{ "count" : 41703, "data" : [ { "id" : "6a3056b8f292fd229cf2d856", "title" : "Research Intern, Model Shaping (Fall 2026)", "company" : "Together AI", "industry" : "Technology", "salary" : { "min" : 58.0, "max" : 63.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T07:26:50.070", "fingerprint" : "e4dc2fb62c643e2265bdeab4011cb0b574f16e93ad62f543515ad85b7cd99a80", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/togetherai/jobs/5157661007", "externalId" : "5157661007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Amsterdam, North Holland, Netherlands; San Francisco, California, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "rawDescription" : "About The Role As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Integrate the research results into Together products Requirements Currently pursuing a Bachelor's, Master's, or Ph. D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements Prior research experience with training foundation models or efficient machine learning Publications at leading ML and NLP conferences (such as NeurIPS, ICML, ICLR, ACL, or EMNLP) Understanding of model optimization techniques and hardware acceleration approaches Contributions to open-source machine learning projects Internship Program Details Our fall internship program spans over 12 to 16 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th and this role will be located in our San Francisco or Amsterdam office. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, SWARM Parallelism, Mixture of Agents, and RedPajama. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $63. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. 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Large scale serving; Mixture-of-Experts; Inference-time computation; KV cache design; Open and transparent AI", "domainList" : [ "foundation-models", "large-scale-serving", "mixture-of-experts", "inference-time-computation", "kv-cache-design", "open-and-transparent-ai" ], "domainSpecificKnowledge" : [ "Foundation models", "Large scale serving", "Mixture-of-Experts", "Inference-time computation", "KV cache design", "Open and transparent AI" ], "communicationSkills" : "Scientific publications; Blog posts", "documentationSkills" : "Scientific publications; Blog posts", "innovationCreativity" : "R&D projects", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Final year Bachelor's, Master's, or Ph.D, Machine Learning and Deep Learning fundamentals, Deep learning frameworks experience, Python programming skills, Transformer architectures knowledge", "qualificationsPreferred" : "Prior research experience, Publications at leading conferences, CUDA programming experience, Model optimization techniques knowledge, Hardware acceleration approaches knowledge, Open-source machine learning contributions", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities Design and conduct rigorous experiments to validate hypotheses Communicate the plans, progress, and results of projects to the broader team Document findings in scientific publications and blog posts Requirements Currently pursuing a final year of Bachelor's, Master's, or Ph. D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications Prior research experience in foundation models, efficient machine learning, or ML systems. Publications at leading conferences in machine learning or systems (i.e., MLSys, ICLR). Experience with CUDA programming (for kernel development) Understanding of model optimization techniques and hardware acceleration approaches Contributions to open-source machine learning projects Internship Program Details Our fall internship program spans over 12 to 16 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, Petals, Mixture of Agents, and RedPajama. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58-63/hr. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. 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This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.).** **To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.** **Hybrid:** This role is categorized as hybrid. This means the successful candidate is expected to report in office three times per week, at minimum [or other frequency dictated by the business]. The start date for this internship is September 7, 2026. **The Team** At GM, we craft products people crave and experiences they never forget. It all starts with research and development. We are looking for R&D Interns to craft, design, and develop groundbreaking concepts and technologies that will help shape the future of mobility. In this internship, you will plan and execute collaborative research across advanced engineering, systems optimization, autonomy, safety, manufacturing, and power electronics. Projects may include component analysis and application of AI tools, systems optimization and use of agentic systems, evaluation of multi-modal command recognition approaches for off-road autonomy, comparison of human body models for injury severity prediction, and development of next-generation electrical power devices and switching technologies. You will work with technical leaders across GM Research and Development to explore innovative approaches that combine engineering fundamentals with AI, modeling, simulation, controls, robotics, and advanced electronics. Our culture of innovation gives you the opportunity to contribute to impactful research, support development of advanced technical solutions, and help shape future vehicle, mobility, and engineering capabilities. **What You Will Do** * Conduct research and/or experiments to collect required data and validate research ideas * Apply engineering, computational, and AI-based methods to challenging research problems across multiple technical domains * Develop AI/ML models and algorithms for simulation tools and workflows supporting component analysis, structural optimization, systems optimization, autonomous vehicles, injury prediction, or power electronics research. * Analyze and compare technical approaches, methods, or system architectures and provide data-driven recommendations * Develop reproducible test protocols, validation plans, or benchmarking approaches for research activities as needed * Document and present results; depending on the assignment, work may lead to external publications and/or intellectual property * Develop and execute specific research plans, including concept generation, development, implementation, and validation * Collaborate effectively with peers, management, operations groups, and outside organizations **Required Qualifications** * U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens * Must be currently enrolled in a PhD program * Pursuing a degree in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Industrial Engineering, Systems Engineering, Biomedical Engineering, Applied Mathematics, or a closely related science/engineering field * Strong foundation in at least one of the following areas: engineering analysis, AI/ML, optimization, robotics, simulation, controls, injury biomechanics, electric machines and drives, or power electronics * Programming, modeling, or simulation experience using relevant engineering or data analysis tools * Ability to work both independently and in teams * Consistently demonstrate critical thinking and strong teamwork * Effective verbal and written communication skills * Excellent persuasion, active listening, delegation, and leadership skills to work effectively with GM internal and external customers **What Will Give You a Competitive Advantage (Preferred Qualifications)** * Prior research, internship, or project experience in CAE, structural optimization, engineering mechanics, systems engineering, autonomy, robotics, safety modeling, injury biomechanics, semiconductor devices, controls, electric machines and drives, or power electronics * Experience applying AI/ML, optimization, or agentic systems to engineering or operational problems * Familiarity with testing, validation, benchmarking, or evaluation of multi-modal perception or command recognition systems * Experience with simulation, modeling, or comparison of human body models or injury prediction methods * Background and experience in AI assisted topological optimization of electric machines * Exposure to wide bandgap semiconductors, GaN devices, switching technologies, or advanced electrical power systems * Demonstrated ability to translate technical findings into clear recommendations for technical and non-technical audiences * Outstanding interpersonal and relationship management skills to effectively collaborate with varying levels of the organization as needed * Demonstrates leadership in field of study, extra-curricular activities, or service organizations * Strong critical thinking and analytical skills, especially the ability to synthesize large amounts of data involving multiple variables into comprehensive, impactful insights * Willingness to ask questions, take initiative, and be inventive * Emerging partnership and teamwork skills and ability to learn from and share knowledge with co-workers in a rapidly moving environment * High level of integrity, ability to deal with ambiguity, and takes initiative/self-directed * Evidence of strong character with integrity, honesty, accountability, and trust **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting [**Total Rewards resources**](https://search-careers.gm.com/en/working-at-gm/total-rewards). **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit [**How we Hire**](https://search-careers.gm.com/en/how-we-hire). **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, [**email**](mailto:Careers.Accommodations@GM.com)**** us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.", "summaryDescription" : "2026 Fall Intern - Research & Development at GM", "postedDate" : "2026-06-13T19:44:08.507", "createdAt" : "2026-06-14T19:44:08.441", "lastUpdated" : "2026-06-16T06:07:41.180", "ingestTimestamp" : "2026-06-14T19:44:08.441", "mongoId" : "6a2d81bb74d8ee00a0c1175d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://generalmotors.wd5.myworkdayjobs.com/Careers_GM/job/Warren-Michigan-United-States-of-America/XMLNAME-2026-Fall-Intern---Research---Development_JR-202613027", "salaryAnnualMin" : 48000, "salaryAnnualMax" : 62000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "junior", "dataQualityScore" : 0.8888889, "_score" : 1124.1681, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c63ff74d8ee00a08fa12d", "title" : "Trade Policy Internship - 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe architecture is more than designing buildings, it’s about providing solutions to societal challenges and creating stronger, more vibrant communities. As part of our Architecture practice at HDR, you’ll contribute to the design and delivery of spaces and experiences that advance community well-being around the world. From healing environments and learning spaces to research labs and civic landmarks and infrastructure, your work will directly influence how individuals experience the world around them. We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. 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Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. Responsibilities Optimize and fine-tune GPU code to achieve better performance and scalability Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems Stay up-to-date with the latest advancements in GPU programming techniques and technologies Requirements Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. Knowledge of ML/AI applications and models Knowledge of performance profiling and optimization tools for GPU programming Excellent problem-solving and analytical skills Internship Program Details Our fall internship program spans over 12 to 16 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, Petals, Mixture of Agents, and RedPajama. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $63. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. 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The Product Strategy Intern will join our NetSuite team to support product initiatives, market research, data analysis and strategic planning activities. This role offers a unique opportunity to gain hands-on experience in software product management while working alongside experienced professionals in the supply chain technology sector. What You Bring: To be eligible for the RF-SMART Summer Internship Program, students must meet the following requirements: Enrolled in a degree program at the time of the internship Considered a Junior or Senior by credit hours Available to work 15-20 hours per week in our headquarters in Jacksonville, FL Eligible to work in the United States of America for any employer without the need for future sponsorship Strong skills in data management Why You’ll Love It Here: The RF-SMART Internship Program exists to partner with students to equip them with the skills they need to become successful professionals while they complete meaningful work at RF-SMART, while supporting our mission of transforming our customers and changing lives. Our Talent Acquisition Team will review all applications and reach out to qualified candidates with next steps. Employer does not sponsor applicants for employment visa status (e. g. H-1B visa status). General Information: The above noted job description is not intended to be an exhaustive list of all duties and responsibilities that may be assigned, but rather to give a general sense of the responsibilities and expectations of the job. As the nature of business demands change so, too, may the essential functions of this specific position and/or the skills and abilities required. RF-SMART is an Equal Employment Opportunity (EEO) employer. A Word From Our CEO - Watch Now", "summaryDescription" : "Product Strategy Intern - Fall 2026 at RF-SMART. Skills: Product strategy, Market research, Data analysis, Strategic planning. Support product initiatives. Conduct market research", "postedDate" : "2026-06-14T20:06:40.393", "createdAt" : "2026-06-14T20:06:40.393", "lastUpdated" : "2026-06-16T07:09:47.566", "ingestTimestamp" : "2026-06-14T20:06:40.393", "mongoId" : "6a2c901e74d8ee00a097f5ba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41000, "salaryAnnualMax" : 55000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data management", "Product strategy", "Market research", "Data analysis", "Strategic planning", "Supply chain technology" ], "skillCount" : 6, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 984.34296, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c962374d8ee00a098eb70", "title" : "Frontier Agents Intern (Fall 2026)", "company" : "Together AI", "industry" : "Technology", "salary" : { "min" : 58.0, "max" : 63.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T01:44:50.431", "fingerprint" : "4e9ebaa99045716a9889bb36742e0623e94f5879fb7113200bcf82b5dc63c758", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/togetherai/jobs/5157380007", "externalId" : "5157380007", "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" : "INTERNSHIP", "minimumEducation" : "Master's", "rawDescription" : "About the Role The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short. As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You'll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish. Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Communicate the plans, progress, and results of projects to the broader team Requirements Currently pursuing a Masters or Ph. D. degree in Computer Science, Electrical Engineering, Information Science, or a related field Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech) Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Understanding of how LLMs work Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Example Research Directions Training, developing, and evaluating frontier models, especially in the domain of agentic tasks and workflows Designing and curating datasets for frontier agents alignment and post-training Studying failure modes and developing safety paradigms for agentic behavior Research new recipes (for RL or test time scaling) for self-learning and long-context tasks completion Building agents that act on spoken input to carry out complex, multi-step tasks Developing ML infrastructure that can power agent operations at scale Internship Program Details Our fall internship program spans over 12 to 16 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, Petals, Mixture of Agents, and RedPajama. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 - $63 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. For more information about our privacy policy, please visit: https://www.together.ai/privacy", "summaryDescription" : "Frontier Agents Intern (Fall 2026) at Together AI", "postedDate" : "2026-06-14T20:06:43.530", "createdAt" : "2026-06-14T20:06:43.530", "lastUpdated" : "2026-06-16T01:44:50.431", "ingestTimestamp" : "2026-06-14T20:06:43.530", "mongoId" : "6a2c962374d8ee00a098eb70", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120640, "salaryAnnualMax" : 131040, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 949.908, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cdb9174d8ee00a0a50eb3", "title" : "Aerodynamics Intern (Fall 2026)", "company" : "Zipline", "salary" : { "min" : 48000.0, "max" : 64000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for entry-level Aerodynamics Intern positions in South San Francisco, with adjustments for the technology industry and company size." }, "location" : "South San Francisco, California, United States", "locations" : [ "South San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T04:30:23.376", "fingerprint" : "994ef194bf0f50fbefc75ed586ba6e5f37e55c09fbd17e2745060311f333dfc7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zipline.com/careers?gh_jid=7772198003#open-roles", "externalId" : "7772198003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6535403,-122.4168664" } ], "locationText" : "South San Francisco, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Zipline Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About the Applied Aerodynamics Team Without the Aerodynamics team, the Zipline drones would not fly! This team is responsible for the aerodynamic performance of the aircraft, from high-level aeronautical considerations down to the detailed surface design. We work on everything from the body and propellers to vehicle dynamics and aeroacoustics, and in order to ensure our product is successful we collaborate strongly with almost every other engineering team, including GNC, structures, mechanical integration, avionics, perception, systems, weather and others. The Role As an intern in the Aerodynamics Team you can expect to work on any one of our current open projects alongside our world-class aerodynamicists and aeronautical engineers, both learning from their experience and bringing your own perspective to the tasks. This is an opportunity to test the skills and knowledge you’ve learned at school in a practical and fast-paced environment, where we leverage our understanding of physics to solve real problems. You will learn to use a variety of tools - from low fidelity calculations, through CFD simulation to experimental analysis - to help drive the design of our current and future products forward. What You'll Do Vehicle design analysis including aerodynamics, propulsion, and power system performance. Low- and high-fidelity analytical modeling of vehicle subsystems and behaviors Aerodynamic database generation and building analysis of flight behaviors Experiment planning, execution and data analysis, from wind tunnels to flight tests Support multidisciplinary team including controls, mechanical, production, software, and electrical engineers to tackle design challenges and resolve time-sensitive issues What You'll Bring You will be studying one or more of the following areas: fluid mechanics, aerodynamics, flight physics, aeronautical engineering, acoustics. A strong understanding of the technical content of these courses is the most valuable asset you will bring, and will help you exercise good engineering judgment. Understanding and experience with any of the following toolsets is advantageous. If you have not used the tool before, we’ll teach you to use it where needed. Continuum- or Lattice Boltzmann-based computational fluid dynamics, such as STAR-CCM+, Fluent, OpenFOAM, or PowerFLOW Wind tunnel test identification, planning, execution, troubleshooting, and data analysis using a variety of electro-mechanical and optical diagnostic techniques Flight test planning for system identification and simulation validation, cross functional planning, test execution, and data analysis MATLAB, Python, Rust, or similar software tools CAD advanced surfacing tools, such as CATIA or NX To be maximally effective we will need you to work in our head office in South San Francisco. For certain testing programs, limited travel (within California) may be required. What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco or Dallas office. We will host our Fall 2026 interns from September to December. Candidates are limited to three (3) applications within a 30-day period. