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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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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. 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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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. 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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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. 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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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. Connect with college graduates", "createdAt" : "2026-06-14T21:53:31.906", "lastUpdated" : "2026-06-15T22:58:28.604", "ingestTimestamp" : "2026-06-14T21:53:31.906", "mongoId" : "6a2ccc1d74d8ee00a0a26825", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Structural design", "Structural engineering", "Building structures", "Engineering techniques", "Engineering procedures", "Design calculations", "Building structural systems", "Steel structures", "Concrete structures", "Masonry structures", "Revit", "AutoCAD", "Bluebeam Revu", "SAP2000", "ETABS", "SAFE", "RISA3D", "RAM" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2caff674d8ee00a09d8587", "title" : "Engineering Co-op — Fall 2026", "company" : "Mach Industries", "industry" : "Mach Vehicles", "salary" : { "min" : 1800.0, "max" : 2100.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Huntington Beach, CA", "locations" : [ "Huntington Beach, CA" ], "timestamp" : "2026-06-15T07:05:56.392", "fingerprint" : "ff347da6dc33d4b14300437d1ec9faa79f5575d244dbbffaf68d504819a38f5f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/mach/021b2c1d-5257-4dea-b06d-0c445de44d28/application", "externalId" : "021b2c1d-5257-4dea-b06d-0c445de44d28", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Huntington Beach", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6783336,-118.0000160" } ], "locationText" : "Huntington Beach, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Systems integration" ], "majorSkills" : "Autonomous systems, Embedded firmware, Mechanical design, Propulsion systems, Systems integration", "majorSkillsList" : [ "Autonomous systems", "Embedded firmware", "Mechanical design", "Propulsion systems", "Systems integration" ], "coreResponsibilities" : "Develop autonomous systems software, Develop embedded firmware, Develop real-time software, Design mechanical components, Manufacture hardware components, Test hardware components, Develop propulsion systems, Develop energetics systems, Develop systems integration, Develop engineering tools, Develop engineering infrastructure, Develop engineering simulations", "domainKnowledge" : "Defense technology; National security; Autonomous systems; Guidance; Control; Navigation; Unmanned platforms; Flight systems; Drive systems; New defense platforms; Engineering velocity", "domainList" : [ "defense-technology", "national-security", "autonomous-systems", "guidance", "control", "navigation", "unmanned-platforms", "flight-systems", "drive-systems", "new-defense-platforms", "engineering-velocity" ], "domainSpecificKnowledge" : [ "Defense technology", "National security", "Autonomous systems", "Guidance", "Control", "Navigation", "Unmanned platforms", "Flight systems", "Drive systems", "New defense platforms", "Engineering velocity" ], "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Access to export-controlled information, E-Verify participant", "qualificationsBasic" : "Enrollment in BS, MS, or PhD program, Intellectual curiosity, Drive to own problems end-to-end, Genuine interest in defense technology", "qualificationsPreferred" : "Authorization to receive software or technology controlled under U.S. export control laws and regulations without sponsorship for an export license", "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT MACH INDUSTRIES Founded in 2022, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. 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, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ccc1d74d8ee00a0a26823", "title" : "Civil Co-op (Fall 2026)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 21.0, "max" : 31.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada-Ontario-Toronto", "locations" : [ "Canada-Ontario-Toronto" ], "timestamp" : "2026-06-15T09:45:57.917", "fingerprint" : "9fb3b655e5b5ae0497badfff0eff7c85780e82daeff676f64378ba451c0373b3", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784761", "externalId" : "784761", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Civil Engineering", "professionalSkills" : [ "Site studies", "Site designs", "Contract documentation", "Graphic presentation", "Site layout", "Utility layout", "Drainage design", "Project management" ], "hardSkillsList" : [ "Engineering techniques", "Engineering procedures" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Engineering techniques", "level" : "intermediate" }, { "name" : "Engineering procedures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Site-Civil Design", "majorSkillsList" : [ "Site-Civil Design" ], "coreResponsibilities" : "Gain real-world experience, Connect with graduates and leaders, Apply standard engineering techniques, Assist with site studies, Assist with site designs, Assist with contract documentation preparation, Assist with graphic presentation, Perform overall site layout, Perform grading, Perform utility layout, Perform drainage, Perform administrative duties, Perform assignments under supervision, Perform other duties", "teamCollaboration" : "Site-Civil team; Subject matter experts", "domainKnowledge" : "Building engineering; Site-civil projects; Digital age infrastructure", "domainList" : [ "building-engineering", "site-civil-projects", "digital-age-infrastructure" ], "domainSpecificKnowledge" : [ "Building engineering", "Site-civil projects", "Digital age infrastructure" ], "toolProficiency" : [ "Bluebeam Revu", "MicroStation", "AutoCAD", "Bentley Concept Station", "Autodesk Infraworks", "Civil 3D", "Openflows" ], "documentationSkills" : "Contract documentation", "continuousLearning" : "Mentorship programme", "innovationCreativity" : "Novel ideas", "qualificationsBasic" : "2 years completed toward degree, 3.0+ GPA", "qualificationsPreferred" : "Past Co-op experience, Familiarity with Bluebeam Revu, Familiarity with MicroStation, Familiarity with AutoCAD, Familiarity with Bentley Concept Station, Familiarity with Autodesk Infraworks, Familiarity with Civil 3D, Familiarity with specialty civil platforms", "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 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. Connect with graduates and leaders", "createdAt" : "2026-06-14T08:51:12.744", "lastUpdated" : "2026-06-15T09:45:57.917", "ingestTimestamp" : "2026-06-14T08:51:12.744", "mongoId" : "6a2ccc1d74d8ee00a0a26823", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Engineering techniques", "Engineering procedures", "Mentorship", "Site-Civil Design", "Site studies", "Site designs", "Contract documentation", "Graphic presentation", "Site layout", "Utility layout", "Drainage design", "Project management", "Building engineering", "Site-civil projects", "Digital age infrastructure", "Bluebeam Revu", "MicroStation", "AutoCAD", "Bentley Concept Station", "Autodesk Infraworks", "Civil 3D", "Openflows" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "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. 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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. 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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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, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ccc9e74d8ee00a0a27bc0", "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-Ontario-Toronto", "locations" : [ "Canada-Ontario-Toronto" ], "timestamp" : "2026-06-15T09:23:56.011", "fingerprint" : "ceaa5461867feeccd91481f5e6b06c52e9aaa47d8e4bac0929e81e8e0aab1731", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784464", "externalId" : "784464", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "Revit, AutoCAD, Bluebeam Revu, SAP2000, ETABS, SAFE, RISA3D, RAM", "professionalSkills" : [ "Engineering techniques", "Engineering procedures", "Design calculations", "Element design" ], "hardSkillsList" : [ "Structural analysis", "Steel structures", "Concrete structures", "Mass timber structures", "Masonry structures" ], "hardSkills" : [ { "name" : "Structural analysis", "level" : "intermediate" }, { "name" : "Steel structures", "level" : "intermediate" }, { "name" : "Concrete structures", "level" : "intermediate" }, { "name" : "Mass timber structures", "level" : "intermediate" }, { "name" : "Masonry structures", "level" : "intermediate" } ], "majorSkills" : "Structural engineering, Building systems", "majorSkillsList" : [ "Structural engineering", "Building systems" ], "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 investigations, Prepare field reports", "teamCollaboration" : "Structural team mentorship; Work with 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" : [ "CAD software", "Structural analytical program" ], "continuousLearning" : "Mentorship", "qualificationsBasic" : "Completed 2 years toward degree, 3.0+ GPA", "qualificationsPreferred" : "Knowledge of software packages, Independent learner, Capable of quickly learning new skills, Successful working in a team environment, Keen observer, Attention to detail", "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 Toronto 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 Ontario: %2421.00- %2431.00", "summaryDescription" : "Structural Co-op (Fall 2026) at HDR. Skills: Structural engineering, Building systems. Offer real-world experience. 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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. 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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Participate in architectural design", "createdAt" : "2026-06-14T02:17:02.817", "lastUpdated" : "2026-06-15T08:06:08.576", "ingestTimestamp" : "2026-06-14T02:17:02.817", "mongoId" : "6a2cca1d74d8ee00a0a2245d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Model-making", "User experience", "Interface design", "Visual design", "Design systems", "Design development", "Presentation graphics", "Architecture", "Social infrastructure", "Mass timber", "Institutional projects", "Post-secondary institutions", "Hospital campuses", "Community centers", "Affordable housing", "Revit", "Photoshop", "Rhino", "Grasshopper", "Enscape" ], "skillCount" : 20, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Architecture & Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cd32174d8ee00a0a35b57", "title" : "Design Co-op (Fall 2026)", "company" : "HDR", "industry" : "Real Estate", "salary" : { "min" : 21.0, "max" : 26.