsibilities" : "Train open source models, Fine-tune open source models, Build eval datasets, Build eval pipelines, Design accuracy measurement, Build inference infrastructure, Build agentic infrastructure, Partner on interfaces, Keep up with research, Bring research into production, Prototype quickly, Harden systems", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Healthcare AI; Home health; Clinical documentation; LLM in healthcare", "domainList" : [ "healthcare-ai", "home-health", "clinical-documentation", "llm-in-healthcare" ], "domainSpecificKnowledge" : [ "Healthcare AI", "Home health", "Clinical documentation", "LLM in healthcare" ], "documentationSkills" : "Clinical documentation", "continuousLearning" : "Keep up with research", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Push accuracy beyond off-the-shelf; Improve accuracy continuously; Turn outcomes into improvements", "qualificationsBasic" : "7+ years software engineering experience, Meaningful depth in AI/ML, Shipped real AI software, Experience building agentic systems, Comfort building scalable infrastructure", "qualificationsPreferred" : "Startup experience, Product mindset, Comfort across the stack, Operate in ambiguity, High standards for reliability", "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT THE ROLE Roger is an AI platform that frees home health clinicians from paperwork so they can focus on what matters: delivering life-changing care to our most vulnerable elderly patients in the comfort of their homes. Backed by leading healthcare investors like SignalFire, we've powered millions of visits, deployed to thousands of clinicians, and we're just getting started. The administrative work behind home health is messy, unstructured, and high-stakes. From clinical documentation to the operational busywork that organizations serving these vulnerable populations face every day, turning dense, nuanced information into accurate records requires LLM systems that extract structure from unstructured data, validate their own outputs, learn from a vast and growing dataset, and continuously improve in accuracy. We are now looking for an AI Engineer to build the intelligence layer at the core of Roger: training and fine-tuning models on our data, building the eval and monitoring infrastructure that keeps them accurate, and shipping LLM-powered workflows that clinicians rely on every day. There is a wide gap between a demo of an AI product and one that actually works for real clinicians caring for real patients, and we are hiring engineers who build on the right side of that gap. WHAT YOU'LL DO - Train and fine-tune open source models, leveraging our vast proprietary dataset to push accuracy beyond what off-the-shelf models can do. - Build eval datasets and pipelines that let us measure model accuracy rigorously and improve it continuously. - Design how we measure accuracy in the first place: the metrics, harnesses, and feedback loops that turn real clinical outcomes into measurable model improvements. - Build scalable, cost-efficient inference infrastructure with great monitoring and observability. - Build better agentic infrastructure and partner on the interfaces that turn model capability into a great clinician experience. - Stay at the frontier: keep up with the latest research, frontier model capabilities, and open source frameworks, and bring the best of it into production. - Prototype quickly, then harden into scalable, secure, and reliable production systems. YOU MIGHT BE A GOOD FIT IF YOU HAVE - 7+ years of professional software engineering experience, with meaningful depth in AI/ML. - Experience training, fine-tuning, or evaluating LLMs and open source models, with real opinions about what works and what does not. - Shipped real AI software to real users. You can describe something you built, what broke, and how you fixed it. - Strong instincts for evals, observability, and the feedback loops that turn user feedback into measurable improvement. - Experience building agentic systems: tool use, generator and critic loops, planners and executors, and orchestration where one agent's output drives another's work. - Comfort building infrastructure that is fast, reliable, and cost-efficient at scale. - Startup experience shipping real features in high-growth environments. - A product mindset, comfort across the stack, and the ability to operate in ambiguity without a clean spec. - High standards for reliability and accuracy when real clinicians and patients depend on your work. Why Join Us? \uD83C\uDFE5 Platinum health, dental, and vision insurance \uD83C\uDFD6️ Flexible PTO \uD83E\uDD16 Be at the forefront of LLM innovation in healthcare \uD83D\uDE80 Founded by AI Researchers from Cornell and Amazon Alexa \uD83D\uDC69‍⚕️ Make a tangible difference in the lives of clinicians and patients \uD83E\uDDE0 Work on a mission that matters, backed by AI innovation and top-tier investors Make a Real Difference: Hear from our Users \uD83D\uDC68‍⚕️ “If I had to give Roger a rating out of 10, I’d give it an 11! You guys changed my life!!” - G.M. from San Francisco, Registered Nurse \uD83D\uDC69‍⚕️ “Roger AI saves me hours per day. I can easily focus on my patients now too.” - J.L. from Tucson, Registered Nurse \uD83D\uDC69‍⚕️ “Being a single mom is tough, but with Roger I can take the time to go to my daughter’s soccer game and also pursue further education.” - T.M. from Dallas, Licensed Vocational Nurse If you're interested in joining a fast-growing healthcare AI startup, we'd love to hear from you TODAY! In person and remote opportunities available.", "summaryDescription" : "AI Engineer at Roger. Skills: AI/ML, LLM, Agentic systems. Train open source models. 