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.", "summaryDescription" : "Aerodynamics Intern (Fall 2026) at Zipline", "postedDate" : "2026-06-14T19:14:35.837", "createdAt" : "2026-06-14T19:14:35.837", "lastUpdated" : "2026-06-16T04:30:23.376", "ingestTimestamp" : "2026-06-14T19:14:35.837", "mongoId" : "6a2cdb9174d8ee00a0a50eb3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 64000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 946.98706, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3054eff292fd229cf1bfe1", "title" : "Internship AI Agents", "company" : "KPN", "industry" : "Information Technology And Services", "salary" : { "min" : 600.0, "max" : 600.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amersfoort, UT, Netherlands", "locations" : [ "Amersfoort", "UT", "Netherlands" ], "timestamp" : "2026-06-16T08:56:22.326", "fingerprint" : "52f88d4a43d7592a3e003c5ed788560d66c49d983e9e2bb040fcdd6009c3f37c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KPN/744000132228350-internship-ai-agents-", "externalId" : "744000132228350", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amersfoort", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.1637703,5.4088845" } ], "locationText" : "Amersfoort, Utrecht, Netherlands", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "internship", "technicalSkills" : "Artificial intelligence, Machine learning, AI agents, Large language models, LLMs", "professionalSkills" : [ "Problem-solving", "Analytical abilities" ], "hardSkillsList" : [ "AI frameworks", "NLP", "API development" ], "hardSkills" : [ { "name" : "AI frameworks", "level" : "intermediate" }, { "name" : "NLP", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" } ], "majorSkills" : "AI agents, Machine learning, Documentation", "majorSkillsList" : [ "AI agents", "Machine learning", "Documentation" ], "coreResponsibilities" : "Develop AI agent framework, Implement AI agent solutions, Generate documentation, Maintain documentation, Support network operations, Collaborate with senior developers, Design intelligent agent systems, Architect intelligent agent systems, Write clean code, Follow coding standards, Conduct testing, Debug AI agent applications, Ensure optimal performance, Ensure reliability, Research AI technologies, Evaluate AI methodologies, Document technical specifications, Document design decisions, Document implementation details, Contribute to team meetings, Share insights, Assist integrating AI agents, Integrate with existing systems, Integrate with APIs", "teamCollaboration" : "Multidisciplinary team; Experienced professionals; Team meetings", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Telecommunications; Networks; IT; Data", "domainList" : [ "telecommunications", "networks", "it", "data" ], "domainSpecificKnowledge" : [ "Telecommunications", "Networks", "IT", "Data" ], "toolProficiency" : [ "Git" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Documentation; Technical specifications; Design decisions; Implementation details", "continuousLearning" : "Research emerging AI technologies", "innovationCreativity" : "Innovate infrastructure; Develop cutting-edge AI agent solutions", "problemSolvingSkills" : "Problem-solving abilities; Analytical abilities", "specialRequirements" : "Travel reimbursement", "qualificationsBasic" : "Bachelor's or Master's degree, Solid AI/ML fundamentals, Speak and write English, Reside in the Netherlands", "qualificationsPreferred" : "Knowledge of AI agent architectures, Knowledge of LLMs, Experience with Git, Deliver high-quality code, Sharp focus on detail, Clear communication, Optional Dutch language skills", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "In 2025, KPN’s network was recognized as the best in the Netherlands and achieved the highest score ever recorded globally. This achievement is the result of the continuous efforts of our network teams, who work tirelessly to improve and innovate our infrastructure. To maintain this level of excellence, we are constantly seeking talented individuals who can contribute to our mission including students interested in researching the future of telecommunications, IT, AI, and other fields related to networks. Do you want to gain hands-on experience in developing cutting-edge AI agent solutions while working alongside experienced professionals in a multicultural, multidisciplinary team? Join the Automation team in the Fixed Access department of KPN Networks. As a Fixed Access intern you will contribute to the design, development, and testing of intelligent agents that leverage the latest advancements in artificial intelligence and machine learning. This role offers a dynamic environment where innovation meets practical application, allowing you to develop your technical skill set while making meaningful contributions to real-world projects. A selection of your tasks as an intern: * Develop and implement AI agent framework and solutions specific to generate and maintain up to date documentation in order to support the operations of the network. * Collaborate with senior developers to design and architect intelligent agent systems. * Write clean, well-documented code following best practices and coding standards. * Conduct testing and debugging of AI agent applications to ensure optimal performance and reliability. * Research and evaluate emerging AI technologies and methodologies relevant to agent development. * Document technical specifications, design decisions, and implementation details. * Contribute to team meetings and share insights on project progress and technical challenges. * Assist in integrating AI agents with existing systems and APIs. ## Qualifications We are looking for someone who is motivated and who has excellent analytical and problem-solving abilities. In addition, you recognize yourself in the following: * You are pursuing a Bachelor's or Master's degree in fields such as Electrical Engineering, Artificial Intelligence, Computer Science, Information Science, or similar IT/Data-related studies. * You have a solid of artificial intelligence and machine learning fundamentals. * You enjoy working collaboratively, but can also work independently and take responsibility. * You speak and write English, and optionally Dutch. * You bring knowledge of of AI agent architectures and large language models (LLMs) and have experience with version control systems (Git). * You deliver high-quality code with sharp focus on detail and clear communication. * You reside in the Netherlands. We appreciate skills in AI frameworks, NLP, API development, Agile or Scrum. If you have AI or ML projects, add your portfolio or GitHub to your CV or cover letter. ## Additional Information What can you expect from KPN? * A monthly internship allowance of €600 based on full-time participation. * Opportunities to engage in activities and collaborate with fellow interns and colleagues. * The potential for employment at KPN upon successful completion of the internship. * A hybrid working environment: 2 days in the office, 3 days remote. * A laptop for both internship and academic use. * Travel reimbursement for train or car if you do not have a student public transport card. * Collaboration within a multidisciplinary team of experienced professionals. * Access to an extensive network of experts at KPN who are eager to share their knowledge and connections. We have a strong belief in the power of technology made even more impactful through human interaction. We look forward to meeting you! For more information, please contact our recruiter Julie Kleijzen at +31 6 33 04 99 52 or via julie.kleijzen@kpn.com. Please note that applications submitted via email will not be processed. Kindly express your interest through the application button. At KPN, we believe in smart collaboration and collective success. Therefore, acquisition in response to this vacancy is not appreciated.", "summaryDescription" : "Internship AI Agents at KPN. Skills: AI agents, Machine learning, Documentation. Develop AI agent framework. Implement AI agent solutions", "postedDate" : "2026-06-15T15:04:53.000", "createdAt" : "2026-06-15T23:32:24.246", "lastUpdated" : "2026-06-16T08:56:22.326", "ingestTimestamp" : "2026-06-15T23:32:24.246", "mongoId" : "6a3054eff292fd229cf1bfe1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "AI frameworks", "NLP", "API development", "AI agents", "Machine learning", "Documentation", "Problem-solving", "Analytical abilities", "Agile", "Scrum", "Telecommunications", "Networks", "IT", "Data", "Git" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 944.3948, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3057f1f292fd229cf3f031", "title" : "Internship AI Agents", "company" : "KPN", "industry" : "Information Technology And Services", "salary" : { "min" : 600.0, "max" : 600.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amersfoort, UT, Netherlands", "locations" : [ "Amersfoort", "UT", "Netherlands" ], "timestamp" : "2026-06-16T09:10:59.342", "fingerprint" : "841c6589d0e017797e728f6cce719701a93d845eed291e4f332043811f0eb1e0", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KPN/744000132228350-internship-ai-agents-", "externalId" : "744000132228350", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amersfoort", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.1637703,5.4088845" } ], "locationText" : "Amersfoort, Utrecht, Netherlands", "employmentType" : "FULL_TIME", "experienceLevel" : "internship", "technicalSkills" : "Artificial intelligence, Machine learning, AI agent, Large language models, LLMs, Git", "professionalSkills" : [ "Analytical skills", "Problem-solving abilities" ], "hardSkillsList" : [ "AI frameworks", "NLP", "API development" ], "hardSkills" : [ { "name" : "AI frameworks", "level" : "intermediate" }, { "name" : "NLP", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" } ], "majorSkills" : "AI agent development, Machine learning, Documentation generation", "majorSkillsList" : [ "AI agent development", "Machine learning", "Documentation generation" ], "coreResponsibilities" : "Develop AI agent framework, Implement AI agent solutions, Generate documentation, Maintain documentation, Design intelligent agent systems, Write clean code, Follow coding standards, Conduct testing, Debug AI agent applications, Research emerging AI technologies, Evaluate AI methodologies, Document technical specifications, Document design decisions, Document implementation details, Contribute to team meetings, Share insights, Assist integrating AI agents, Integrate with existing systems, Integrate with APIs", "teamCollaboration" : "Multicultural team; Multidisciplinary team; Experienced professionals; Fellow interns", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Telecommunications; Network operations", "domainList" : [ "telecommunications", "network-operations" ], "domainSpecificKnowledge" : [ "Telecommunications", "Network operations" ], "toolProficiency" : [ "Git" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Technical documentation; Design documentation; Implementation documentation", "continuousLearning" : "Access to experts", "innovationCreativity" : "Researching the future; Innovate infrastructure", "problemSolvingSkills" : "Problem-solving abilities; Analytical skills", "specialRequirements" : "Laptop for internship use, Laptop for academic use", "qualificationsBasic" : "Bachelor's or Master's degree, Artificial intelligence and machine learning fundamentals, Speak and write English, Reside in the Netherlands", "qualificationsPreferred" : "Knowledge of AI agent architectures, Knowledge of large language models (LLMs), Experience with version control systems (Git), AI or ML projects portfolio, GitHub portfolio", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "In 2025, KPN’s network was recognized as the best in the Netherlands and achieved the highest score ever recorded globally. This achievement is the result of the continuous efforts of our network teams, who work tirelessly to improve and innovate our infrastructure. To maintain this level of excellence, we are constantly seeking talented individuals who can contribute to our mission including students interested in researching the future of telecommunications, IT, AI, and other fields related to networks. Do you want to gain hands-on experience in developing cutting-edge AI agent solutions while working alongside experienced professionals in a multicultural, multidisciplinary team? Join the Automation team in the Fixed Access department of KPN Networks. As a Fixed Access intern you will contribute to the design, development, and testing of intelligent agents that leverage the latest advancements in artificial intelligence and machine learning. This role offers a dynamic environment where innovation meets practical application, allowing you to develop your technical skill set while making meaningful contributions to real-world projects. A selection of your tasks as an intern: * Develop and implement AI agent framework and solutions specific to generate and maintain up to date documentation in order to support the operations of the network. * Collaborate with senior developers to design and architect intelligent agent systems. * Write clean, well-documented code following best practices and coding standards. * Conduct testing and debugging of AI agent applications to ensure optimal performance and reliability. * Research and evaluate emerging AI technologies and methodologies relevant to agent development. * Document technical specifications, design decisions, and implementation details. * Contribute to team meetings and share insights on project progress and technical challenges. * Assist in integrating AI agents with existing systems and APIs. ## Qualifications We are looking for someone who is motivated and who has excellent analytical and problem-solving abilities. In addition, you recognize yourself in the following: * You are pursuing a Bachelor's or Master's degree in fields such as Electrical Engineering, Artificial Intelligence, Computer Science, Information Science, or similar IT/Data-related studies. * You have a solid of artificial intelligence and machine learning fundamentals. * You enjoy working collaboratively, but can also work independently and take responsibility. * You speak and write English, and optionally Dutch. * You bring knowledge of of AI agent architectures and large language models (LLMs) and have experience with version control systems (Git). * You deliver high-quality code with sharp focus on detail and clear communication. * You reside in the Netherlands. We appreciate skills in AI frameworks, NLP, API development, Agile or Scrum. If you have AI or ML projects, add your portfolio or GitHub to your CV or cover letter. ## Additional Information What can you expect from KPN? * A monthly internship allowance of €600 based on full-time participation. * Opportunities to engage in activities and collaborate with fellow interns and colleagues. * The potential for employment at KPN upon successful completion of the internship. * A hybrid working environment: 2 days in the office, 3 days remote. * A laptop for both internship and academic use. * Travel reimbursement for train or car if you do not have a student public transport card. * Collaboration within a multidisciplinary team of experienced professionals. * Access to an extensive network of experts at KPN who are eager to share their knowledge and connections. We have a strong belief in the power of technology made even more impactful through human interaction. We look forward to meeting you! 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Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Key Responsibilities This intensive, short-term internship offers a unique opportunity for aspiring AI engineers to; • Collect, prepare and processing training and validation datasets. • Assist in designing and tweaking model architectures. • Implement testing frameworks to assess model performance. • Analyze model outputs for accuracy and bias. • Participate in the review and refinement of AI algorithms. • Document findings and procedures for team collaboration. Academic Qualifications Currently pursuing or recently completed a Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.", "summaryDescription" : "AI Research Internship - WM. Skills: Foundation models, AI development. Collect training datasets. Prepare training datasets", "postedDate" : "2026-06-12T18:24:33.741", "createdAt" : "2026-06-12T18:24:33.741", "lastUpdated" : "2026-06-15T22:18:32.888", "ingestTimestamp" : "2026-06-14T21:44:13.034", "mongoId" : "6a2c69c474d8ee00a0909291", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 140000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data preparation", "Data processing", "Model architecture design", "Model performance assessment", "Algorithm refinement", "Foundation models", "AI development", "Problem-solving", "Strategic thinking", "Innovative thinking", "Deep learning" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 940.0555, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69e104402beec4dd3def2533", "title" : "Software Development Engineer Internship - Fall 2026 (Canada)", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, studentprograms", "salary" : { "min" : 89700.0, "max" : 149800.