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada-Ontario-London", "locations" : [ "Canada-Ontario-London" ], "timestamp" : "2026-06-15T07:44:56.047", "fingerprint" : "5e62561b5b900d4bc5ac5d89811f07d299e06fc7a91602975d0d25778f62b9df", "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", "technicalSkills" : "Revit, AutoCAD, Rhino, Enscape, SketchUp, Photoshop, InDesign", "professionalSkills" : [ "Design development", "Contract documents", "Contract administration" ], "hardSkillsList" : [ "3D views", "Renderings", "VR walkthroughs" ], "hardSkills" : [ { "name" : "3D views", "level" : "intermediate" }, { "name" : "Renderings", "level" : "intermediate" }, { "name" : "VR walkthroughs", "level" : "intermediate" } ], "majorSkills" : "User experience, Interface design, Visual design, Design systems", "majorSkillsList" : [ "User experience", "Interface design", "Visual design", "Design systems" ], "coreResponsibilities" : "Assist in production, Prepare floor plans, Prepare elevations, Prepare details, Prepare sections, Prepare schedules, Produce 3D views, Produce renderings, Produce VR walkthroughs, Apply architectural procedures, Perform architectural assignments, Work on contract administration, Attend site visits, Attend client meetings, Create documentation, Partake in design conversations, Partake in design exercises", "teamCollaboration" : "Work with team members; Design conversations", "domainKnowledge" : "Architecture; Building technology; Construction methodologies; Material applications; Healthcare sector; Education sector; Science sector; Technology sector; Civic sector; Justice sector; Commercial sector", "domainList" : [ "architecture", "building-technology", "construction-methodologies", "material-applications", "healthcare-sector", "education-sector", "science-sector", "technology-sector", "civic-sector", "justice-sector", "commercial-sector" ], "domainSpecificKnowledge" : [ "Architecture", "Building technology", "Construction methodologies", "Material applications", "Healthcare sector", "Education sector", "Science sector", "Technology sector", "Civic sector", "Justice sector", "Commercial sector" ], "toolProficiency" : [ "Revit", "AutoCAD", "Rhino", "Enscape", "SketchUp", "Photoshop", "InDesign" ], "documentationSkills" : "Contract documents", "continuousLearning" : "Self-motivated learners", "innovationCreativity" : "Novel ideas; Innovative suggestions", "problemSolvingSkills" : "Solve complex design challenges", "qualificationsBasic" : "Revit 2020 or higher, AutoCAD 2020 or higher", "qualificationsPreferred" : "2 years completed toward degree, 3.0+ GPA, Knowledge of software packages, Knowledge of building technology, Knowledge of construction methodologies, Knowledge of material applications, Ability in multi-tasking, Well organized, Active participant of team", "remoteFriendly" : false, "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 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. As a firm working on a wide variety of Architectural projects of varying scales and scopes, we look for Co-op students who are self-motivated learners looking to get the most out of their term, possess strong communication skills, the ability to work as a team on and off projects, and the drive to bring innovative suggestions to the table as we push for a sustainable future. Our London office is a team of approximately 14 people working with clients in the Healthcare, Post-Secondary Education, Science and Technology, Civic, Justice and Commercial sectors. The role of the Co-op student within the office would be to work with the Lead Architect and other team members on a variety of tasks throughout the design and construction process. Tasks could include, depending on student's experience and proficiency: Assisting in production of schematic design, design development and contract documents including preparation of floor plans, elevations, details, sections, and schedules Producing 3D views, renderings, and VR walkthroughs Applying architectural procedures and techniques Independently performing architectural assignments with instruction from senior team members Working on contract administration duties Attending site visits and/or client meetings and creating documentation for these engagements Partaking in architectural design conversations, exercises, and other general duties Required Technical Skills Revit 2020 or higher AutoCAD 2020 or higher Preferred Qualifications 2 years completed toward degree with 3.0+ GPA Demonstrated knowledge of software packages related to field of study/industry Knowledge of building technology and assembly, construction methodologies and material applications. Ability in multi-tasking while maintaining high levels of proficiency. Well organized with an attitude and commitment to being an active participant of the team. Rhino Enscape rendering plugin for Revit & Rhino SketchUp Photoshop InDesign 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- %2426.00.", "summaryDescription" : "Design Co-op (Fall 2026) at HDR. Skills: User experience, Interface design, Visual design, Design systems. Assist in production. 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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 transportation is more than movement, it’s the foundation of connected, thriving communities. As part of HDR’s Transportation Business Group, you’ll help shape the systems that move people and goods safely, efficiently, and sustainably. From designing resilient highways and iconic bridges to advancing transit, passenger and freight rail, aviation, federal transportation ports and marine infrastructure, your work will directly support economic vitality, public safety, sustainable and resilient communities and quality of life. We bring together planners, engineers, architects, construction management staff, environmental, strategic communications, economists, management consultants and specialists across disciplines to solve complex mobility challenges with innovation, technical excellence, and a deep understanding of community needs. Whether you're modernizing aging infrastructure or pioneering next-generation transportation solutions, your contributions will help define the future of mobility. This isn’t just a job, it’s a chance to lead progress, drive meaningful impact, and leave a legacy of smarter, more connected transportation networks. We are all employee-owners at HDR, which is the foundation of our collaborative culture that connects employees around the world. In the role of Transportation Planning/Engineering Co-op, we'll count on you to: Gain real-world experience on exciting transportation planning and civil engineering 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 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", "summaryDescription" : "Transportation Planning Co-op (Fall 2026) at HDR. Skills: Transportation planning, Civil engineering. Gain real-world experience. 