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Emerging marketplaces", "domainList" : [ "e-commerce-platform", "emerging-marketplaces" ], "domainSpecificKnowledge" : [ "E-commerce platform", "Emerging marketplaces" ], "innovationCreativity" : "Develop generative AI solutions; Build innovative AI techniques", "problemSolvingSkills" : "Tackle real-world business challenges", "outcomesObjectives" : "Deliver unforgettable shopping experience", "qualificationsBasic" : "Masters in Computer Science, Experience programming Python, Experience programming Java, Experience programming C, Experience programming C++, Publications on top-tier conferences", "qualificationsPreferred" : "Experience implementing algorithms, Experience researching machine learning, Experience researching deep learning, Experience researching NLP, Experience researching computer vision, Experience researching data science, Experience applying theoretical models", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "** Join Our Innovative Computer Vision Team at Amazon, Australia ** Are you passionate about developing generative models to transform the next generation of e-commerce platform and build AI models used by millions of customers? We invite you to be part of our high-performing Computer Vision team at Amazon located in Melbourne, Australia. As a member of our international Machine Learning group, you will work closely with other senior scientists in developing generative AI solutions that leverage vast amounts of Amazon data and advanced cloud computing resources. Our mission is to create next-generation media content that delivers an unforgettable shopping experience for our customers in emerging marketplaces. We are seeking talented Computer Vision Scientists with a Masters in Computer Science or in a related field. This is an opportunity for you to build innovative AI techniques that tackle real-world business challenges. Join a team dedicated to advancing AI technology at Amazon and transforming it into impactful business solutions. #austechjobs Key job responsibilities - Build, train and evaluate generative AI models tailored to our business use cases - Communicate clearly within the team to understand and align on scope and requirements - Implement novel machine learning techniques to solve customer problems - Publish papers at Tier-1 CV/ML conferences Basic Qualifications: - Experience programming or scripting language like Python, Java, C or C++ - Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS - Masters in Computer Science, Mathematics, or a related field Preferred Qualifications: - Experience implementing algorithms using both toolkits and self-developed code - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Experience applying theoretical models in an applied environment Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Computer Vision Scientist, International Machine Learning, Australia at Amazon Support Services Pty Ltd. Skills: Computer Vision, Machine Learning, Generative AI. Build generative AI models. 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If you love working on computers and want to get out from behind a desk, come work with us! This is a Computer Field Technician Position doing hardware repairs and installations on laptop and desktop units. To be successful in this position, you must have prior experience with laptop and desktop hardware. Job Details: * This is a 1099/per call position * Pay is based solely on the number of calls completed. * Calls start at $35 and go up based on distance traveled * Pay period: Every Friday after the first week worked * Tickets are run Monday-Friday during the day shift. Candidates must be regularly available a minimum of 3 weekdays to be considered. * Call volume is variable but is usually 2-5 calls per day * You will complete certifications from Dell and Lenovo as part of your onboarding. Certifications are online and free to you. * You must have a reliable form of transportation and a valid driver's license to run these calls. You will be visiting multiple work sites throughout your day. * You must have access to a computer and the Internet to log onto your portal each day. * You must be available to log into your tech portal each morning you are working by 9 am to code your calls and map out your route for the day. * The manufacturer has completed troubleshooting and shipped a part prior to your ticket being issued to you. * You will confirm