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T01:38:41.226", "fingerprint" : "5b37f9fb583aa595a6a401c54dbe5b456a951f0a8779a38a753d93780ad3f8ab", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387163/apply", "externalId" : "7db59e3e-7006-4cee-9cfb-35c9d69b873e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Java, Python, C++, C#, Go, Rust, TypeScript, Data structures, Algorithms, Object-oriented design, Cloud-native architectures, Microservices, GenAI, AI", "professionalSkills" : [ "Technical discussions", "Operational excellence", "Design patterns" ], "hardSkillsList" : [ "Data structure implementation", "Algorithm development", "Object-oriented design" ], "hardSkills" : [ { "name" : "Data structure implementation", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Object-oriented design", "level" : "intermediate" } ], "majorSkills" : "Software development, Scalable services, Cloud computing", "majorSkillsList" : [ "Software development", "Scalable services", "Cloud computing" ], "coreResponsibilities" : "Collaborate with Amazonians to design products, Collaborate with Amazonians to build products, Collaborate with Amazonians to operate products, Participate in technical discussions, Design scalable solutions, Develop scalable solutions, Use cloud-native architectures, Use microservices, Participate in code reviews, Contribute to technical documentation, Build resilient distributed systems, Maintain resilient distributed systems, Leverage GenAI tools, Contribute to GenAI tools, Use AI-powered tools, Write clean code, Write maintainable code, Follow best practices, Follow design patterns, Work in agile environment, Practice CI/CD principles, Participate in operational responsibilities, Demonstrate operational excellence, Monitor production issues, Troubleshoot production issues, Resolve production issues", "teamCollaboration" : "Cross-disciplinary teams; Collaborative team environment", "projectManagementSkills" : [ "Agile environment", "CI/CD principles" ], "domainKnowledge" : "Distributed systems; Data management; Database systems; Quantum computing; Network development; Query processing; Optimization; Automated reasoning; Embedded systems; Data engineering; Mobile development; Game development; Cloud-native architectures; Microservices; Distributed computing environment; GenAI; AI", "domainList" : [ "distributed-systems", "data-management", "database-systems", "quantum-computing", "network-development", "query-processing", "optimization", "automated-reasoning", "embedded-systems", "data-engineering", "mobile-development", "game-development", "cloud-native-architectures", "microservices", "distributed-computing-environment", "genai", "ai" ], "domainSpecificKnowledge" : [ "Distributed systems", "Data management", "Database systems", "Quantum computing", "Network development", "Query processing", "Optimization", "Automated reasoning", "Embedded systems", "Data engineering", "Mobile development", "Game development", "Cloud-native architectures", "Microservices", "Distributed computing environment", "GenAI", "AI" ], "toolProficiency" : [ "Version control systems", "CI/CD" ], "communicationSkills" : "Technical discussions; Written communication; Verbal communication", "documentationSkills" : "Technical documentation", "continuousLearning" : "Culture of learning; Mentorship", "innovationCreativity" : "Innovative technology; Creating new products; Creating new features; Creating new services; Think big", "problemSolvingSkills" : "Solve complex problems; Problem-solving skills; Analytical skills; Troubleshooting complex systems", "qualificationsBasic" : "18 years of age or older, Experience with Java, Python, C++, C#, Go, Rust, or TypeScript, Experience with data structure implementation, Experience with basic algorithm development, Experience with object-oriented design principles, Enrolled in Bachelor's degree or above, Degree in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields, Able to work 40 hours/week, Commit to a 12-week internship, Expected conferral date between October 2026 – September 2029", "qualificationsPreferred" : "Previous technical internship experience, Demonstrated project experience, Experience with AI tools for development, Experience with productivity tools, Experience with Cloud platforms (AWS), Experience with Database systems (SQL and NoSQL), Experience contributing to open-source projects, Experience with Version control systems, Experience debugging complex systems, Experience troubleshooting complex systems, Demonstrated ability to learn new technologies quickly, Demonstrated ability to adapt to new technologies quickly, Basic understanding of software development lifecycle (SDLC), Problem-solving skills, Analytical skills, Excellent written communication skills, Excellent verbal communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "By applying to this position, your application will only be considered for our fall Software Development Engineer (SDE) internship roles. Our fall intern roles have start dates in August/September 2026 and are 12 weeks in duration. Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. Our SDE interns use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE interns solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years. At Amazon, we believe in ownership at every level. As a SDE intern, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth. Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes. We will take your location preferences into consideration. Preferences are based on business availability and are not guaranteed. Applicants will be considered at all locations we host interns in the Canada including but not limited to: Vancouver, BC; Toronto, ON; Winnipeg, MN; Victoria, BC; Ottawa, ON; Calgary, AB ***Locations are subject to change. *** During your application, you will have the opportunity to highlight your expertise in one or more of these specialized areas • Machine Learning • Distributed Systems and Data Management • Database Systems • Quantum Computing • Network Development • Query Processing and Optimization • Automated Reasoning • Embedded Systems • Data Engineering • Mobile Development • Game Development While team placement is based on business needs, sharing your specific skills and interests helps us better align your experience with potential roles. Key job responsibilities • Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward. • Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment. • Participate in code reviews and contribute to technical documentation. • Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective. • Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies. • Write clean, maintainable code following best practices and design patterns. • Work in an agile environment practicing CI/CD principles while participating in operational responsibilities. • Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues. A day in the life As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting. Basic Qualifications: - Are 18 years of age or older - Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript - Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles - Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields - Able to work 40 hours/week and commit to a 12-week internship - Expected conferral date between October 2026 – September 2029 Preferred Qualifications: - Experience from previous technical internship(s) or demonstrated project experience - Experience with one or more of the following: AI tools for development, productivity, Cloud platforms (preferably AWS), Database systems (SQL and NoSQL), Contributing to open-source projects, Version control systems, Debugging and troubleshooting complex systems - Debugging and troubleshooting complex systems - Demonstrated ability to learn and adapt to new technologies quickly - Basic understanding of software development lifecycle (SDLC) - Strong problem-solving and analytical skills - Excellent written and verbal communication skills 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. The starting pay for this position is listed below. Amazon is a total compensation company, additional earnings may include shift differentials, overtime pay, and performance bonuses where applicable. Final pay rate will be based on factors including shift selection, location, and experience. In addition, Amazon offers basic life & AD&D insurance, paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 89,700.00 - 149,800.00 CAD annually", "summaryDescription" : "Software Development Engineer Internship - Fall 2026 (Canada) at Amazon Development Centre Canada ULC. Skills: Software development, Scalable services, Cloud computing. Collaborate with Amazonians to design products. Collaborate with Amazonians to build products", "postedDate" : "2026-06-13T03:33:36.489", "createdAt" : "2026-06-13T03:33:36.489", "lastUpdated" : "2026-06-15T01:38:41.226", "ingestTimestamp" : "2026-06-13T03:33:36.489", "mongoId" : "69e104402beec4dd3def2533", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387163/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data structure implementation", "Algorithm development", "Object-oriented design", "Software development", "Scalable services", "Cloud computing", "Technical discussions", "Operational excellence", "Design patterns", "Agile environment", "CI/CD principles", "Distributed systems", "Data management", "Database systems", "Quantum computing", "Network development", "Query processing", "Optimization", "Automated reasoning", "Embedded systems", "Data engineering", "Mobile development", "Game development", "Cloud-native architectures", "Microservices", "Distributed computing environment", "GenAI", "AI", "Version control systems", "CI/CD" ], "skillCount" : 30, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 936.68726, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a484774d8ee00a05de96e", "title" : "Process Engineering Internship (Fall 2026)", "company" : "Freeform", "industry" : "Manufacturing", "salary" : { "min" : 41600.0, "max" : 62400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in El Segundo, United States, adjusted for the manufacturing industry." }, "location" : "El Segundo, California, United States", "locations" : [ "El Segundo", "California", "United States" ], "timestamp" : "2026-06-14T22:12:45.897", "fingerprint" : "05f4c2c65605fe990f6da90eb4c167c5b7458a6513dfa7d24bd14912aec504e2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/freeformfuturecorp/jobs/7765271003", "externalId" : "7765271003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, MATLAB", "professionalSkills" : [ "Data analysis", "Process development" ], "hardSkillsList" : [ "Experimental design", "Statistical analysis", "Material properties analysis", "Metrology measurements" ], "softSkillsList" : [ "Problem solving", "Ownership" ], "hardSkills" : [ { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Material properties analysis", "level" : "intermediate" }, { "name" : "Metrology measurements", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solving" }, { "name" : "Ownership" } ], "majorSkills" : "Process engineering, Data analysis, Additive manufacturing", "majorSkillsList" : [ "Process engineering", "Data analysis", "Additive manufacturing" ], "coreResponsibilities" : "Assist in developing understanding of process, Analyze in-situ data sets, Gain insight into physical mechanisms, Execute experiments, Analyze data to improve processes, Perform post-build metrology measurements, Analyze material properties, Assist in development of tool qualification procedures, Assist in implementation of tool qualification procedures", "teamCollaboration" : "Collaborate with mechanical engineers; Collaborate with software engineers; Collaborate with simulation engineers; Collaborate across disciplines", "domainKnowledge" : "Metal additive process; Multi-physics behavior; Metal 3D printing", "domainList" : [ "metal-additive-process", "multi-physics-behavior", "metal-3d-printing" ], "domainSpecificKnowledge" : [ "Metal additive process", "Multi-physics behavior", "Metal 3D printing" ], "toolProficiency" : [ "R", "JMP", "Minitab" ], "innovationCreativity" : "Develop novel processes", "problemSolvingSkills" : "Problem-solving mindset", "qualificationsBasic" : "Currently pursuing Bachelor's degree, Experience with experimental design, Statistical data analysis skills, Ability to interpret data, Experience with Python, Experience with MATLAB", "qualificationsPreferred" : "Undergraduate research experience, Process development experience, Experience with R, Experience with JMP, Experience with Minitab, Comfortable working in fast-paced environments, Iterating quickly, Willing to take ownership, Hands-on, problem-solving mindset, Demonstrated indicators of excellence, Achieving success against adversity", "workSiteFlexibility" : "Onsite", "rawDescription" : "PROCESS ENGINEERING INTERNSHIP (FALL 2026) Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. As a Process Engineering Intern at Freeform, you will help develop and refine novel processes for some of the world’s most advanced metal 3D printing systems. You will work closely with experienced engineers to study complex, multi-physics behavior within the printing process, building a foundational understanding of the system and applying those insights to support the development of next-generation processes. You’ll collaborate with mechanical, software, and simulation engineers to analyze large in-situ data sets and post-print material characteristics, contributing to rapid iteration and continuous improvement of the printing technology using data-driven and machine-learning-enabled approaches. 3D printing experience is not required to be successful here - we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! Responsibilities: Assist the Process Engineering team in developing a deep understanding of the metal additive process and hardware operation by analyzing massive in-situ data sets to gain insight into physical mechanisms of the printing process Execute experiments and analyze data to improve metal additive processes Perform post-build metrology measurements and analysis of material properties such as tensile strength, surface roughness, and alloy microstructure Assist in the development and implementation of tool qualification procedures Basic Qualifications: Currently pursuing Bachelor's degree in material science, physics, or similar engineering discipline Experience with experimental design and statistical data analysis Strong data analysis skills and ability to interpret important information from extremely large data sets Experience with Python and/or MATLAB Nice to Have: Undergraduate research experience in material science, physics, mechanical engineering Process development experience from cutting edge industries such as semiconductor, solar, or displays Experience with statistical data analysis software such as R, JMP, or Minitab Passion for improving the state of metal 3D printing Comfortable working in fast-paced, ambiguous environments and iterating quickly (comfortable building the plane as we fly it) Strong communicator who collaborates across disciplines and proactively seeks support when needed Willing to take ownership of tasks big and small, with a hands-on, problem-solving mindset Strong work ethic with a refuse-to-fail mindset Demonstrated indicators of excellence and/or achieving success against adversity (i. e. top academic performance, leadership in engineering clubs, first-generation college student, or other examples of resilience and achievement) Location: Based in Hawthorne, our vertically integrated facility brings technology development, R employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.", "summaryDescription" : "Process Engineering Internship (Fall 2026) at Freeform. Skills: Process engineering, Data analysis, Additive manufacturing. Assist in developing understanding of process. Analyze in-situ data sets", "postedDate" : "2026-06-11T21:01:35.060", "createdAt" : "2026-06-11T21:01:35.060", "lastUpdated" : "2026-06-14T22:12:45.897", "ingestTimestamp" : "2026-06-11T21:01:35.060", "mongoId" : "6a2a484774d8ee00a05de96e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Experimental design", "Statistical analysis", "Material properties analysis", "Metrology measurements", "Problem solving", "Ownership", "Process engineering", "Data analysis", "Additive manufacturing", "Process development", "Metal additive process", "Multi-physics behavior", "Metal 3D printing", "R", "JMP", "Minitab" ], "skillCount" : 16, "jobCategory" : "other", "jobSubcategory" : "early-career", "dataQualityScore" : 0.8888889, "_score" : 915.7346, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing" }, { "id" : "6a2aa74874d8ee00a06bd167", "title" : "Music & Visuals Internship - Fall 2026", "company" : "NPR", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level internships in Washington, D.C., adjusted for the media industry." }, "location" : "Washington, District of Columbia, United States", "locations" : [ "Washington", "District of Columbia", "United States" ], "timestamp" : "2026-06-14T21:29:13.423", "fingerprint" : "536a87323a560e5130167630b73d764239f46e3353ecfc66e6172ebf62d3752d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nationalpublicradioinc/jobs/4704439005", "externalId" : "4704439005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "INTERNSHIP", "hardSkillsList" : [ "Photography", "Video production", "Writing", "Editing" ], "softSkillsList" : [ "Creativity", "Attention to detail" ], "hardSkills" : [ { "name" : "Photography", "level" : "intermediate" }, { "name" : "Video production", "level" : "intermediate" }, { "name" : "Writing", "level" : "intermediate" }, { "name" : "Editing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Creativity" }, { "name" : "Attention to detail" } ], "majorSkills" : "Visual storytelling, Digital culture, Music trends, Social media content", "majorSkillsList" : [ "Visual storytelling", "Digital culture", "Music trends", "Social media content" ], "coreResponsibilities" : "Support production of Tiny Desk concerts, Support filming of Tiny Desk concerts, Produce high-caliber photography, Collaborate on multi-platform content creation, Track current music trends, Analyze current music trends", "teamCollaboration" : "Visuals team; Music team; Editorial staff", "domainKnowledge" : "Digital culture; New music; Music trends; Social media trends", "domainList" : [ "digital-culture", "new-music", "music-trends", "social-media-trends" ], "domainSpecificKnowledge" : [ "Digital culture", "New music", "Music trends", "Social media trends" ], "innovationCreativity" : "Imaginative intern", "specialRequirements" : "Minimum 3 days on-site per week", "outcomesObjectives" : "Maintain content relevance; Maintain audience engagement", "qualificationsBasic" : "Current student or recent graduate, Proficiency in photography, Proficiency in video production, Knowledge of digital culture, Knowledge of pop trends, Knowledge of current music landscape, Awareness of emerging social media trends, Proficient writing capabilities, Proficient editing capabilities", "qualificationsPreferred" : "TikTok social media trends awareness", "workSiteFlexibility" : "Onsite", "rawDescription" : "OVERVIEW A thriving, mission-driven multimedia organization, NPR produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation. The NPR audience values information, creativity, curiosity, and social responsibility – and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide. Across our organization, we’re building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR. This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR. Internship Program Duration: October 5th, 2026 - April 16th, 2027 Application Instructions: Applications close on Sunday, June 21st at 11:59 pm ET. Intro to Position NPR’s Visuals and Music teams are looking for a vibrant, imaginative intern to join our two pioneering departments. Tailored for a visual storyteller with a deep appreciation for digital culture and new music, this position provides the opportunity to create compelling multi-platform content, refine technical and editorial expertise, and engage with prominent editorial voices and industry tastemakers. This is an NPR editorial role covered under the terms of the NPR Ethics Handbook. All editorial staff are bound by this guidance. Editorial staff is defined as staff members who play a role in shaping the journalistic or creative direction of NPR's content, including events. Responsibilities Support the production and filming of Tiny Desk concerts as required. Produce high-caliber photography of Tiny Desk artists. Collaborate on the creation of multi-platform content for TikTok and various social media channels. Track and analyze current music trends to maintain content relevance and audience engagement. The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time. Qualifications Demonstrated proficiency in photography and video production. Comprehensive knowledge of digital culture, pop trends, and the current music landscape. A keen awareness of emerging social media trends, particularly on TikTok. Possess vibrant creativity and a meticulous attention to detail. Proficient writing and editing capabilities. Application Requirements Resume Cover Letter Portfolio Link Education Requirements Must be a current student in an accredited degree program or a recent graduate of no more than 12 months from the month of the start of the internship. Work Location & Requirements On-site (Non-union or SAG AFTRA): This is an on-site role based in Washington, D. C. Job Type This is a full-time, non-exempt internship. Schedule This is a full-time internship with a standard schedule of Monday through Friday, 9:00 AM to 5:00 PM EST. We expect the intern to follow the same schedule as the NPR Music team, with a minimum of 3 days on-site per week. Compensation Hourly Rate The U.S.