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We invite you to be part of our high-performing Computer Vision team at Amazon located in Melbourne, Australia. As a member of our international Machine Learning group, you will play a key role in developing generative AI solutions that leverage vast amounts of Amazon data and advanced cloud computing resources. Our mission is to create next-generation media content that delivers an unforgettable shopping experience for our customers in emerging marketplaces. We are seeking talented Computer Vision Scientists with a Ph.D. in a related field. This is an opportunity for you to build innovative AI techniques that tackle real-world business challenges. Join a team dedicated to advancing AI technology at Amazon and transforming it into impactful business solutions. #austechjobs Key job responsibilities - Develop scalable machine learning and computer vision solutions to revamp the media block of our catalog - Analyze and extract meaningful insights from large volumes of Amazon’s data to automate and enhance content - Design, build, and evaluate generative AI models tailored to our business use cases - Communicate clearly with business stakeholders to understand and align on requirements - Conduct market, research and implement novel machine learning techniques to solve customer problems - Mentor interns and junior scientists - Publish papers at Tier-1 CV/ML conferences Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming or scripting language like Python, Java, C or C++ - Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Preferred Qualifications: - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms - 5+ years of building machine learning models or developing algorithms for business application experience - Experience using Unix/Linux - Experience with popular deep learning frameworks such as MxNet and Tensor Flow Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Computer Vision Scientist, International Machine Learning, Australia at Amazon Support Services Pty Ltd. Skills: Computer vision, Machine learning, Generative AI. Develop ML and CV solutions. Analyze and extract insights", "postedDate" : "2026-06-13T20:13:20.772", "createdAt" : "2026-06-13T20:13:20.772", "lastUpdated" : "2026-06-15T07:43:03.323", "ingestTimestamp" : "2026-06-13T20:13:20.772", "mongoId" : "68c2e420f8b1b0376634c492", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078273/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Machine learning", "Computer vision", "Generative models", "Deep learning", "Model pruning", "Mentoring", "Generative AI", "Business application", "Customer problems", "E-commerce platform", "MxNet", "Tensor Flow" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69164daf70f0b99d586f3608", "title" : "Computer Vision Scientist, International Machine Learning, Australia", "company" : "Amazon Support Services Pty Ltd", "industry" : "Machine Learning Science, Applied Science, no business category", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Computer Vision Scientist in Melbourne, Australia, adjusted for the technology industry and large company size." }, "location" : "Melbourne, Victoria, AUS", "locations" : [ "Melbourne, Victoria, AUS" ], "timestamp" : "2026-06-15T01:25:23.796", "fingerprint" : "1ff517208b8b93ae69e0fb6e6763fe4a1992d4a1603a28883da683c505e5e456", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3121225/apply", "externalId" : "0e2f1b46-b3c9-42d9-aa69-08691b1afb66", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "technicalSkills" : "Python, Java, C++, Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI", "professionalSkills" : [ "Business use cases", "Customer problems" ], "hardSkillsList" : [ "Generative models", "Machine learning techniques" ], "hardSkills" : [ { "name" : "Generative models", "level" : "intermediate" }, { "name" : "Machine learning techniques", "level" : "intermediate" } ], "majorSkills" : "Computer Vision, Machine Learning, Generative AI", "majorSkillsList" : [ "Computer Vision", "Machine Learning", "Generative AI" ], "coreResponsibilities" : "Build generative AI models, Train generative AI models, Evaluate generative AI models, Communicate within the team, Understand scope, Align on requirements, Implement machine learning techniques, Solve customer problems", "teamCollaboration" : "Senior scientists", "domainKnowledge" : "E-commerce platform; Emerging marketplaces", "domainList" : [ "e-commerce-platform", "emerging-marketplaces" ], "domainSpecificKnowledge" : [ "E-commerce platform", "Emerging marketplaces" ], "innovationCreativity" : "Develop generative AI solutions; Build innovative AI techniques", "problemSolvingSkills" : "Tackle real-world business challenges", "outcomesObjectives" : "Deliver unforgettable shopping experience", "qualificationsBasic" : "Masters in Computer Science, Experience programming Python, Experience programming Java, Experience programming C, Experience programming C++, Publications on top-tier conferences", "qualificationsPreferred" : "Experience implementing algorithms, Experience researching machine learning, Experience researching deep learning, Experience researching NLP, Experience researching computer vision, Experience researching data science, Experience applying theoretical models", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "** Join Our Innovative Computer Vision Team at Amazon, Australia ** Are you passionate about developing generative models