service times with the customer in your tech portal. Services will be completed at the customer site (residential and commercial) * You will pick up parts daily from the assigned Fed Ex or UPS store for your territory before going onsite. Once all calls are completed for the day drop off the old parts with the pre-paid label that is provided. ## Qualifications * Must have prior hands on experience with replacing components on laptops and desktops * Must have a valid driver’s license and reliable transportation * Must be comfortable with daily local travel ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Computer Field Technician at BC Tech Pro. Skills: Hardware repair, On-site service. Complete on-site hardware warranty services. Perform hardware repairs", "postedDate" : "2026-06-15T14:53:53.000", "createdAt" : "2026-06-16T03:36:29.806", "lastUpdated" : "2026-06-16T13:03:51.209", "ingestTimestamp" : "2026-06-16T03:36:29.806", "mongoId" : "6a30a732f292fd229c130042", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41000, "salaryAnnualMax" : 58000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Laptop hardware repair", "Desktop hardware repair", "Component replacement", "Hardware repair", "On-site service", "Dell certification", "Lenovo certification" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3069f8f292fd229cfcab70", "title" : "Computer Field Technician", "company" : "BC Tech Pro", "industry" : "Computer Hardware", "salary" : { "min" : 41000.0, "max" : 55000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level Computer Field Technician in Granbury, United States, with adjustments for the technology industry and contract employment type." }, "location" : "Minneapolis, MN, United States", "locations" : [ "Minneapolis", "MN", "United States" ], "certifications" : [ "Dell certification", "Lenovo certification" ], "timestamp" : "2026-06-16T09:55:53.288", "fingerprint" : "56a11424198ed2395a524514f9a4698168b39385318255ad47a990ec9a430576", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/BCTechPro/744000132225269-computer-field-technician", "externalId" : "744000132225269", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Granbury", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.4426759,-97.7870525" } ], "locationText" : "Granbury, Texas, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "hardSkillsList" : [ "Laptop hardware repair", "Desktop hardware repair", "Component replacement" ], "hardSkills" : [ { "name" : "Laptop hardware repair", "level" : "intermediate" }, { "name" : "Desktop hardware repair", "level" : "intermediate" }, { "name" : "Component replacement", "level" : "intermediate" } ], "majorSkills" : "Hardware repair, On-site service", "majorSkillsList" : [ "Hardware repair", "On-site service" ], "coreResponsibilities" : "Complete on-site hardware warranty services, Perform hardware repairs, Perform installations on laptop units, Perform installations on desktop units, Confirm service times with customer, Pick up parts daily, Drop off old parts", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Regular local travel, Daily local travel", "qualificationsBasic" : "Prior laptop and desktop hardware experience, Valid driver's license, Reliable transportation, Access to computer and internet, Available minimum 3 weekdays, Available to log in by 9 am", "qualificationsPreferred" : "Dell certification, Lenovo certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Based out of Granbury, Texas, BC Tech Pro partners with techs all over the country to complete on-site hardware warranty services in their territories. If you love working on computers and want to get out from behind a desk, come work with us! This is a Computer Field Technician Position doing hardware repairs and installations on laptop and desktop units. To be successful in this position, you must have prior experience with laptop and desktop hardware. Job Details: * This is a 1099/per call position * Pay is based solely on the number of calls completed. * Calls start at $35 and go up based on distance traveled * Pay period: Every Friday after the first week worked * Tickets are run Monday-Friday during the day shift. Candidates must be regularly available a minimum of 3 weekdays to be considered. * Call volume is variable but is usually 2-5 calls per day * You will complete certifications from Dell and Lenovo as part of your onboarding. Certifications are online and free to you. * You must have a reliable form of transportation and a valid driver's license to run these calls. You will be visiting multiple work sites throughout your day. * You must have access to a computer and the Internet to log onto your portal each day. * You must be available to log into your tech portal each morning you are working by 9 am to code your calls and map out your route for the day. * The manufacturer has completed troubleshooting and shipped a part prior to your ticket being issued to you. * You will confirm service times with the customer in your tech portal. Services will be completed at the customer site (residential and