-based anticipated hourly rate for this opportunity is $20.00 per hour. The range displayed reflects the minimum and maximum hourly rate NPR expects to provide for new hires for the position across all US locations. NPR Benefits: NPR offers interns a robust package of benefits and resources designed to foster their professional development and support their overall well-being. Interns are eligible to make elective contributions to the NPR 403(b) retirement plan. As an intern, you have access to Transit Commuter benefits through HealthEquity, which allow you to set aside pre tax funds for eligible commuting expenses. You are also eligible for membership with the Signal Financial Federal Credit Union, giving you access to a range of financial services and resources. At our DC Headquarters, interns enjoy free access to on-site Wellness Center, free fitness center membership, secure bike facilities, garage parking, and onsite cafeteria. Other benefits include the Employee Assistance Program with up to six face-to-face counseling sessions per issue, Global Guardian worldwide assistance, and Business Travel Accident coverage. Additionally, interns working 30 or more hours per week receive holiday pay for 10 observed holidays plus one floating holiday per year and accrue 3.08 hours of sick leave each pay period with no waiting period. NPR also supports career growth and work-life balance through professional development opportunities, flexible work hours, and telecommuting options. Does this sound like you? If so, we want to hear from you. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations. NPR Pay Range $20—$20 USD NPR is an Equal Opportunity Employer. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal – to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law. If you are a person with a disability needing assistance with the application process, please reach out to employeerelations@npr.org. You may read NPR’s privacy policy to learn about how NPR may handle information you submit with any application. Want more NPR? Explore the stories behind the stories on our NPR Extra blog. Get social with NPR Extra on Facebook and Instagram. Find more career opportunities at NPR.org/careers.", "summaryDescription" : "Music & Visuals Internship - Fall 2026 at NPR. Skills: Visual storytelling, Digital culture, Music trends, Social media content. Support production of Tiny Desk concerts. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. We specialize in complex, medium-to-large scale projects that leave a significant legacy in our communities, such as hospital campuses, post-secondary facilities and housing, community centers, and affordable housing. In addition to project work, we host weekly design social events to share our expertise, project work and personal interests. We also host a range of sporting events and other social events such as architectural film screenings. Our staff actively teach at UBC's School of Architecture and Landscape Architecture and can plug you into broader industry and academic events during your time in Vancouver. We want to build a better future, so we bring our talents together to add value, promote growth and inspire positive change. HDR is a place where you can accomplish as much as you're willing to, in your work and in your career. We rally behind a good idea - and each other. Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. We specialize in complex, medium-to-large scale projects that leave a significant legacy in our communities, such as hospital campuses, post-secondary facilities and housing, community centers, and affordable housing. In addition to project work, we host weekly design social events to share our expertise, project work and personal interests. We also host a range of sporting events and other social events such as architectural film screenings. Our staff actively teach at UBC's School of Architecture and Landscape Architecture and can plug you into broader industry and academic events during your time in Vancouver. We want to build a better future, so we bring our talents together to add value, promote growth and inspire positive change. HDR is a place where you can accomplish as much as you're willing to, in your work and in your career. We rally behind a good idea - and each other. Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. We specialize in complex, medium-to-large scale projects that leave a significant legacy in our communities, such as hospital campuses, post-secondary facilities and housing, community centers, and affordable housing. In addition to project work, we host weekly design social events to share our expertise, project work and personal interests. We also host a range of sporting events and other social events such as architectural film screenings. Our staff actively teach at UBC's School of Architecture and Landscape Architecture and can plug you into broader industry and academic events during your time in Vancouver. We want to build a better future, so we bring our talents together to add value, promote growth and inspire positive change. HDR is a place where you can accomplish as much as you're willing to, in your work and in your career. We rally behind a good idea - and each other. Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. 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By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. As an Additive Engineering Intern at Freeform, you will contribute to the development and scaling of our advanced metal 3D printing processes, including design for additive manufacturing (DFAM) feedback, print file preparation, toolpath automation, part quality analysis, and end-to-end process improvement. You will work closely with mechanical, electrical, software, and manufacturing engineers to support all stages of print development for high-volume production. Interns at Freeform own meaningful cradle-to-grave projects. Using first-principles thinking, you will help define test methods, evaluate solutions, iterate quickly, and synthesize information from engineering drawings, in-situ machine data, post-processing results, and inspection data to draw conclusions that improve printing and downstream machining processes. 3D printing experience is not required to be successful here - we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! Responsibilities: Own a cradle to grave project that delivers meaningful impact to critical print factory capabilities or customer print workflows Support all stages of print development including design for additive manufacturing feedback, file preparation, printing, post-processing, and quality control Analyze in-situ data and post-print part quality to drive continuous improvement in system performance Use first-principles thinking to define problems, develop test methods, evaluate solutions, iterate, and provide technical recommendations Basic Qualifications: Currently enrolled in a bachelor’s degree in mechanical or aerospace engineering from an ABET accredited university or college Hands on design experience from internships or engineering clubs such as FSAE, Baja SAE, solar car, rocket club, robotics club, or similar Strong grasp of mechanical engineering fundamentals and comfortable taking a first-principles approach to solving problems Nice to Have: Advanced degree (Master's, PhD) in mechanical or aerospace engineering Experience with metal 3D printing or additive manufacturing processes Experience with process development for metal additive manufacturing Scripting experience in MATLAB or similar tools for toolpath generation Experience with DFM and GD employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.", "summaryDescription" : "Additive Engineering Internship (Fall 2026) at Freeform. Skills: Additive manufacturing, Process development, Data analysis. Own a cradle to grave project. 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The NPR audience values information, creativity, curiosity, and social responsibility – and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide. Across our organization, we’re building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR. This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR. Internship Program Duration: October 5th, 2026 - April 16th, 2027 Application Instructions: Applications close on Sunday, June 21st at 11:59 pm ET. Intro to Position Tens of millions of listeners tune in to NPR’s Newscasts each week to get the latest news and hear the best of NPR and its member stations’ reporting in five minutes. The Newscast team collaborates with all the news desks, as well as the visual production team, giving the intern exposure to the entire newsroom. A Newscast intern should have a passion for journalism and news across a wide range of topics. The intern will have the opportunity to learn from experienced newscasters on how to adapt stories to short-form. They will assist in newsgathering, cutting tape, pitching stories and writing copy. The intern will have the opportunity to report their own stories and have their work on our air. This is an NPR editorial role covered under the terms of the NPR Ethics Handbook. All editorial staff are bound by this guidance. Editorial staff is defined as staff members who play a role in shaping the journalistic or creative direction of NPR's content, including events. Responsibilities Interns will have the opportunity to experience and support the teams’ work in the following areas: Assisting NPR anchors, reporters and producers in the formation of news programming Learning NPR News’ radio journalism ethical standards and practices Developing radio reporting and producing skills in a fast-paced environment that will prepare the intern for careers at NPR member stations and at NPR itself Conduct research and interviews with analysts for editors and reporters Become proficient in audio cutting and pulling soundbites from live events Build out coverage calendar and identify stories to cover All work of the intern is to be performed under the close supervision of the Newscast team A strong internship candidate for this role might have: Some journalism experience (such as an internship at a local public radio station or a job at a college radio station) The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time. Qualifications Strong writing skills Ability to multitask in a fast-paced environment Detail-oriented Audio cutting experience Strong interest in national and international news Ability to meet tight deadlines Enthusiastic about covering news, especially breaking news Application Requirements Resume Cover Letter Prompt: What do you think about the role of news in today's media landscape? What topics would you prioritize, or even de-prioritize? We would also love to learn where you might bring a particular strength or viewpoint! Education Requirements Must be a current student in an accredited degree program or a recent graduate of no more than 12 months from the month of the start of the internship. Work Location & Requirements This is an on-site role based in Washington, D. C. Job Type This is a full-time, non-exempt internship. Schedule This is a full-time internship with a standard schedule of Monday through Friday, 8:00 AM to 4:00 PM EST. The schedule can be modified to experience working with different shifts during the day. Compensation Hourly Rate The U.S.-based anticipated hourly rate for this opportunity is $20.00 per hour. The range displayed reflects the minimum and maximum hourly rate NPR expects to provide for new hires for the position across all US locations. NPR Benefits: NPR offers interns a robust package of benefits and resources designed to foster their professional development and support their overall well-being. Interns are eligible to make elective contributions to the NPR 403(b) retirement plan. As an intern, you have access to Transit Commuter benefits through HealthEquity, which allow you to set aside pre tax funds for eligible commuting expenses. You are also eligible for membership with the Signal Financial Federal Credit Union, giving you access to a range of financial services and resources. At our DC Headquarters, interns enjoy free access to on-site Wellness Center, free fitness center membership, secure bike facilities, garage parking, and onsite cafeteria. Other benefits include the Employee Assistance Program with up to six face-to-face counseling sessions per issue, Global Guardian worldwide assistance, and Business Travel Accident coverage. Additionally, interns working 30 or more hours per week receive holiday pay for 10 observed holidays plus one floating holiday per year and accrue 3.08 hours of sick leave each pay period with no waiting period. NPR also supports career growth and work-life balance through professional development opportunities, flexible work hours, and telecommuting options. Does this sound like you? If so, we want to hear from you. #LI-Onsite The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations. NPR Pay Range $20—$20 USD NPR is an Equal Opportunity Employer. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal – to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law. If you are a person with a disability needing assistance with the application process, please reach out to employeerelations@npr.org. You may read NPR’s privacy policy to learn about how NPR may handle information you submit with any application. Want more NPR? Explore the stories behind the stories on our NPR Extra blog. Get social with NPR Extra on Facebook and Instagram. 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That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further. OUR MISSION We’re building software systems that enable robots to operate effectively in the real world expanding human capability and redefining how work gets done. THE OPPORTUNITY We’re looking for interns who are curious, proactive, and excited to work on real-world robotic systems. This is an open-ended internship, you won’t be confined to a single component, but will work across perception, navigation, and multimodal systems, collaborating closely with the team to find where you can have the most impact. You may work anywhere along the stack, from camera systems (timestamping, synchronization, validation), through perception and scene understanding, to navigation and integration with locomotion. The scope is intentionally broad. We’re looking for people who are excited to dive into unfamiliar areas and learn quickly. This is a full-time internship (5 days per week) over the summer (mid June - mid September), based in our London Paddington office, where you’ll contribute to real systems from early on with guidance and support from experienced researchers and engineers. Duration: 12 weeks | Start date: June | Compensation: Competitive pay + we'll keep you fed (seriously, the food is good) WHAT YOU MIGHT WORK ON - Develop perception systems for robot navigation and interaction in real-world environments - Work on focused problems within Vision-Language(-Action) or multimodal models (components, datasets, evaluation) - Run and analyse experiments using existing pipelines - Improve data quality through curation and labeling - Explore scene understanding, 3D perception, or navigation methods and apply them to real systems - Prototype ideas and iterate quickly with guidance - Collaborate on integrating models into robotic platforms WHAT WE’RE LOOKING FOR - Pursuing a degree in Computer Science, Machine Learning, Robotics, or a related field. - Strong foundations in machine learning and/or computer vision. - Hands-on experience with PyTorch and training ML models. - Experience running experiments and interpreting results. - Interest in multimodal models, 3D vision, spatial reasoning, navigation or embodied AI. - Ability to take ownership and iterate with guidance. - Strong problem-solving skills and attention to detail. - Fast learner, comfortable in a research-driven, fast-moving environment. HOW TO APPLY Complete the challenge below and submit your solution as a public GitHub repository — include a README with instructions to run your system, example outputs, and a short note on your design choices. You will be able to include your GitHub repository URL when you fill out the application form, alongside your name and CV. We’re not looking for standard solutions, we're looking for how you think. The strongest submissions are creative, original, and push beyond the obvious. Intern Challenge: From Video to 3D Reconstruction Build a system that takes a short video (e.g. captured on a phone), of a small indoor area such as a small room, and reconstructs a 3D scene. The core goal is geometric reconstruction from video. Semantic understanding is welcome, but optional. At a minimum, your system should: - Generate a 3D representation of the scene from video input - Produce a reconstruction that is geometrically coherent and consistent Optional extensions: - Assign semantic labels in 3D (e.g. tables, chairs) - Ensure any semantic predictions are aligned with the underlying geometry There are no constraints on real-time performance, We’re intentionally leaving the approach open, use any tools, models, frameworks, or agentic workflows you find effective. What to submit - A working codebase - Clear instructions on how to run your system - Example input(s) and output(s) - (Optional) A short note explaining your design choices and tradeoffs What we care about - Simplicity and usability of your solution - Creativity in approach - Quality of 3D scene reconstruction - Clear, compelling presentation of results - Coherence between geometry and semantics Make something you’re proud of.", "summaryDescription" : "Internship - Perception and Spatial AI at Humanoid. 