to transform the next generation of e-commerce platform and build AI models used by millions of customers? We invite you to be part of our high-performing Computer Vision team at Amazon located in Melbourne, Australia. As a member of our international Machine Learning group, you will work closely with other senior scientists in developing generative AI solutions that leverage vast amounts of Amazon data and advanced cloud computing resources. Our mission is to create next-generation media content that delivers an unforgettable shopping experience for our customers in emerging marketplaces. We are seeking talented Computer Vision Scientists with a Masters in Computer Science or in a related field. This is an opportunity for you to build innovative AI techniques that tackle real-world business challenges. Join a team dedicated to advancing AI technology at Amazon and transforming it into impactful business solutions. #austechjobs Key job responsibilities - Build, train and evaluate generative AI models tailored to our business use cases - Communicate clearly within the team to understand and align on scope and requirements - Implement novel machine learning techniques to solve customer problems - Publish papers at Tier-1 CV/ML conferences Basic Qualifications: - Experience programming or scripting language like Python, Java, C or C++ - Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS - Masters in Computer Science, Mathematics, or a related field Preferred Qualifications: - Experience implementing algorithms using both toolkits and self-developed code - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Experience applying theoretical models in an applied environment Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Computer Vision Scientist, International Machine Learning, Australia at Amazon Support Services Pty Ltd. Skills: Computer Vision, Machine Learning, Generative AI. Build generative AI models. Train generative AI models", "postedDate" : "2026-06-13T03:01:38.559", "createdAt" : "2026-06-13T03:01:38.559", "lastUpdated" : "2026-06-15T01:25:23.796", "ingestTimestamp" : "2026-06-13T03:01:38.559", "mongoId" : "69164daf70f0b99d586f3608", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3121225/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Generative models", "Machine learning techniques", "Computer Vision", "Machine Learning", "Generative AI", "Business use cases", "Customer problems", "E-commerce platform", "Emerging marketplaces" ], "skillCount" : 9, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca57f74d8ee00a09b6d74", "title" : "Co-op, Machine Learning for Digital Twins", "company" : "Lila Sciences", "industry" : "Technology", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level internships in biotech in Cambridge, MA, adjusted for company size and industry." }, "location" : "Alewife, Cambridge, MA", "locations" : [ "Alewife", "Cambridge", "MA" ], "timestamp" : "2026-06-15T09:06:07.230", "fingerprint" : "34a981f3aa4ab70e237585a10edb0b28845e4eedc874337c6fb61ebcde77e720", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lilasciences/jobs/4280809009", "externalId" : "4280809009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Master's", "technicalSkills" : "Python, PyTorch, JAX, TensorFlow, Machine Learning, Operator learning, Surrogate modeling, Physics-informed ML, Spatiotemporal modeling, Dynamical systems, Scientific computing, Neural operators, DeepONets, Graph neural operators, Transformer-based neural operators, Attention-based operators, Physics-informed operators, Model updating, Simulator calibration, Discrepancy modeling, Uncertainty quantification, Out-of-distribution detection, Reliability estimation, Active learning, Bayesian optimization, Design of experiments, Experimental decision-making", "professionalSkills" : [ "Scientific discovery", "Experimental design", "Model calibration", "Uncertainty quantification", "Model validation", "Performance evaluation", "Scientific questions", "ML tasks", "Dataset creation", "Baseline establishment", "Evaluation criteria", "Scientific modeling", "Experimental systems", "Physical systems" ], "hardSkillsList" : [ "Machine learning", "Operator learning", "Surrogate modeling", "Uncertainty quantification", "Model calibration", "Model 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[ "Machine Learning", "Digital Twins", "Operator Learning", "Uncertainty Quantification" ], "coreResponsibilities" : "Build ML models, Train ML models, Evaluate ML models, Contribute to ML models, Build surrogate models, Train surrogate models, Build operator-learning models, Train operator-learning models, Build physics-informed models, Train physics-informed models, Calibrate models, Quantify uncertainty, Validate against data, Frame scientific questions, Create ML tasks, Document findings, Share results", "teamCollaboration" : "Cross-departmental collaboration; ML, software engineering, physical science teams", "projectManagementSkills" : [ "Experiment tracking" ], "domainKnowledge" : "Physical sciences; Life sciences; Experimental systems; Digital twins; Operator learning; Surrogate modeling; Uncertainty quantification; Spatiotemporal modeling; Dynamical systems; Scientific computing; Physics-informed ML; Model update; Simulator calibration; Discrepancy modeling; Out-of-distribution detection; Reliability estimation; Closed-loop scientific decision-making; Physical science applications; Materials science; Chemistry; Energy systems; Catalysis; Batteries; Electrochemistry; Additive manufacturing; Fluid dynamics; Thermodynamics; Robotics; Computational physics", "domainList" : [ "physical-sciences", "life-sciences", "experimental-systems", "digital-twins", "operator-learning", "surrogate-modeling", "uncertainty-quantification", "spatiotemporal-modeling", "dynamical-systems", "scientific-computing", "physics-informed-ml", "model-update", "simulator-calibration", "discrepancy-modeling", "out-of-distribution-detection", "reliability-estimation", "closed-loop-scientific-decision-making", "physical-science-applications", "materials-science", "chemistry", "energy-systems", "catalysis", "batteries", "electrochemistry", "additive-manufacturing", "fluid-dynamics", "thermodynamics", "robotics", "computational-physics" ], "domainSpecificKnowledge" : [ "Physical sciences", "Life sciences", "Experimental systems", "Digital twins", "Operator learning", "Surrogate modeling", "Uncertainty quantification", "Spatiotemporal modeling", "Dynamical systems", "Scientific computing", "Physics-informed ML", "Model update", "Simulator calibration", "Discrepancy modeling", "Out-of-distribution detection", "Reliability estimation", "Closed-loop scientific decision-making", "Physical science applications", "Materials science", "Chemistry", "Energy systems", "Catalysis", "Batteries", "Electrochemistry", "Additive manufacturing", "Fluid dynamics", "Thermodynamics", "Robotics", "Computational physics" ], "toolProficiency" : [ "PyTorch", "JAX", "TensorFlow", "MLflow" ], "communicationSkills" : "Write-ups; Presentations", "documentationSkills" : "Document findings", "innovationCreativity" : "Scientific discovery", "problemSolvingSkills" : "Scientific questions to ML tasks", "outcomesObjectives" : "Higher-throughput experiments; Higher-quality experiments; Inform experiment design; Inform experiment run", "qualificationsBasic" : "Master's or PhD, Python programming skills, ML frameworks experience, ML to scientific systems, Open-ended questions to ML tasks, Model training, validation, debugging, Experiment tracking, performance evaluation, Messy, heterogeneous, or evolving datasets, Collaborating across teams", "qualificationsPreferred" : "PhD preferred, Modern operator-learning methods, Digital twins experience, Model update, calibration, uncertainty-aware modeling, Closed-loop scientific decision-making, Physical science applications", "workSiteFlexibility" : "Onsite", "rawDescription" : "Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team partners with the diverse experimental groups to build digital twins of experimental campaigns, focusing on calibrated, uncertainty-aware models that enable higher-throughput, higher-quality use of Lila's AI Science Facilities (AISF). As an ML for Digital Twins Co-Op, you will work on building, training, and evaluating ML models for physical and experimental systems. You will get hands-on experience with operator learning, surrogate modeling, and uncertainty quantification, shipping work that directly informs how next-generation AISF experiments are designed and run. What You'll Be Building Contribute to ML models for scientific and experimental systems, focused on a well-defined digital twin sub-problem Build and train surrogate, operator-learning, or physics-informed models against experimental and simulation data, with mentor guidance Calibrate models, quantify uncertainty, and validate against data flowing from active AISF experimental campaigns Frame open-ended scientific questions as concrete ML tasks with clear datasets, baselines, and evaluation criteria Document findings and share results in cross-departmental collaboration through write-ups and presentations What You'll Need to Succeed Pursuing a Master's or PhD in Machine Learning, Computer Science, Applied Mathematics, Physics, Materials Science, Chemical Engineering, Mechanical Engineering, Electrical Engineering, or a related quantitative field (PhD preferred) Strong programming skills in Python and hands-on experience with ML frameworks such as PyTorch, JAX, TensorFlow, or similar Experience applying machine learning to scientific, engineering, physical, or experimental systems Familiarity with neural operators, operator learning, spatiotemporal modeling, field prediction, dynamical systems, scientific computing, surrogate modeling, or physics-informed ML Ability to turn open-ended scientific questions into concrete ML tasks with clear datasets, assumptions, baselines, and evaluation criteria Solid foundation in model training, validation, debugging, experiment tracking, and performance evaluation Comfort working with messy, heterogeneous, or evolving scientific datasets Clear communication and interest in collaborating across ML, software engineering, and physical science teams Bonus Points For Experience with modern operator-learning methods, including Fourier Neural Operators, DeepONets, graph neural operators, transformer-based neural operators, attention-based operators, physics-informed operators, or operator learning for spatiotemporal systems Experience with digital twins, model update, calibration, and uncertainty-aware scientific modeling, including online/offline model updating, simulator calibration, discrepancy modeling, uncertainty quantification, out-of-distribution detection, or reliability estimation Experience with closed-loop scientific decision-making or physical science applications, including active learning, Bayesian optimization, design of experiments, experimental decision-making, or applications in materials science, chemistry, energy systems, catalysis, batteries, electrochemistry, additive manufacturing, fluid dynamics, thermodynamics, robotics, or computational physics About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.", "summaryDescription" : "Co-op, Machine Learning for Digital Twins at Lila Sciences. Skills: Machine Learning, Digital Twins, Operator Learning, Uncertainty Quantification. Build ML models. Train ML models", "postedDate" : "2026-06-14T03:42:43.350", "createdAt" : "2026-06-14T03:42:43.350", "lastUpdated" : "2026-06-15T09:06:07.230", "ingestTimestamp" : "2026-06-14T03:42:43.350", "mongoId" : "6a2ca57f74d8ee00a09b6d74", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Machine