commercial) * You will pick up parts daily from the assigned Fed Ex or UPS store for your territory before going onsite. Once all calls are completed for the day drop off the old parts with the pre-paid label that is provided. ## Qualifications * Must have prior hands on experience with replacing components on laptops and desktops * Must have a valid driver’s license and reliable transportation * Must be comfortable with daily local travel ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Computer Field Technician at BC Tech Pro. Skills: Hardware repair, On-site service. Complete on-site hardware warranty services. Perform hardware repairs", "postedDate" : "2026-06-15T14:53:53.000", "createdAt" : "2026-06-16T00:28:58.623", "lastUpdated" : "2026-06-16T09:55:53.288", "ingestTimestamp" : "2026-06-16T00:28:58.623", "mongoId" : "6a3069f8f292fd229cfcab70", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41000, "salaryAnnualMax" : 55000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Laptop hardware repair", "Desktop hardware repair", "Component replacement", "Hardware repair", "On-site service", "Dell certification", "Lenovo certification" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305109f292fd229cef87e3", "title" : "Associate Manager - Communication Planning and Strategy", "company" : "aCommerce", "industry" : "E-Commerce", "salary" : { "min" : 900000.0, "max" : 1500000.0, "currency" : "THB", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-Commerce in Bangkok, Thailand, adjusted for Associate Manager seniority and full-time employment." }, "location" : "Bangkok, Thailand", "locations" : [ "Bangkok", "Thailand" ], "timestamp" : "2026-06-16T10:06:16.484", "fingerprint" : "10550f3bcccd1b436a3bd68fabdefa87ba2d16d83ffd77f2cef8d4cb020ce796", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/acommerce/jobs/8007364", "externalId" : "8007364", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangkok", "country" : "Thailand", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.7524938,100.4935089" } ], "locationText" : "Bangkok, Thailand", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceLevel" : "Manager", "technicalSkills" : "Microsoft Office, Google Sheets, Google Slides", "professionalSkills" : [ "Influencer marketing", "KOL engagement", "Affiliate marketing", "Content optimization" ], "hardSkillsList" : [ "Data analysis", "Performance reporting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Performance reporting", "level" : "intermediate" } ], "majorSkills" : "Influencer marketing, KOL management, Affiliate marketing, TikTok content", "majorSkillsList" : [ "Influencer marketing", "KOL management", "Affiliate marketing", "TikTok content" ], "coreResponsibilities" : "Identify KOLs, Manage KOL relationships, Coordinate KOL campaigns, Develop KOL briefs, Review KOL content, Monitor campaign performance, Manage KOL budgets, Track campaign effectiveness, Compile KOL reports, Develop affiliate strategies, Recruit affiliate partners, Manage affiliate relationships, Optimize affiliate content", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Beauty; FMCG; Skincare trends", "domainList" : [ "beauty", "fmcg", "skincare-trends" ], "domainSpecificKnowledge" : [ "Beauty", "FMCG", "Skincare trends" ], "innovationCreativity" : "Generate new ideas", "outcomesObjectives" : "Enhance brand visibility; Drive brand awareness; Drive sales; Maximize marketing impact; Align with ROI objectives", "qualificationsBasic" : "Bachelor's degree in Marketing, Minimum 2 years experience", "rawDescription" : "Job purpose The KOL and Affiliate Specialist is responsible for identifying, managing, and maintaining relationships with KOLs and affiliate partners to enhance brand visibility, engagement, and sales. This role involves executing influencer marketing and affiliate campaigns, optimizing content for TikTok, and leveraging data insights to drive performance. The specialist will collaborate with cross-functional teams to ensure brand consistency and maximize marketing impact. Job Responsibilities KOLs: Identifying and Managing KOL Relationships - Research and stay updated on trends to identify KOLs that align with the brand’s target audience and image (Beauty & FMCG).Build and maintain strong relationships with KOLs to ensure long-term collaboration. - Act as the main point of contact, managing communication and coordination throughout campaigns. Campaign Execution & Coordination - Develop and implement marketing campaigns with KOLs to drive brand awareness and sales. - Prepare detailed campaign briefs to KOLs. - Review and analyze KOL content, ensuring alignment with brand guidelines before client approval. - Monitor campaign performance and ensure smooth execution within the planned timeline. - Generate new ideas and contribute to strategic projects as assigned. Budget & Performance Management - Manage and allocate budgets effectively for KOL campaigns. - Track and evaluate campaign effectiveness, ensuring alignment with ROI objectives. Reporting & Insights - Compile reports and provide insights to optimize future