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Take ownership and accountability. Face the Brutal Truth - Transparency, honesty, big picture curiosity. Fearless decision making. Be a Good Person - Kindness, collaboration and teamwork. Peak Energy is committed to building a diverse and inclusive workforce. We strongly encourage women, people of color, and individuals from underrepresented groups to apply. We value skills, potential, and perspective over specific credentials. If you’re excited about this role but your experience doesn’t look perfect on paper, we still want to hear from you. Compensation & Benefits The hourly rate for this role is $30/hour. Join us to thrive in a supportive environment while making a meaningful impact in the energy sector! At Peak Energy Technologies Inc., we believe that a diverse and inclusive workplace makes us a more capable, innovative, and competitive company. We welcome people who represent diversity in their backgrounds, ethnicities, cultures, and experiences. Peak Energy Technologies Inc. is an equal opportunity employer, aiming to reach our company’s full potential by cultivating an inclusive workforce. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.", "summaryDescription" : "Supplier Industrialization Engineer Intern (Fall 2026) at Peak Energy", "postedDate" : "2026-06-16T03:16:44.595", "createdAt" : "2026-06-16T03:16:44.595", "lastUpdated" : "2026-06-16T15:18:23.967", "ingestTimestamp" : "2026-06-16T03:16:44.595", "mongoId" : "6a30a31ef292fd229c12326f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 867.77686, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb02d74d8ee00a09d9212", "title" : "Firmware Internship 2026/2027", "company" : "Halter", "industry" : "Internships and Graduate Opportunities ", "salary" : { "min" : 31500.0, "max" : 42000.0, "currency" : "NZD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an entry-level Firmware Internship in Auckland, New Zealand, with adjustments for the technology industry." }, "location" : "Auckland", "locations" : [ "Auckland" ], "timestamp" : "2026-06-16T06:36:32.852", "fingerprint" : "45d8b649863d78a4cfc4d0e4d0b0c42573be9ba2573012adc199f1e08967c6a4", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/halter/99a7eac6-0d38-4d17-a22b-f050c9ba0eaa/application", "externalId" : "99a7eac6-0d38-4d17-a22b-f050c9ba0eaa", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Auckland", "country" : "New Zealand", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-36.8520950,174.7631803" } ], "locationText" : "Auckland, New Zealand", "employmentType" : "INTERNSHIP", "technicalSkills" : "Firmware", "professionalSkills" : [ "Performance improvements", "Technical issues" ], "hardSkillsList" : [ "Debugging" ], "hardSkills" : [ { "name" : "Debugging", "level" : "intermediate" } ], "majorSkills" : "Firmware development", "majorSkillsList" : [ "Firmware development" ], "coreResponsibilities" : "Design new features, Implement new features, Deliver new features, Improve product firmware performance, Identify technical issues, Debug technical issues, Resolve technical issues, Drive quality improvements, Drive testing improvements, Monitor fleet performance, Enhance monitoring platforms", "teamCollaboration" : "Engineering teams", "continuousLearning" : "Self-directed learning; Seeking guidance", "problemSolvingSkills" : "Tackling challenging problems; Diving deep", "specialRequirements" : "Full-time 40 hours", "qualificationsBasic" : "Enrolled in penultimate or final year of degree, Recently graduated", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. About the role As part of the platform team, you’ll contribute to the development of firmware and tooling, taking your work from concept all the way through to production in our live fleet. You’ll collaborate closely with engineering teams in a fast-paced, dynamic environment where decisions happen quickly, and every contribution makes an impact. This internship will run from mid-to-late November 2026 and end in February 2027. It will be onsite & full-time 40 hours a week over this period. What your day could look like - Design, implement, and deliver new features and performance improvements for our product firmware. - Identify, debug, and resolve complex technical issues. - Drive improvements to our quality and testing systems. - Proactively monitor the performance of our fleet and enhance our monitoring platforms. Who we're looking for - You are enrolled in your penultimate or final year of a Software Engineering, Mechatronics, or similar degree - or have recently graduated. - You love tackling challenging technical problems and diving deep to solve them. - You’re eager to accelerate your career growth by getting hands-on experience. - You can balance self-directed learning with seeking guidance from experienced teammates. - You’re a strong team player who contributes to team performance and thrives on giving and receiving feedback. Why our team loves working at Halter - The privilege of contributing to a product our customers love and rely on 24/7. - The excitement, risk, and reward of a high-growth technology scale-up. - The pride of joining an iconic New Zealand technology company succeeding on the global stage. - The opportunity to work with—and learn from—a dynamic, highly talented team with diverse backgrounds. - A chance to supercharge your career in a supportive and caring environment. - A no-nonsense, mission-first approach where we trust and support each other to deliver the best outcomes for our customers. Our Office First Approach There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other. Join our team Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page for more information on working at Halter and don't forget to follow us on LinkedIn & Instagram. Why our team loves working at Halter - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: \"Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!\"", "summaryDescription" : "Firmware Internship 2026/2027 at Halter. Skills: Firmware development. Design new features. Implement new features", "createdAt" : "2026-06-14T20:21:28.911", "lastUpdated" : "2026-06-16T06:36:32.852", "ingestTimestamp" : "2026-06-14T20:21:28.911", "mongoId" : "6a2cb02d74d8ee00a09d9212", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Debugging", "Firmware development", "Performance improvements", "Technical issues" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 865.96075, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30508af292fd229cef1c43", "title" : "AI-Driven Frontend Internship", "company" : "Trengo", "industry" : "Engineering", "salary" : { "min" : 500.0, "max" : 500.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Utrecht office", "locations" : [ "Utrecht office" ], "timestamp" : "2026-06-16T09:51:09.988", "fingerprint" : "2b57f115736a26e61f8bf045c9e3c9a5faec41e175be06da0bd81f19ab72b4f5", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/careerstrengo/5b5729bd-4726-41ac-ab3f-2a3693d4927b/application", "externalId" : "5b5729bd-4726-41ac-ab3f-2a3693d4927b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.0907006,5.1215634" } ], "locationText" : "Utrecht, Netherlands", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Vue3, Pinia, Vite", "professionalSkills" : [ "Problem solving", "Persistence" ], "hardSkillsList" : [ "Frontend development" ], "hardSkills" : [ { "name" : "Frontend development", "level" : "intermediate" } ], "majorSkills" : "AI-Driven Development, Frontend Development", "majorSkillsList" : [ "AI-Driven Development", "Frontend Development" ], "coreResponsibilities" : "Fix frontend bugs, Tackle frontend tech debt, Improve frontend, Rotate across engineering teams, Support project deliveries, Use AI coding tools, Speed up coding, Speed up problem-solving, Pick up prompting techniques, Question awkward steps, Question 'why is it this way?' gaps", "teamCollaboration" : "Across engineering teams; Small collaborative team", "domainKnowledge" : "AI-driven communication; AI-powered platform; AI-augmented development", "domainList" : [ "ai-driven-communication", "ai-powered-platform", "ai-augmented-development" ], "domainSpecificKnowledge" : [ "AI-driven communication", "AI-powered platform", "AI-augmented development" ], "toolProficiency" : [ "Claude Code", "Cursor", "Codex" ], "communicationSkills" : "Communicate clearly", "continuousLearning" : "1-on-1 mentorship; Hands-on training; Dedicated buddy", "innovationCreativity" : "Champion AI innovation; Shape product roadmap", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Ship a better experience; Contribute to growth", "qualificationsBasic" : "Currently studying computer science, Currently studying software engineering, Available to start September 2026, Commit to 6-month internship, 32-40 hours per week", "qualificationsPreferred" : "Experimented with AI coding tools, Comfortable with Vue3, Comfortable with Pinia, Comfortable with Vite, Keen to learn Vue3, Keen to learn Pinia, Keen to learn Vite, Keen to learn modern frontend tooling", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "As our AI-Driven Frontend Intern, you'll help our engineering teams keep the product fast, clean, and reliable to build on. By fixing well-scoped bugs, chipping away at frontend tech debt, and rotating across teams to support real project deliveries, you'll help Trengo ship a better experience to the thousands of businesses that rely on us, and contribute directly to how we grow. ABOUT TRENGO Welcome to the forefront of AI-driven communication. At Trengo, we’re redefining the industry by replacing repetitive work with meaningful conversations through our AI-powered customer engagement platform. We unify communication channels and leverage agentic AI to deliver proactive, human-like service, boosting efficiency for thousands of businesses worldwide. As a fast-moving Dutch scale-up, backed by a $36M Series A and an official WhatsApp Business Solutions Provider, we thrive on acceleration. Your expertise will drive growth: you’ll make a strategic impact, champion AI innovation, and help shape the product roadmap. You’ll do this alongside an international team guided by our Dynamic pace, Future-proof mindset, Ownership, and Open culture. WHAT YOUR ROLE LOOKS LIKE: - Fix real, well-scoped bugs in our frontend, each one pre-triaged with clear boundaries and reviewed by a senior engineer, so you ship with confidence from day one. - Tackle bite-sized pieces of our frontend tech debt and improvement work, turning a large cleanup effort into steady, visible progress. - Rotate across our engineering teams, joining a few project deliveries to see how each one works and where you fit best. - Lean on AI-powered coding tools (especially Claude Code, alongside Cursor and Codex) to speed up your coding and problem-solving, and pick up the prompting techniques behind AI-augmented development. - Question the awkward steps and \"why is it this way?\" gaps that experience tends to gloss over. Your fresh perspective is part of the value you bring. WHAT YOU’LL BRING We’d love to meet you if you: - Are currently studying computer science, software engineering, or a related field, and have picked up some frontend experience through coursework, personal projects, or a first internship. - Are available to start in September 2026 and can commit to a 6-month internship for 32–40 hours per week. - Have experimented with AI-powered coding tools like Claude Code, Cursor, or Codex, and are eager to build them into how you work. - Are comfortable with, or keen to learn, Vue3, Pinia, Vite, or similar modern frontend tooling. - Approach problems with curiosity and persistence, and aren't afraid to ask questions when something doesn't make sense. - Communicate clearly and enjoy working as part of a small, collaborative team. ⚙️ OUR TECH & AI MINDSET AI is not a buzzword at Trengo — it’s part of how we build and operate. You’ll work with AI-driven features, automation, data, or tools that help us move faster and smarter. We value thoughtful use of AI that creates real value for customers and teams. WHAT’S IN IT FOR YOU? This is what we carefully prepared for you: - \uD83D\uDE80 A chance to experiment with AI-Driven Frontend Development and contribute to growth at the intersection of AI and SaaS. - \uD83D\uDC69‍\uD83C\uDFEB 1-on-1 mentorship from the Lead Front-end Engineer of a fast-growing SaaS company. - \uD83C\uDFD7️ A strong onboarding program with hands-on training and a dedicated buddy to set you up for success. - \uD83D\uDCB6 A monthly internship compensation of €500 to support you throughout your internship. - \uD83C\uDFE1+\uD83C\uDFE2 Flexible work setup: join us in our beautiful Utrecht HQ and work some days from home. - \uD83E\uDDD8 Mental health support with free sessions from on-demand psychologists (OpenUp). - \uD83D\uDCF6 Monthly internet & phone allowance to stay connected. - \uD83C\uDF89 Team activities throughout the year. - \uD83C\uDF74 Daily warm lunches prepared by our workplace experience team when you’re at our beautiful Utrecht office https://www.centralpark-utrecht.nl/en. \uD83D\uDCC5 Please note: This internship is intended for students who are available to start their internship in September 2026. \uD83D\uDD0D OUR HIRING PROCESS 1. Introductory call – First conversation with our Talent team. 2. Manager interview – Deep dive into experience and expectations. 3. Practical assignment – Role-related, real-world challenge. 4. Team connection – Meet future colleagues and confirm mutual fit. We aim to keep the process clear, fair, and timely, and we’ll keep you informed at every step. YOUR NEXT CHALLENGE STARTS HERE! We believe great ideas come from diverse perspectives. If you’re excited about this role but don’t meet every requirement, we encourage you to apply. #LI-Hybrid #LI-MT1", "summaryDescription" : "AI-Driven Frontend Internship at Trengo. Skills: AI-Driven Development, Frontend Development. Fix frontend bugs. Tackle frontend tech debt", "createdAt" : "2026-06-16T00:25:36.208", "lastUpdated" : "2026-06-16T09:51:09.988", "ingestTimestamp" : "2026-06-16T00:25:36.208", "mongoId" : "6a30508af292fd229cef1c43", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Frontend development", "AI-Driven Development", "Frontend Development", "Problem solving", "Persistence", "AI-driven communication", "AI-powered platform", "AI-augmented development", "Claude Code", "Cursor", "Codex" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 863.2307, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7f3374d8ee00a0954caf", "title" : "People Operations Intern (Fall 2026)", "company" : "StackAdapt", "industry" : "Technology", "salary" : { "min" : 18.0, "max" : 22.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T04:59:01.016", "fingerprint" : "5a7fa3cba43a9c96db895d9aa06b05853d45358a917dd43718de0517f136a286", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/stackadapt-confidential/jobs/4280872009", "externalId" : "4280872009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Personal integrity", "Confidentiality" ], "hardSkillsList" : [ "Data entry", "Data audits", "ATS management", "HRIS management", "Excel", "Google Sheets", "VLOOKUPs", "Pivot tables" ], "softSkillsList" : [ "Independent work" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Data audits", "level" : "intermediate" }, { "name" : "ATS management", "level" : "intermediate" }, { "name" : "HRIS management", "level" : "intermediate" }, { "name" : "Excel", "level" : "intermediate" }, { "name" : "Google Sheets", "level" : "intermediate" }, { "name" : "VLOOKUPs", "level" : "intermediate" }, { "name" : "Pivot tables", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independent work" } ], "majorSkills" : "Talent management, HR processes, Employee relations, Organizational development", "majorSkillsList" : [ "Talent management", "HR processes", "Employee relations", "Organizational development" ], "coreResponsibilities" : "Provide administrative support, Schedule interviews, Manage talent workflows, Onboard employees in HRIS, Submit tickets, Respond to employee questions, Route requests, Prepare employment documents, Maintain digital files, Track company policy updates, Assist with work authorizations, Perform data entry, Conduct routine audits, Update People Technology stack", "teamCollaboration" : "Talent and People Operations team; Global Mobility team", "domainKnowledge" : "Employee lifecycle; Global mobility; Talent acquisition; HRIS systems; ATS systems", "domainList" : [ "employee-lifecycle", "global-mobility", "talent-acquisition", "hris-systems", "ats-systems" ], "domainSpecificKnowledge" : [ "Employee lifecycle", "Global mobility", "Talent acquisition", "HRIS systems", "ATS systems" ], "toolProficiency" : [ "Greenhouse", "UKG", "Excel", "Google Sheets" ], "communicationSkills" : "Written communication; Verbal communication; Meeting notes; Draft guides", "documentationSkills" : "Step-by-step guides", "continuousLearning" : "Build automated forms; Build workflows", "problemSolvingSkills" : "Data accuracy; Process efficiency; User-friendly processes", "qualificationsBasic" : "Currently enrolled in post-secondary program", "qualificationsPreferred" : "Preference for Human Resources or related field, Proficiency in Excel/Google Sheets, Interest in learning systems, Willingness to learn automated forms", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We are looking for a People Operations Intern to provide administrative support across our Talent and People Operations team. Reporting to the Manager, Global Mobility, you will play a key role in keeping our team organized, our data accurate, and our hiring process running smoothly. This is a great opportunity for someone who enjoys the details—you’ll balance core coordination tasks with projects aimed at making our internal processes more efficient and user-friendly. StackAdapt is a remote-first company. We are open to candidates located anywhere in Canada for this position and encourage those from all backgrounds to apply. What you’ll be doing: Provide broad administrative support across the employee lifecycle, including interview scheduling, managing talent workflows in the ATS (Greenhouse), onboarding in the HRIS, submitting tickets and other administrative support. Monitor the People Operations, People Technology and Global Mobility mailboxes, responding to general employee questions and routing requests as needed. Prepare standard employment documents, such as verification letters, and maintain organized digital files for the team. Support the tracking of company policy updates and assist with the basic administrative tasks required for work authorizations. Perform regular data entry and routine audits within the HRIS (UKG) to ensure all employee information remains accurate and consistent. System updates across the People Technology stack. Other duties as assigned What You’ll Bring to the Table: Must be currently enrolled in a post-secondary program, with a strong preference for Human Resources or a related field. Strong written and verbal communication, ability to take meeting notes and help draft step-by-step guides for team tasks. Proficiency in Excel/Google Sheets skills (pivots, VLOOKUPs) is advantageous. Demonstrates a high degree of personal integrity and an understanding of the importance of keeping employee information confidential. Strong attention to detail and accuracy for compliance-heavy tasks, data audits and reporting. Comfortable working independently and taking initiative. An interest in learning how systems work together and a willingness to learn how to build automated forms and workflows. The compensation range listed for this role reflects the expected hourly rate for candidates located in Ontario, Canada. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. This range represents hourly rate only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package. Factors Influencing Final Compensation: The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer. Ontario Hourly Band $18—$22 CAD StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: Ad Age Best Places to Work 2024 G2 Top Software and Top Marketing and Advertising Product for 2024 Campaign’s Best Places to Work 2023 for the UK 2024 Best Workplaces for Women and in Canada by Great Place to Work® #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising", "summaryDescription" : "People Operations Intern (Fall 2026) at StackAdapt. Skills: Talent management, HR processes, Employee relations, Organizational development. Provide administrative support. Schedule interviews", "postedDate" : "2026-06-14T20:03:02.746", "createdAt" : "2026-06-14T20:03:02.746", "lastUpdated" : "2026-06-16T04:59:01.016", "ingestTimestamp" : "2026-06-14T20:03:02.746", "mongoId" : "6a2c7f3374d8ee00a0954caf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data entry", "Data audits", "ATS management", "HRIS management", "Excel", "Google Sheets", "VLOOKUPs", "Pivot tables", "Independent work", "Talent management", "HR processes", "Employee relations", "Organizational development", "Personal integrity", "Confidentiality", "Employee lifecycle", "Global mobility", "Talent acquisition", "HRIS systems", "ATS systems", "Greenhouse", "UKG" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 862.4357, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca05574d8ee00a09a1e77", "title" : "Software Engineer Intern (Fall 2026)", "company" : "Saronic Technologies", "industry" : "Internships & Co-Ops", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level Software Engineer Intern in Austin, TX, adjusted for the technology industry and company size." }, "location" : "Austin, TX", "locations" : [ "Austin, TX" ], "timestamp" : "2026-06-16T06:49:43.856", "fingerprint" : "ee0523c7f7b3ffae6c1b6730264d1112c6120e231208d72987195c11fc47fc74", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/saronic/1c74957f-0895-415b-9324-08b0994747d7/application", "externalId" : "1c74957f-0895-415b-9324-08b0994747d7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, C++, Typescript, Javascript, Rust", "professionalSkills" : [ "Problem-solving", "Analytical skills" ], "hardSkillsList" : [ "Robotics principles", "Autonomous systems", "Sensor technologies" ], "hardSkills" : [ { "name" : "Robotics principles", "level" : "intermediate" }, { "name" : "Autonomous systems", "level" : "intermediate" }, { "name" : "Sensor technologies", "level" : "intermediate" } ], "majorSkills" : "Software development, Autonomous systems, Real-time processing", "majorSkillsList" : [ "Software development", "Autonomous systems", "Real-time processing" ], "coreResponsibilities" : "Design software components, Implement software components, Test software components, Develop algorithms, Optimize algorithms, Assist in development of testing frameworks, Participate in hardware-in-the-loop testing, Contribute to creation of technical documentation, Work closely with cross-functional teams", "teamCollaboration" : "Collaborate with experienced engineers; Work with cross-functional teams; Seamless integration with hardware", "domainKnowledge" : "Autonomy at sea; Autonomous surface vessels; Maritime operations; Navigation algorithms; Sensor integration; Communication protocols; Real-time decision-making; Path planning; Object detection", "domainList" : [ "autonomy-at-sea", "autonomous-surface-vessels", "maritime-operations", "navigation-algorithms", "sensor-integration", "communication-protocols", "real-time-decision-making", "path-planning", "object-detection" ], "domainSpecificKnowledge" : [ "Autonomy at sea", "Autonomous surface vessels", "Maritime operations", "Navigation algorithms", "Sensor integration", "Communication protocols", "Real-time decision-making", "Path planning", "Object detection" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Design specifications; User manuals; Test plans", "continuousLearning" : "Mentored by experienced engineers", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "specialRequirements" : "Full-time in office presence, Physical demands", "qualificationsBasic" : "Currently enrolled in Bachelor's or Master's program, Programming skills in Python, C++, Typescript, Javascript, or Rust, Basic understanding of robotics principles, Basic understanding of autonomous systems, Basic understanding of sensor technologies, Analytical and problem-solving skills, Ability to work independently, Ability to work collaboratively, Full-time in office presence (40 hours/week), U.S. Person status required", "qualificationsPreferred" : "Master's program enrollment preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. Job Overview We are seeking a motivated and talented Software Engineer Intern to work on real-world problems that contribute directly to the development of our autonomous surface vessels. You will gain hands-on experience in software development, testing, and integration, and work alongside experienced engineers to tackle complex challenges in autonomy, sensor fusion, and real-time processing. This internship is ideal for students pursuing Computer Science, Software Engineering, Electrical Engineering, and Computer Engineering, or a related field, and eager to make an impact in the defense tech industry. All interns will be supported and mentored by experienced Software Engineers. Responsibilities - Design, implement, and test software components for autonomous systems, including navigation algorithms, sensor integration, and communication protocols - Collaborate with the team to develop and optimize algorithms for real-time decision-making, path planning, and object detection - Assist in the development of testing frameworks and participate in hardware-in-the-loop (HIL) testing to validate software performance in simulated and real-world environments - Contribute to the creation of technical documentation, including design specifications, user manuals, and test plans - Work closely with cross-functional teams, including mechanical, electrical, and systems engineers, to ensure seamless integration of software with hardware components Qualifications - Currently enrolled in a Bachelor's or Master's program in Computer Science, Software Engineering, Electrical and Computer Engineering, or a related field - Programming skills in Python, C++, Typescript, Javascript, or Rust - Basic understanding of robotics principles, autonomous systems, and sensor technologies - Strong analytical and problem-solving skills - Ability to work independently and collaboratively in a fast-paced environment - This role requires full-time in office presence (40 hours/week) based at our headquarters in Austin, TX, from August through December Physical Demands - Prolonged periods of sitting at a desk and working on a computer - Occasional standing and walking within the office - Manual dexterity to operate a computer keyboard, mouse, and other office equipment - Visual acuity to read screens, documents, and reports - Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies - Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages) If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3) https://www.govinfo.gov/link/uscode/8/1324b. Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.", "summaryDescription" : "Software Engineer Intern (Fall 2026) at Saronic Technologies. Skills: Software development, Autonomous systems, Real-time processing. Design software components. 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Work with reporters; Work with correspondents; Work with newsroom desks; Work with Planet Money suite; Work with Indicator team", "domainKnowledge" : "Journalism; Multimedia; Podcasting; Narrative podcasting; Longform podcasting; Public radio; News production; Economics; Current events", "domainList" : [ "journalism", "multimedia", "podcasting", "narrative-podcasting", "longform-podcasting", "public-radio", "news-production", "economics", "current-events" ], "domainSpecificKnowledge" : [ "Journalism", "Multimedia", "Podcasting", "Narrative podcasting", "Longform podcasting", "Public radio", "News production", "Economics", "Current events" ], "communicationSkills" : "Professional phone presence", "continuousLearning" : "Professional development opportunities", "innovationCreativity" : "Experimenting with video", "outcomesObjectives" : "Lead production on an episode; Lead producer credit on episode", "qualificationsBasic" : "Excellent writing skills, Excellent research skills, Excellent analytical skills, Professional phone presence, Ability to multitask, Ability to work independently, Ability to work quickly, Ability to work accurately, Ability to work under deadline pressure, Web skills, Basic web publishing software knowledge, Social media strategy basics knowledge, Ability to remain calm, Ability to communicate clearly on tight deadlines, Ability to communicate clearly in remote/virtual work environments", "qualificationsPreferred" : "ProTools preferred, Economics knowledge, Current events knowledge", "workSiteFlexibility" : "Flexible", "rawDescription" : "OVERVIEW A thriving, mission-driven multimedia organization, NPR produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation. The NPR audience values information, creativity, curiosity, and social responsibility – and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide. Across our organization, we’re building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR. This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR. Internship Program Duration: October 5th, 2026 - April 16th, 2027 Application Instructions: Applications close on Sunday, June 21st at 11:59 pm ET. Intro to Position NPR is seeking an intern to support its narrative, longform podcasting work with two award-winning podcast teams: The Sunday Story from Up First and The Indicator from Planet Money. This internship is an opportunity to work with two different teams on all aspects of podcast production — assessing pitches, researching, booking and prepping interviews, tape gathering, writing and assembling drafts, editing audio, and scoring. You will be exposed to the podcast production process from start to finish — seeing episodes go from pitch to publish. This is a fun and demanding 6-month role as an active collaborator on two ambitious teams — 3 months will be spent with The Indicator from Planet Money and 3 months will be spent with The Sunday Story from Up First. During the Indicator from Planet Money rotation, you will mostly work with the Indicator team, but you will get to see and participate in the full Planet Money suite of production across platforms. You’ll see how the team nerds out and chooses stories across two podcasts, a TikTok channel, a newsletter and broadcast. You can help us with some of it, maybe even all of it, if that’s what excites you. We make five short weekly podcasts on the Indicator, where every day is a dash to do the best we can, to find the smartest guests, the freshest insights, the most creative opening line. Planet Money makes two longer episodes a week and spends hours and hours in narrative editing mode honing the plot twists or perfecting the right audio mix to land a joke. Both shows take a lot of research, which we can always use help with. We're experimenting with how to use video and are doing clips, so there's plenty to pitch in with and learn on that front. We love to teach, and we're looking for someone eager to learn by jumping into the various projects we have. At The Sunday Story from Up First, you will have the chance to work with some of the best reporters and correspondents across NPR and our member stations. Each week on Sundays in the Up First podcast, we do a deep dive into a single story or topic. We work collaboratively with every desk in NPR’s newsroom to bring the best reporting to NPR’s largest news podcast audience. Our goal when we work with an intern is to provide them an opportunity to lead production on an episode from start to finish. So, by the end of the rotation with The Sunday Story team, you should have a lead producer credit on at least one episode of the show to add to your portfolio. This is an NPR editorial role covered under the terms of the NPR Ethics Handbook. All editorial staff are bound by this guidance. Editorial staff is defined as staff members who play a role in shaping the journalistic or creative direction of NPR's content, including events. Responsibilities Conduct research for stories we’re working on Contribute to interview and script preparation Log taped interviews and/or correct computer-aided transcriptions Book guests and arrange interviews via phone, Zoom, tape syncs, ISDN, etc. Provide ideas and feedback at pitch and editorial meetings Write digital copy for NPR.org and social media Mix and score audio for episodes and promos Assist in fact-checking Give feedback on unfinished episodes in group edits Find archival tape for episodes Monitor team inboxes and social media accounts for feedback from listeners for ideas to pitch or feedback to heed. All work of the intern is to be performed under the close supervision of the host teams The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time. Qualifications Excellent writing, research, and analytical skills. Knowledge of, or at least a keen interest, in economics and/or current events. Knowledge and comfort with a Digital Audio Workstation (ProTools preferred but not required) Professional phone presence for when representing the shows while guest booking. Ability to multitask: You will be asked to do many things at once and must be able to allocate your time efficiently. Ability to work independently, quickly, and accurately, while under deadline pressure. Web skills, including knowledge of basic web publishing software and social media strategy basics. Ability to remain calm and communicate clearly on tight deadlines and in remote/virtual work environments. Application Requirements Resume Cover Letter Tell us why Planet Money and The Sunday Story? How will this internship serve your longer-term career goals? If you don’t know what those are yet, be honest, and tell us how this internship will help you in general. Show us your writing style and give us a sense that you listen to the shows. Choose a recent episode or either podcast and imagine you had been in the pitch meeting for it. What would you personally based on your experience and knowledge and interests have proposed we add or change or remove from the episode and why? We deeply value constructive criticism. It’s a part of the job. Let us have it as you would on the job, which is to say, with kindness, care and actionable directness. Be sure to tell us if there’s anything we might not know from your resume about your background, interests or skills that could help us do better work. In your letter, please include the following: Writing OR (<5 min) Audio Sample Education Requirements Must be a current student in an accredited degree program or a recent graduate of no more than 12 months from the month of the start of the internship. Work Location (b) on-site at an NPR facility, based on the availability of desks and approval from NPR; or (c) a combination of both. Regardless of where you choose to work from, you may be expected to travel to other locations from time to time to perform the duties of your position. Job Type This is a full-time, non-exempt internship. Schedule This is a full-time internship with a standard schedule of Monday through Friday. The below schedule is flexible as agreed upon between you and your manager. At Planet Money: 10:00 AM to 6:00 PM ET At The Sunday Story: 9:00 AM to 5:00 PM ET Compensation Hourly Rate The U.S.-based anticipated hourly rate for this opportunity is $20.00 per hour. The range displayed reflects the minimum and maximum hourly rate NPR expects to provide for new hires for the position across all US locations. NPR Benefits: NPR offers interns a robust package of benefits and resources designed to foster their professional development and support their overall well-being. Interns are eligible to make elective contributions to the NPR 403(b) retirement plan. As an intern, you have access to Transit Commuter benefits through HealthEquity, which allow you to set aside pre tax funds for eligible commuting expenses. You are also eligible for membership with the Signal Financial Federal Credit Union, giving you access to a range of financial services and resources. At our DC Headquarters, interns enjoy free access to on-site Wellness Center, free fitness center membership, secure bike facilities, garage parking, and onsite cafeteria. Other benefits include the Employee Assistance Program with up to six face-to-face counseling sessions per issue, Global Guardian worldwide assistance, and Business Travel Accident coverage. Additionally, interns working 30 or more hours per week receive holiday pay for 10 observed holidays plus one floating holiday per year and accrue 3.08 hours of sick leave each pay period with no waiting period. NPR also supports career growth and work-life balance through professional development opportunities, flexible work hours, and telecommuting options. Does this sound like you? If so, we want to hear from you. #LI-Remote The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations. NPR Pay Range $20—$20 USD NPR is an Equal Opportunity Employer. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal – to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law. If you are a person with a disability needing assistance with the application process, please reach out to employeerelations@npr.org. You may read NPR’s privacy policy to learn about how NPR may handle information you submit with any application. Want more NPR? Explore the stories behind the stories on our NPR Extra blog. Get social with NPR Extra on Facebook and Instagram. Find more career opportunities at NPR.org/careers.", "summaryDescription" : "Planet Money & The Sunday Story Internship - Fall 2026 at NPR. Skills: Podcast production, Audio editing, Researching stories. Conduct research for stories. Contribute to interview preparation", "postedDate" : "2026-06-11T20:57:31.008", "createdAt" : "2026-06-11T20:57:31.008", "lastUpdated" : "2026-06-14T04:29:55.957", "ingestTimestamp" : "2026-06-11T20:57:31.008", "mongoId" : "6a2aa74874d8ee00a06bd16d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 20000, "salaryAnnualMax" : 30000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Audio mixing", "Tape logging", "Transcription correction", "Podcast production", "Audio editing", "Researching stories", "Narrative editing", "Scoring audio", "Fact-checking", "Guest booking", "Interview preparation", "Script preparation", "Tape gathering", "Assessing pitches", "Writing drafts", "Assembling drafts", "Social media strategy", "Journalism", "Multimedia", "Podcasting", "Narrative podcasting", "Longform podcasting", "Public radio", "News production", "Economics", "Current events" ], "skillCount" : 26, "jobCategory" : "other", "jobSubcategory" : "planet-money---nplmny", "dataQualityScore" : 0.8888889, "_score" : 848.24835, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3079f6f292fd229c0367be", "title" : "AI Researcher", "company" : "Hume AI", "industry" : "Technology", "salary" : { "min" : 180000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States", "Remote", "San Jose", "California", "United States" ], "timestamp" : "2026-06-16T14:13:35.622", "fingerprint" : "f71a4c60e94c23187f0ef079f69aede9a9c4fe796cbb9b7e31a7d55f93fe90c4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/humeai/jobs/4775962008", "externalId" : "4775962008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, PyTorch", "professionalSkills" : [ "Model training", "Model fine-tuning", "Data collection", "Data storage", "Data preprocessing", "Data analysis", "Software systems", "Distributed model training", "Model inference", "Benchmarking" ], "hardSkillsList" : [ "Speech-language models", "Audio models" ], "hardSkills" : [ { "name" : "Speech-language models", "level" : "intermediate" }, { "name" : "Audio models", "level" : "intermediate" } ], "majorSkills" : "AI Research, Speech-Language Models, Audio Models", "majorSkillsList" : [ "AI Research", "Speech-Language Models", "Audio Models" ], "coreResponsibilities" : "Build out software systems, Support distributed model training, Support model inference, Support benchmarking, Support massive-scale data collection, Support data storage, Support data preprocessing, Support data analysis, Solve AI research problems", "teamCollaboration" : "Work with our team", "domainKnowledge" : "Human values in AI; Empathic AI; Speech-language models; Audio understanding models", "domainList" : [ "human-values-in-ai", "empathic-ai", "speech-language-models", "audio-understanding-models" ], "domainSpecificKnowledge" : [ "Human values in AI", "Empathic AI", "Speech-language models", "Audio understanding models" ], "innovationCreativity" : "R&D projects", "qualificationsBasic" : "2+ years of experience in a research role, Experience writing production-ready code, 2+ years of experience contributing to model training/fine-tuning", "qualificationsPreferred" : "PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Hume AI is seeking talented AI researchers interested in working with our team to build state-of-the-art speech-language models (SLMs). Our new SLM training method—reinforcement learning from human expression (RLHE)—learns human preferences from behavior in millions of audio and video recordings, making SLMs superhumanly helpful, interesting, funny, eloquent, honest, and altruistic. Join us in the heart of New York City and contribute to our endeavor to ensure that AI is guided by human values, the most pivotal challenge (and opportunity) of the 21st century. About Us Hume AI is a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being. As the first company to release speech language models, we’re focused on expanding our research to encompass audio understanding models and evaluation platforms for enterprises. Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature, and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI (www.thehumeinitiative.org). You can learn more about us on our website (https://hume.ai/) and read about us in WIRED, Forbes, and Venturebeat. About the Role We are looking for talented researchers with relevant publications, 2+ years of experience in a research role in industry, and/or a proven track record of contributions to open source language, audio, or video models. (A PhD is neither necessary nor sufficient.) We're looking for someone excited to work with our team to build state-of-the-art audio models and evaluation tools. In this role, you will build out software systems that support distributed model training, inference, and benchmarking as well as massive-scale data collection, storage, preprocessing, and analysis. You will be working to solve some of today’s most exciting AI research problems at industry scale. Requirements Expertise in the Python ecosystem and popular ML libraries and tools (e. g. PyTorch) Experience writing robust and maintainable production-ready code Comfort iterating quickly on new and uncertain research directions 2+ years of experience contributing to the training and/or fine-tuning of models with large-scale datasets of text, audio, image, and/or video data (predictive or generative) Application Note Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied within the past 6 months, only your initial submission will be considered. Annual Salary $180,000—$350,000 USD", "summaryDescription" : "AI Researcher at Hume AI. Skills: AI Research, Speech-Language Models, Audio Models. Build out software systems. Support distributed model training", "postedDate" : "2026-06-16T01:18:53.527", "createdAt" : "2026-06-16T01:18:53.527", "lastUpdated" : "2026-06-16T14:13:35.622", "ingestTimestamp" : "2026-06-16T01:18:53.527", "mongoId" : "6a3079f6f292fd229c0367be", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 350000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Speech-language models", "Audio models", "AI Research", "Speech-Language Models", "Audio Models", "Model training", "Model fine-tuning", "Data collection", "Data storage", "Data preprocessing", "Data analysis", "Software systems", "Distributed model training", "Model inference", "Benchmarking", "Human values in AI", "Empathic AI", "Audio understanding models" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 848.18225, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16291b58b93c861e959dbd", "title" : "Design Co-op (Fall 2026)", "company" : "HDR", "salary" : { "min" : 45000.0, "max" : 60000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level co-op positions in Canada, adjusted for London, Ontario's cost of living and the typical compensation for design roles in engineering and architecture firms." }, "location" : "Canada-Ontario-London", "locations" : [ "Canada-Ontario-London" ], "timestamp" : "2026-06-16T05:00:16.377", "fingerprint" : "a3c87dee383cbc9328b612cb317ed9d908e2c75b0118306ad9dfe6eb299b3dc3", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783814", "externalId" : "783814", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.9836747,-81.2496068" } ], "locationText" : "London, Ontario, Canada", "employmentType" : "FULL_TIME", "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Currently enrolled in undergraduate or graduate program, Attention to detail, Problem-solving skills, Communication skills, Basic Microsoft Office skills, Commitment to employee-owned culture", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Must be currently enrolled in an undergraduate or graduate program Attention to detail Must possess strong problem-solving and communication skills Basic Microsoft Office skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. At HDR, the health and safety of our employees is of the upmost importance. In accordance with local safety, health, and environmental legislation, HDR is committed to developing, maintaining, and enforcing proactive safe work policies, procedures, and standards. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable legislation, we are committed to meeting the accessibility needs of persons with disabilities. Candidates with disabilities may request reasonable accommodation throughout the recruitment and selection process by contacting our Human Resources team. HDR is a certified Living Wage Employer in Ontario, British Columbia, and Alberta. Canada-Ontario-London", "summaryDescription" : "Design Co-op (Fall 2026) at HDR", "createdAt" : "2026-06-14T21:30:56.505", "lastUpdated" : "2026-06-16T05:00:16.377", "ingestTimestamp" : "2026-06-14T21:30:56.505", "mongoId" : "6a16291b58b93c861e959dbd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 847.81604, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2ccc1d74d8ee00a0a26825", "title" : "Structural Co-op (Fall 2026)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 21.0, "max" : 31.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada-British Columbia-Vancouver", "locations" : [ "Canada-British Columbia-Vancouver" ], "timestamp" : "2026-06-15T22:58:28.604", "fingerprint" : "7695779f81f58699d8ff407567eea358ec22d2e92b4f642c4d1ae03139853454", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784535", "externalId" : "784535", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "Steel structures, Concrete structures, Mass timber structures, Masonry structures", "professionalSkills" : [ "Engineering techniques", "Engineering procedures", "Design calculations" ], "hardSkillsList" : [ "Structural design" ], "hardSkills" : [ { "name" : "Structural design", "level" : "intermediate" } ], "majorSkills" : "Structural engineering, Building structures", "majorSkillsList" : [ "Structural engineering", "Building structures" ], "coreResponsibilities" : "Offer real-world experience, Connect with college graduates, Connect with company leaders, Apply standard engineering techniques, Apply standard engineering procedures, Perform assignments under supervision, Conduct supervised design calculations, Perform element design, Produce sketches, Produce drawings, Document review, Document interpretation, Participate in field reviews, Participate in field investigations, Prepare field reports", "teamCollaboration" : "Structural team; Subject matter experts", "domainKnowledge" : "Building structural systems; Steel structures; Concrete structures; Masonry structures", "domainList" : [ "building-structural-systems", "steel-structures", "concrete-structures", "masonry-structures" ], "domainSpecificKnowledge" : [ "Building structural systems", "Steel structures", "Concrete structures", "Masonry structures" ], "toolProficiency" : [ "Revit", "AutoCAD", "Bluebeam Revu", "SAP2000", "ETABS", "SAFE", "RISA3D", "RAM" ], "continuousLearning" : "Mentorship; Learning opportunities", "qualificationsBasic" : "2 years completed toward degree, 3.0+ GPA, Knowledge of software packages, CAD software skills, Structural analytical program skills, Knowledge of engineering principles, Experience working with Engineering firm, Independent learner, Capable of quickly learning new skills, Successful working in a team environment, Keen observer, Attention to detail", "qualificationsPreferred" : "Revit, AutoCAD, Bluebeam Revu, SAP2000, ETABS, SAFE, RISA3D, RAM", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. HDR is currently seeking applications from dynamic and eager to learn engineering students for a four- or eight-month placement or longer at our downtown Vancouver office. In this role, the successful candidate will work on a large variety of projects associated with building structural systems for different building and non-building structures. The student will work concurrently on multiple projects that are in various stages of design and construction. This diverse array of projects and tasks will provide the student with excellent opportunities to learn about all aspects of the building engineering industry. HDR will also ensure that the successful candidate is well supported and put in a position to succeed. They will be working as an important member of our structural team, who will provide them with mentorship to support their growth and development. Additionally, the student will also have the opportunity to work with and learn from several of HDR's subject matter experts throughout the company. Job Responsibilities Responsibilities will vary in scope depending on project mix. In the role of Structural Co-op, we'll count on you to: Offer real-world experience on exciting projects Connect with recent college graduates and our company leaders through mentoring and young professionals' programs Apply standard engineering techniques and procedures Perform assignments under the direct supervision of a professional or Project Manager Conduct supervised design calculations and element design (with a focus on calculations associated with steel, concrete, mass timber and masonry structures). Produce sketches and drawings to communicate design concepts. Document review and interpretation to support construction activities. Participate in field reviews or investigations to support construction activities. Prepare field reports based on onsite observations. Perform other duties as needed Preferred Qualifications Prefer 2 years completed toward degree with 3.0+ GPA Demonstrated knowledge of software packages related to field of study/industry Skilled in using CAD software's such as Revit, AutoCAD, and Bluebeam Revu. Skilled in using any structural analytical program like SAP2000, ETABS, SAFE, RISA3D, RAM, and similar apps Knowledge of engineering principles associated with building structural system for steel, concrete, and masonry structures Past experience working with an Engineering firm. Independent learner who is capable of quickly learning new skills. Successful working in a team environment. Keen observer with a strong attention to detail. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) The hourly pay range for Vancouver: %2421.00- %2431.00", "summaryDescription" : "Structural Co-op (Fall 2026) at HDR. Skills: Structural engineering, Building structures. Offer real-world experience. 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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. At HDR, the health and safety of our employees is of the upmost importance. In accordance with local safety, health, and environmental legislation, HDR is committed to developing, maintaining, and enforcing proactive safe work policies, procedures, and standards. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable legislation, we are committed to meeting the accessibility needs of persons with disabilities. Candidates with disabilities may request reasonable accommodation throughout the recruitment and selection process by contacting our Human Resources team. HDR is a certified Living Wage Employer in Ontario, British Columbia, and Alberta. Canada-Ontario-Toronto", "summaryDescription" : "Traffic Co-op (Fall 2026) at HDR", "createdAt" : "2026-06-14T18:52:56.108", "lastUpdated" : "2026-06-16T02:29:19.613", "ingestTimestamp" : "2026-06-14T18:52:56.108", "mongoId" : "6a16291c58b93c861e959f59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 839.85254, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2aa74774d8ee00a06bd150", "title" : "All Things Considered & National Desk Internship - Fall 2026", "company" : "NPR", "salary" : { "min" : 36000.0, "max" : 44000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for entry-level internships in the media industry in Washington D.C., adjusted for company size and industry." }, "location" : "Washington, District of Columbia, United States", "locations" : [ "Washington", "District of Columbia", "United States" ], "timestamp" : "2026-06-14T19:23:06.984", "fingerprint" : "9efabe6e49b968343e0a2189ee03855a1d8964e24eef9185416b933735a0ea79", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nationalpublicradioinc/jobs/4704438005", "externalId" : "4704438005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "INTERNSHIP", "professionalSkills" : [ "Radio journalism" ], "hardSkillsList" : [ "Research", "Interviewing", "Audio mixing", "Reporting", "Digital production" ], "hardSkills" : [ { "name" : "Research", "level" : "intermediate" }, { "name" : "Interviewing", "level" : "intermediate" }, { "name" : "Audio mixing", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Digital production", "level" : "intermediate" } ], "majorSkills" : "Journalism, Reporting, Production", "majorSkillsList" : [ "Journalism", "Reporting", "Production" ], "coreResponsibilities" : "Pitch stories, Conduct research, Pre-interview guests, Mix stories, Assist with production, Book studios, Assist with live program, Log recordings, Obtain archival tape, Assist with basic audio, Attend editorial meeting, Pitch story ideas, Assist NPR staff reporters, Assist editors, Assist producers, Assist hosts, Assist freelancers, Learn ethical standards, Learn journalism practices, Develop radio reporting skills, Develop producing skills, Conduct research for editors, Conduct research for reporters, Build clipboards, Log tape, Write digital posts", "teamCollaboration" : "Work alongside program staff; Work with National Desk", "domainKnowledge" : "NPR Ethics Handbook", "domainList" : [ "npr-ethics-handbook" ], "domainSpecificKnowledge" : [ "NPR Ethics Handbook" ], "communicationSkills" : "Guest booking; Story pitching", "documentationSkills" : "Write digital posts", "continuousLearning" : "Professional development opportunities", "problemSolvingSkills" : "Research", "qualificationsBasic" : "Current student or recent graduate, Keen interest in journalism, Specific interest in public media, Some journalism experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "OVERVIEW A thriving, mission-driven multimedia organization, NPR produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation. The NPR audience values information, creativity, curiosity, and social responsibility – and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide. Across our organization, we’re building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR. This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR. Internship Program Duration: October 5th, 2026 - April 16th, 2027 Application Instructions: Applications close on Sunday, June 21st at 11:59 pm ET. Intro to Position This internship consists of two parts. Each part will be hosted by a different team. All Things Considered, October-January: All Things Considered is NPR’s flagship afternoon news program. Interns are actively involved in the production of the daily program. They pitch stories, conduct research, pre-interview guests, mix stories, help with production of podcasts and book studios at NPR and remote locations. They work alongside program staff and assist with the live program. INTERN RESPONSIBILITIES Conducts research for daily stories and long-term projects Books guests and arranges studios for news and feature interviews Logs recordings of interviews and events Obtains archival tape and assists with basic audio Attends daily editorial meeting and pitches story ideas Helps with digital production National Desk, January-April: During the second half of the internship, the intern will work with NPR’s National Desk. Ideal for those who aspire to be a reporter in public media, National Desk interns are given real-world, hands-on responsibilities from day one. Working alongside top professionals in the field, interns conduct meaningful work, such as researching, pitching, and reporting their own stories, and may also have the opportunity to accompany staff reporters and producers on assignments. Our reporters and editors are among the best in the business, and the National Desk is a great place to learn the craft of reporting. The internship is also a lot of fun. INTERN RESPONSIBILITIES Assisting NPR staff reporters, editors, producers, hosts and freelancers in the creation of news programming Learning NPR News’ radio journalism ethical standards and practices Developing radio reporting and producing skills that will prepare the intern for careers at NPR member stations and at NPR itself Conduct research for editors and reporters Build clipboards, log tape and write digital posts All work of the intern is to be performed under the close supervision of the host teams The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time. This is an NPR editorial role covered under the terms of the NPR Ethics Handbook. All editorial staff are bound by this guidance. Editorial staff is defined as staff members who play a role in shaping the journalistic or creative direction of NPR's content, including events. Qualifications A keen interest in journalism Specific interest in public media Some journalism experience (such as an internship at a local public radio station or a job at a college radio station) Application Requirements Resume Cover Letter Writing Sample Education Requirements Must be a current student in an accredited degree program or a recent graduate of no more than 12 months from the month of the start of the internship. Work Location & Requirements On-site (Non-union or SAG AFTRA): This is an on-site role based in Washington, D. C. Job Type This is a full-time, non-exempt internship. Schedule This is a full-time internship (40 hours per week) generally Monday through Friday, 9 a. m. - 5 p.m., but which can be flexible around the intern’s schedule and news demands. Compensation Hourly Rate The U.S.