learning", "Operator learning", "Surrogate modeling", "Uncertainty quantification", "Model calibration", "Model training", "Model validation", "Performance evaluation", "Spatiotemporal modeling", "Dynamical systems", "Scientific computing", "Physics-informed ML", "Digital twins", "Model updating", "Simulator calibration", "Out-of-distribution detection", "Reliability estimation", "Active learning", "Bayesian optimization", "Design of experiments", "Experimental decision-making", "Clear communication", "Interest in collaborating", "Machine Learning", "Digital Twins", "Operator Learning", "Uncertainty Quantification", "Scientific discovery", "Experimental design", "Scientific questions", "ML tasks", "Dataset creation", "Baseline establishment", "Evaluation criteria", "Scientific modeling", "Experimental systems", "Physical systems", "Experiment tracking", "Physical sciences", "Life sciences", "Model update", "Discrepancy modeling", "Closed-loop scientific decision-making", "Physical science applications", "Materials science", "Chemistry", "Energy systems", "Catalysis", "Batteries", "Electrochemistry", "Additive manufacturing", "Fluid dynamics", "Thermodynamics", "Robotics", "Computational physics", "PyTorch", "JAX", "TensorFlow", "MLflow" ], "skillCount" : 59, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ad074d8ee00a090e3c1", "title" : "Senior Computer Vision and Machine Learning Research Scientist", "company" : "Axon", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Computer Vision and Machine Learning Research Scientist in Seattle, adjusted for Axon's industry and size." }, "location" : "Washington, United States", "locations" : [ "Washington", "United States" ], "timestamp" : "2026-06-16T02:12:00.009", "fingerprint" : "4c568079509913b2de3f011009c1ef69cffbe18d6cb376227c461f9ba2561f80", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/axon/jobs/7761541003", "externalId" : "7761541003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company’s mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. What You’ll Do Reports to: Director of AI Research Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success. Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow. Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection. Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data. Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings. Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices. Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products. Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community. Coach and mentor junior scientists. What You Bring PhD and 3+ years experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields. Proven track record of research in machine learning, computer vision or related fields. Experience driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale. Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition. Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences. Experience in developing computer vision algorithms for resource-constrained edge devices or embedded systems preferred but optional. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work #LI-Hybrid Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers. Base Pay Range $159,750—$255,600 USD Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.", "summaryDescription" : "Senior Computer Vision and Machine Learning Research Scientist at Axon", "postedDate" : "2026-06-14T20:07:40.315", "createdAt" : "2026-06-14T20:07:40.315", "lastUpdated" : "2026-06-16T02:12:00.009", "ingestTimestamp" : "2026-06-14T20:07:40.315", "mongoId" : "6a2c6ad074d8ee00a090e3c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c966c74d8ee00a098f818", "title" : "Machine Learning Engineer II, Computer Vision Applied Science", "company" : "Pinterest", "industry" : "Technology", "salary" : { "min" : 138905.0, "max" : 285982.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, CA, US", "locations" : [ "San Francisco", "CA", "US" ], "timestamp" : "2026-06-15T07:48:19.383", "fingerprint" : "710bd2e1dcb8a8df7aecdd2e43a3fedfcd95acf179f95f4a437fa60c52bd2155", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.pinterestcareers.com/jobs/?gh_jid=7697137", "externalId" : "7697137", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Computer Vision, Machine Learning, Multimodal LLMs, Representation Learning, Generative Modeling, Graph Neural Networks, Recommender Systems, Visual Modeling, VLMs, LLMs, Generative models", "professionalSkills" : [ "Applied machine learning", "Visual perception", "Tool using capabilities", "Research strategy", "Visual training data", "Generative strategy" ], "hardSkillsList" : [ "Finetuning LLM models", "RLHF", "Targeted fine-tuning" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Finetuning LLM models", "level" : "intermediate" }, { "name" : "RLHF", "level" : "intermediate" }, { "name" : "Targeted fine-tuning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Computer Vision, Machine Learning, LLMs, Generative Models", "majorSkillsList" : [ "Computer Vision", "Machine Learning", "LLMs", "Generative Models" ], "coreResponsibilities" : "Prototype new model architectures, Finetune open-source LLM models, Improve visual perception, Improve tool using capabilities, Develop new evaluation benchmarks, Tailor benchmarks for vision-centric capabilities, Read research papers, Participate in group discussions, Brainstorm visual generative strategy, Help collect visual training data, Conduct RLHF, Conduct targeted fine-tuning, Publish work via conferences, Publish work via paper submissions, Publish work via blog posts, Mentor junior researchers, Mentor research interns", "teamCollaboration" : "Core visual pod; Product prototyping team; Broader research community", "domainKnowledge" : "Knowledge graph; Visual-text datasets; Fashion style recommendations; Multimodal