KOL collaborations and campaign strategies. Affiliate Marketing: Affiliate Marketing Strategy & Management - Develop and execute affiliate marketing strategies to enhance brand visibility and sales on TikTok. - Identify and recruit TikTok influencers and content creators to join the affiliate program. - Build and maintain strong relationships with affiliate partners, providing support, guidance, and incentives to drive performance. - Collaborate with affiliates to create and optimize TikTok content that aligns with brand messaging. Key Requirements Education & Experience: - Bachelor’s degree in Marketing, Communications, or a related field. - Minimum of 2 years of experience in Influencer Marketing or KOL Management. Skills: - Strong understanding of influencer marketing, KOL engagement, and social media trends. - Creative mindset to develop engaging and compelling video content. - Excellent communication and coordination skills. - Ability to analyze data and generate performance reports. - Proficiency in Microsoft Office, Google Sheets, and Google Slides. Personal Attributes: - Creative and adaptable mindset with a flexible approach to work. - Detail-oriented and well-organized in managing multiple projects. - Passionate about skincare and beauty trends.", "summaryDescription" : "Associate Manager - Communication Planning and Strategy at aCommerce. Skills: Influencer marketing, KOL management, Affiliate marketing, TikTok content. Identify KOLs. Manage KOL relationships", "postedDate" : "2026-06-15T23:15:48.998", "createdAt" : "2026-06-15T23:15:48.998", "lastUpdated" : "2026-06-16T10:06:16.484", "ingestTimestamp" : "2026-06-15T23:15:48.998", "mongoId" : "6a305109f292fd229cef87e3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Performance reporting", "Influencer marketing", "KOL management", "Affiliate marketing", "TikTok content", "KOL engagement", "Content optimization", "Beauty", "FMCG", "Skincare trends" ], "skillCount" : 11, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306f87f292fd229cfe9c21", "title" : "Manager, Cleaning and Waste Planning & Integration", "company" : "LA28", "industry" : "Sports & Fitness", "salary" : { "min" : 88000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles, California, United States", "locations" : [ "Los Angeles", "California", "United States" ], "certifications" : [ "PMP Certification" ], "timestamp" : "2026-06-16T12:03:59.329", "fingerprint" : "5ea1c9f6db1c731dc9b01b7893f337886d02eae0542a20df0717a0ee98759d1a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/la2028/jobs/7770762003", "externalId" : "7770762003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "MS Project, Asana, Jira", "professionalSkills" : [ "Cross-functional initiatives", "Stakeholder management", "Action-tracking" ], "hardSkillsList" : [ "Planning processes", "Reporting tools" ], "hardSkills" : [ { "name" : "Planning processes", "level" : "intermediate" }, { "name" : "Reporting tools", "level" : "intermediate" } ], "majorSkills" : "Planning, Integration, Event delivery", "majorSkillsList" : [ "Planning", "Integration", "Event delivery" ], "coreResponsibilities" : "Manage cleaning planning, Manage waste planning, Manage integration, Perform other duties, Evolve operational responsibilities", "teamCollaboration" : "Cross-functional initiatives; Multiple stakeholders", "projectManagementSkills" : [ "Project management", "Program management", "Planning", "Event delivery" ], "domainKnowledge" : "Olympic Games; Paralympic Games; Major event delivery; Venue operations; Logistics; Hospitality; Transportation", "domainList" : [ "olympic-games", "paralympic-games", "major-event-delivery", "venue-operations", "logistics", "hospitality", "transportation" ], "domainSpecificKnowledge" : [ "Olympic Games", "Paralympic Games", "Major event delivery", "Venue operations", "Logistics", "Hospitality", "Transportation" ], "toolProficiency" : [ "MS Project", "Asana", "Jira" ], "communicationSkills" : "Facilitation", "specialRequirements" : "Work onsite, Office setting, Open floorplan, Work evenings, Work weekends, Work holidays, Peak event periods", "qualificationsBasic" : "5+ years project management, 5+ years program management, 5+ years planning, 5+ years consulting, 5+ years large-scale event delivery, Manage complex cross-functional initiatives, Develop schedules, Develop reporting tools, Develop planning processes, Bachelor's degree in Business/Project Management, Bachelor's degree in Operations Management, Bachelor's degree in Engineering, Bachelor's degree in Logistics, Bachelor's degree in Event Management, Bachelor's degree in a related field", "qualificationsPreferred" : "Master Degree in related field, PMP Certification, Experience leveraging AI-enabled workplace tools, Experience leveraging productivity tools, Venue operations experience, Major events experience, Logistics experience, Hospitality experience, Transportation experience, Similar operational environments experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "LA28 does not provide relocation assistance. LA28 is the