-based anticipated hourly rate for this opportunity is $20.00 per hour. The range displayed reflects the minimum and maximum hourly rate NPR expects to provide for new hires for the position across all US locations. NPR Benefits: NPR offers interns a robust package of benefits and resources designed to foster their professional development and support their overall well-being. Interns are eligible to make elective contributions to the NPR 403(b) retirement plan. As an intern, you have access to Transit Commuter benefits through HealthEquity, which allow you to set aside pre tax funds for eligible commuting expenses. You are also eligible for membership with the Signal Financial Federal Credit Union, giving you access to a range of financial services and resources. At our DC Headquarters, interns enjoy free access to on-site Wellness Center, free fitness center membership, secure bike facilities, garage parking, and onsite cafeteria. Other benefits include the Employee Assistance Program with up to six face-to-face counseling sessions per issue, Global Guardian worldwide assistance, and Business Travel Accident coverage. Additionally, interns working 30 or more hours per week receive holiday pay for 10 observed holidays plus one floating holiday per year and accrue 3.08 hours of sick leave each pay period with no waiting period. NPR also supports career growth and work-life balance through professional development opportunities, flexible work hours, and telecommuting options. Does this sound like you? If so, we want to hear from you. #LI-ONSITE The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations. NPR Pay Range $20—$20 USD NPR is an Equal Opportunity Employer. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal – to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law. If you are a person with a disability needing assistance with the application process, please reach out to employeerelations@npr.org. You may read NPR’s privacy policy to learn about how NPR may handle information you submit with any application. Want more NPR? Explore the stories behind the stories on our NPR Extra blog. Get social with NPR Extra on Facebook and Instagram. Find more career opportunities at NPR.org/careers.", "summaryDescription" : "All Things Considered & National Desk Internship - Fall 2026 at NPR. Skills: Journalism, Reporting, Production. Pitch stories. Conduct research", "postedDate" : "2026-06-11T22:33:37.160", "createdAt" : "2026-06-11T22:33:37.160", "lastUpdated" : "2026-06-14T19:23:06.984", "ingestTimestamp" : "2026-06-11T22:33:37.160", "mongoId" : "6a2aa74774d8ee00a06bd150", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 44000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Research", "Interviewing", "Audio mixing", "Reporting", "Digital production", "Journalism", "Production", "Radio journalism", "NPR Ethics Handbook" ], "skillCount" : 9, "jobCategory" : "other", "jobSubcategory" : "all-things-considered---newatc", "dataQualityScore" : 0.8888889, "_score" : 826.56476, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7aad74d8ee00a09465b7", "title" : "AI Intern - Fall Start", "company" : "UPSIDE Foods", "industry" : "Food & Beverage", "salary" : { "min" : 48000.0, "max" : 64000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an AI Intern in Emeryville, United States, adjusted for entry-level seniority and the food & beverage industry." }, "location" : "Emeryville, California, United States", "locations" : [ "Emeryville", "California", "United States" ], "timestamp" : "2026-06-15T09:44:18.326", "fingerprint" : "71895e47cc66e34e308138cc8fd2ab4b11efbcfd66ce20ac28b39c9a9941a17c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/memphismeats/jobs/7770551003", "externalId" : "7770551003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Emeryville", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.8314089,-122.2865266" } ], "locationText" : "Emeryville, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, SQL, Git, Docker, DevOps, LLM, AWS", "professionalSkills" : [ "Data exploration", "Data pipelines", "AI workflows", "API integrations", "Data engineering", "Stakeholder design", "Use case development" ], "hardSkillsList" : [ "Data preprocessing", "Model validation", "Data analysis", "AI tool performance", "Time-series data mining", "Algorithm development" ], "hardSkills" : [ { "name" : "Data preprocessing", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "AI tool performance", "level" : "intermediate" }, { "name" : "Time-series data mining", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, AI, AI agents", "majorSkillsList" : [ "Data Science", "Machine Learning", "AI", "AI agents" ], "coreResponsibilities" : "Collaborate to envision AI-first workflows, Collaborate to envision AI agents, Explore R&D data landscape, Explore MFG data landscape, Develop custom data pipelines, Design AI/ML workflows, Implement AI/ML workflows, Integrate AI solutions, Leverage dashboards, Leverage lower-tech solutions, Work closely with IT, Work closely with Data teammates", "teamCollaboration" : "Cross-functional R&D partners; Enterprise Intelligence team; Bioprocess engineers; Cellular-biology engineers; Manufacturing staff", "projectManagementSkills" : [ "MVPs", "Feedback-improvement loops" ], "domainKnowledge" : "Bioprocessing; Cell biology; Mammalian cell biology; Avian cell biology; Cultivated meat", "domainList" : [ "bioprocessing", "cell-biology", "mammalian-cell-biology", "avian-cell-biology", "cultivated-meat" ], "domainSpecificKnowledge" : [ "Bioprocessing", "Cell biology", "Mammalian cell biology", "Avian cell biology", "Cultivated meat" ], "toolProficiency" : [ "Slack", "Jupyter", "Claude Code" ], "communicationSkills" : "Visualizations; Kinetics intuition", "innovationCreativity" : "AI deployments", "problemSolvingSkills" : "Data exploration; Data analysis; Troubleshoot", "specialRequirements" : "On-site 3-days/week", "outcomesObjectives" : "Deploy three applications; Drive meaningful value; Enable future of food; Drive long term business value", "qualificationsBasic" : "Proficiency in Data Science, Proficiency in Machine Learning, Proficiency in AI, Python, SQL, Git, Docker, DevOps principles", "qualificationsPreferred" : "Master's program in AI, Master's program in computer science, Master's program in data science, Experience in production environments", "workSiteFlexibility" : "Hybrid", "rawDescription" : "About us: Based in Berkeley, CA, UPSIDE Foods grows meat, poultry, and seafood directly from real animal cells. These products are not vegan or vegetarian—they are delicious meat, made without the need to raise and slaughter billions of animals. In doing so, the company aims to address some of the most pressing environmental, animal welfare, and public health challenges, while still giving people the meat they love. Founded as the world’s first cultivated meat company in 2015, UPSIDE Foods (formerly Memphis Meats) has achieved numerous industry-defining milestones, including being the first company to produce multiple species of meat (beef, chicken, and duck) and to sell a cultivated meat product in the United States. The company believes that people shouldn’t have to choose between the foods they love and a thriving planet, and is working to build a better food system with access to delicious, humane, and sustainable meat, poultry, and seafood. UPSIDE Foods has won various industry awards, including New York Times’ Good Tech Awards, FastCo’s Next Big Thing in Tech and World Changing Ideas Awards, and the Best and Brightest Companies to Work For in the Nation by the National Association for Business Resources. UPSIDE Foods has raised more than $600 million in funding from a diverse group of leading U. S. and global investors, including top-tier venture capital firms, sovereign investment funds, strategic food and agriculture partners, and prominent technology and sustainability investors. About this internship: At UPSIDE Foods, we’re turning the promise of cultivated meat into a delicious, nutritious reality, and we’re using AI to do it, from faster R&D to scaled manufacturing and commercial. As an AI Intern within the Enterprise Intelligence team, you’ll join a tight‑knit group of data scientists and IT & software developers who partner with our sci/tech teams to use advanced computing to make meat. Your work will advance our AI portfolio and become central to the worldwide scale of cultivated meat, contributing to a sustainable global food system. This AI Internship is a chance to deliver full life-cycle AI deployments, from stakeholder design to shipping new services. You’ll start with data exploration and white‑boarding use‑cases with stakeholders. You might mine time-series data for hidden predictors, or engineer robust pipelines in Python and SQL, or develop AI agentic workflows to accelerate efficiencies. Expect to juggle API integrations, AWS micro‑services, and data‑engineering touchpoints as you weave LLM‑powered chat, search, and automation features directly into existing UPSIDE infrastructure. You’ll partner with biologists to ensure your features honor metabolic reality, iterate with manufacturing engineers to translate raw sensor streams in algorithms and push models across scales, and ship crisp visualizations that make complex kinetics intuitive for non‑experts. You’ll own meaningful projects from conception to continuous deployment and feedback loops that drive long term business value. This sixteen week internship will give you a front‑row seat to how AI integrates with mammalian and avian cell biology, and by the end, you’ll have deployed three or more applications that drive meaningful value and enable the future of food. Responsibilities include: Collaborate with stakeholders to envision and design AI-first workflows and AI agents that are teammates for UPSIDErs. Explore our R&D and MFG data landscape in search of predictive data and insights, and develop custom data pipelines where needed. Design and implement AI/ML workflows from data preprocessing to prediction, applicable across bioreactor scales and species. Integrate AI solutions within organizational tools (e.g., Slack, Jupyter) and data sources, and leverage dashboards or lower-tech solutions when appropriate. Work closely with IT and Data teammates to ensure infrastructure support. This internship can be either 20 hrs/wk concurrent with school or 40 hrs/wk full time. Please indicate your preference in your cover letter accordingly. About you: Strong ownership instincts. You’re able to drive projects forward and navigate messy cross-functional objectives. Proficiency in Data Science, Machine Learning, and AI. You know how to validate models, analyze data, and assess AI tool performance. Strong familiarity with modern AI-driven software dev: Python, SQL, git, Docker, DevOps principles, and frontier AI coding, e. g. Claude Code. Start up mentality. You’re able to gather stakeholder requirements and quickly translate them into MVPs and recur feedback-improvement loops. Familiarity with bioprocessing and cell biology concepts. Must be able to be on-site 3-days a week at our facility near Berkeley, CA, for full time internships. Preference for experience in production environments. You can interface APIs–both your own and otherwise, build in AWS (or equivalent), and can troubleshoot when something goes wrong. Preference for recent graduates or those doing a Master’s program in AI, computer science, or data science. Who you’ll work with: Our Enterprise Intelligence team, who has instrumented our manufacturing and R&D data, steward our data lake, and design models. Bioprocess and cellular‑biology engineers and manufacturing staff who will translate model outputs and visualizations into real‑world operations and interventions that boost cell growth, flavor, and yield. Cross‑functional R&D partners in analytics, product, and sensory science who rely on your insights to shape the next generation of cultivated meat. Leaders across the whole organization who are eager for LLM‑driven data exploration, literature or document review, and workflow acceleration. Compensation: $25/hr Length of internship: 16 weeks UPSIDE Foods is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Our company-wide mission is to create a product for everyone, so we are deeply committed to having teams and leaders that reflect this mission.", "summaryDescription" : "AI Intern - Fall Start at UPSIDE Foods. Skills: Data Science, Machine Learning, AI, AI agents. Collaborate to envision AI-first workflows. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. HDR is currently seeking applications from dynamic and eager to learn engineering students for a four- or eight-month placement or longer at our downtown Toronto office. In this role, the successful candidate will work on a large variety of projects associated with site-civil projects for different building and non-building facilities. The student will work concurrently on multiple projects that are in various stages of design and construction. This diverse array of projects and tasks will provide the student with excellent opportunities to learn about all aspects of the building engineering industry. HDR will also ensure that the successful candidate is well supported and put in a position to succeed. They will be working as an important member of our Site-Civil team, who will provide them with mentorship to support their growth and development. Additionally, the student will also have the opportunity to work with and learn from several of HDR's subject matter experts throughout the company. Job Responsibilities Responsibilities will vary in scope depending on project mix. In the role of Civil Co-op, we'll count on you to: Gain real-world experience on exciting projects Connect with recent college graduates and our company leaders through mentoring and young professionals programs Apply standard engineering techniques and procedures Assist the Senior/Intermediate Engineer with: Site studies, site designs, contract documentation preparation and graphic presentation Perform overall site layout, grading, utility layout and drainage Perform administrative duties associated with project management for civil/site projects Perform assignments under the direct supervision of a professional or Project Manager Perform other duties as needed Preferred Qualifications Prefer 2 years completed toward degree with 3.0+ GPA Demonstrated knowledge of software packages related to field of study/industry Familiarity with Bluebeam Revu, MicroStation and/or AutoCAD Familiarity with civil engineering software such as Bentley Concept Station and/or Autodesk Infraworks and Civil 3D; specialty civil platforms (e.g. Openflows) will considered a plus Past and related Co-op experience woking with an Engineering firm is a plus. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) The hourly pay range for Ontario: %2421.00- %2431.00", "summaryDescription" : "Civil Co-op (Fall 2026) at HDR. Skills: Site-Civil Design. Gain real-world experience. 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Focus on the goal, don't sacrifice quality. Mission Over Self - It's about the greater good; confident humility. Take ownership and accountability. Face the Brutal Truth - Transparency, honesty, big picture curiosity. Fearless decision making. Be a Good Person - Kindness, collaboration and teamwork. Peak Energy is committed to building a diverse and inclusive workforce. We strongly encourage women, people of color, and individuals from underrepresented groups to apply. We value skills, potential, and perspective over specific credentials. If you’re excited about this role but your experience doesn’t look perfect on paper, we still want to hear from you. Compensation & Benefits The hourly rate for this role is $30/hour. Join us to thrive in a supportive environment while making a meaningful impact in the energy sector! At Peak Energy Technologies Inc., we believe that a diverse and inclusive workplace makes us a more capable, innovative, and competitive company. We welcome people who represent diversity in their backgrounds, ethnicities, cultures, and experiences. Peak Energy Technologies Inc. is an equal opportunity employer, aiming to reach our company’s full potential by cultivating an inclusive workforce. 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At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 220 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. THE ROLE Mach's Fall 2026 — Engineering Co-op is open for future engineers and builders who want to work with us. Depending on your background and team placement, you might work on: - Autonomous systems — guidance, control, and navigation software for unmanned platforms - Embedded firmware and real-time software for flight and drive systems - Mechanical and structural design, manufacturing, and test of hardware components - Propulsion, energetics, or systems integration for new defense platforms - Tools, infrastructure, and simulations that accelerate engineering velocity WHAT WE'RE LOOKING FOR - Enrollment in a BS, MS, or PhD program in mechanical, aerospace, electrical, computer science, or a related engineering discipline - Intellectual curiosity and the drive to own problems end-to-end - Genuine interest in defense technology, national security, or the future of autonomous systems Disclosures This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license. Mach participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offers may vary based on (but not limited to) work experience, education and training, critical skills, and business considerations. Highly competitive equity grants are included in most offers and are considered part of Mach’s total compensation package. Mach offers benefits such as health insurance, retirement plans, and opportunities for professional development. Mach is an equal opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws. If you’d like to defend the American way of life, please reach out!", "summaryDescription" : "Engineering Co-op — Fall 2026 at Mach Industries. Skills: Autonomous systems, Embedded firmware, Mechanical design, Propulsion systems, Systems integration. Develop autonomous systems software. Develop embedded firmware", "createdAt" : "2026-06-14T09:17:13.810", "lastUpdated" : "2026-06-15T07:05:56.392", "ingestTimestamp" : "2026-06-14T09:17:13.810", "mongoId" : "6a2caff674d8ee00a09d8587", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 1800, "salaryAnnualMax" : 2100, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Autonomous systems", "Embedded firmware", "Mechanical design", "Propulsion systems", "Systems integration", "Defense technology", "National security", "Guidance", "Control", "Navigation", "Unmanned platforms", "Flight systems", "Drive systems", "New defense platforms", "Engineering velocity" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 811.5438, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 41703, "totalPages" : 835, "hasNext" : true, "hasPrevious" : false } }

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