independent, non-profit, privately funded organizing committee for the Los Angeles 2028 Olympic and Paralympic Games. We are on a singular mission to create an Olympic and Paralympic Games that celebrate all that this city and country have to offer, delivering an unparalleled experience for athletes, fans, partners and our community. The 2028 Games mark the return of the Summer Games to the U. S. for the first time in 32 years and Los Angeles’ third time hosting an Olympic Games and first time welcoming the Paralympic Games. This presents the unique and exciting opportunity to celebrate our legacy with the Games and push the Olympic and Paralympic Movements forward, writing a new chapter of Games history in Los Angeles. Putting on an Olympic and Paralympic Games is a team sport. To build a Games unlike any the world has seen before, we need the best team in place–a team full of diverse perspectives, experiences and expertise. We are guided by the following set of values and behaviors–optimism, integrity, excellence, inclusion, co-creation and boldness–and look forward to hearing about how your past experiences align with them. Manager, Cleaning and Waste Planning MS Project, Asana, Jira, or similar platforms). Experience leveraging AI-enabled workplace and productivity tools preferred. Exceptional organizational skills with strong attention to detail and follow-through. Strong stakeholder management, communication, facilitation, and action-tracking capabilities. Ability to manage multiple priorities and deliver results in a fast-paced, evolving environment. Experience: 5+ years in project management, program management, planning, consulting, or large-scale event delivery. Managing complex cross-functional initiatives with multiple stakeholders and competing priorities. Developing schedules, reporting tools, and planning processes. Venue operations, major events, logistics, hospitality, transportation, or similar operational environments preferred. Olympic, Paralympic or other major event experience preferred Education: Bachelors degree in Bachelor's degree in Business/Project Management, Operations Management, Engineering, Logistics, Event Management, or a related field  required Master Degree in related field preferred PMP Certification preferred Physical Requirements and Working Conditions: Available to work onsite in our Downtown Los Angeles-based office.   The majority of work will be conducted in an office setting, requiring extended periods of time using computers, phones, and other office equipment.    The LA28 office is an open floorplan working environment; employees must be able to work efficiently in an open cubicle environment.    Hours of work may vary, including evenings, weekends, and holidays, especially during peak event periods.  Perform other duties as required; the role will evolve over time and may include operational responsibilities during the Olympic and Paralympic Games. The annual base salary range for this position is $88,000.00 - $115,000.00. The pay scale provided is the range that LA28 reasonably expects to pay as starting base compensation for this role. All LA28 compensation remains subject to final determination based on individual candidate qualifications, experience, or other reasonable criteria consistent with LA28’s operational business needs and applicable law. LA28 does not provide relocation assistance. LA28 is committed to fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. LA28 will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring Ordinance and all applicable laws. We strive to build a team that is inclusive and encourage qualified candidates of all backgrounds, perspectives, and identities to apply. We assess applications based on relevant skills, education, and experience a candidate can add to our team.", "summaryDescription" : "Manager, Cleaning and Waste Planning & Integration at LA28. Skills: Planning, Integration, Event delivery. Manage cleaning planning. Manage waste planning", "postedDate" : "2026-06-16T01:15:44.424", "createdAt" : "2026-06-16T01:15:44.424", "lastUpdated" : "2026-06-16T12:03:59.329", "ingestTimestamp" : "2026-06-16T01:15:44.424", "mongoId" : "6a306f87f292fd229cfe9c21", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 88000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Planning processes", "Reporting tools", "Planning", "Integration", "Event delivery", "Cross-functional initiatives", "Stakeholder management", "Action-tracking", "Project management", "Program management", "Olympic Games", "Paralympic Games", "Major event delivery", "Venue operations", "Logistics", "Hospitality", "Transportation", "PMP Certification", "MS Project", "Asana", "Jira" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "sr autonomous vehicle ai engineer computer vision and path planning jobs", "metadata" : { "title" : "sr autonomous vehicle ai engineer computer vision and path planning" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 114890, "totalPages" : 2298, "hasNext" : true, "hasPrevious" : false } }

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