search; Text-to-image models; Pinterest Canvas", "domainList" : [ "knowledge-graph", "visual-text-datasets", "fashion-style-recommendations", "multimodal-search", "text-to-image-models", "pinterest-canvas" ], "domainSpecificKnowledge" : [ "Knowledge graph", "Visual-text datasets", "Fashion style recommendations", "Multimodal search", "Text-to-image models", "Pinterest Canvas" ], "toolProficiency" : [ "Cursor", "Copilot", "Codex" ], "communicationSkills" : "Group discussions; Public speaking", "continuousLearning" : "Read research papers", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Debugging; Refactoring", "specialRequirements" : "In-office 1-2 times/quarter", "qualificationsBasic" : "2+ years industry computer vision experience, M.S. or PhD in Machine Learning, M.S. or PhD in Computer Science, M.S. or PhD in related areas", "qualificationsPreferred" : "Publications at top ML conferences, Experience using Cursor, Experience using Copilot, Experience using Codex, Experience using AI coding assistants, Familiarity with LLM-powered productivity tools", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building foundation ML models that utilize our extensive knowledge graph and billions of Pins, we aim to significantly enhance the core Pinterest product. Our visual modeling team is currently seeking new members to focus on the advancement of vision-centric LLMs. We are building VLMs capable of perceiving intricate visual details and understanding user aesthetics to facilitate communication through visual assets using tools like multimodal search and text-to-image models. This role offers the opportunity to work with Pinterest's unique visual-text datasets to develop large-scale generative models for production. You will join the core visual pod, a collaborative group of approximately six engineers and a product prototyping team, to create specialized evaluation benchmarks and contribute to the broader research community. What you’ll do: Prototype new model architectures for Pinterest VLMs. We’re looking for hands-on experience working with finetuning open-source LLM models and improve their visual perception and tool using capabilities. Develop new evaluation benchmarks that tailors to vision-centric capabilities such as fashion style recommendations. Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company. Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc. Publish and publicize your work via conferences, paper submissions, blog posts, etc. Mentor more junior researchers or research interns within the Pinterest Labs organization. What we’re looking for: Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of visual encoders and LLMs. 2+ years of industry computer vision experience. M. S. or PhD in Machine Learning, Computer Science, or related areas. Nice to Have: Publications at top ML conferences. Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring. Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-AK7 #LI-Remote At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $138,905—$285,982 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.", "summaryDescription" : "Machine Learning Engineer II, Computer Vision Applied Science at Pinterest. Skills: Computer Vision, Machine Learning, LLMs, Generative Models. Prototype new model architectures. 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Але досить про нас, розказуємо про головну зірку/роль/вакансію. Ця вакансія у R&D-команду, що розробляє та виробляє техніку й електронні рішення, які працюють на реальному полі бою, а не", "summaryDescription" : "Senior Computer Vision and Machine Learning Software Engineer (Daylight map-matching) at Everstar. Develop and produce technical equipment. Develop and produce electronic solutions", "createdAt" : "2026-06-14T18:42:52.103", "lastUpdated" : "2026-06-16T03:40:20.948", "ingestTimestamp" : "2026-06-14T18:42:52.103", "mongoId" : "6a2ccd1674d8ee00a0a28e56", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "MilTech", "Computer Vision", "Machine Learning", "Map-matching" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c8774d8ee00a094da80", "title" : "Partner Enablement Intern (Fall/September 2026, 4 Months)", "company" : "Geotab", "salary" : { "min" : 20.0, "max" : 27.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Oakville", "locations" : [ "Oakville" ], "timestamp" : "2026-06-15T03:48:53.418", "fingerprint" : "2a8d28fae9982c75dfcef67e12d1b0e77068c105284a853fd5d9e37e7e19ab1c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/internshiplist2000/jobs/5185378008", "externalId" : "5185378008", "structuredLocations" : [ { "city" : "Oakville", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.4474360,-79.6666720" } ], "locationText" : "Oakville, Ontario, Canada", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales enablement" ], "majorSkills" : "Partner enablement", "majorSkillsList" : [ "Partner enablement" ], "coreResponsibilities" : "Assist in delivery of enablement resources, Support coordination of training sessions, Support execution of training sessions, Support coordination of webinars, Support execution of webinars, Support coordination of workshops, Support execution of workshops, Help track partner engagement, Help track progress through programs, Contribute to creation of partner communications, Contribute to distribution of partner communications, Provide support to Partner Enablement team, Manage documentation, Assist with reporting of Partner Training progress, Assist with reporting of Partner Training completion, Conduct research on industry best practices, Conduct research on competitor offerings, Collaborate with cross-functional teams, Support partner initiatives, Assist in management of partner portals, Assist in maintenance of partner portals, Assist in management of enablement platforms, Assist in maintenance of enablement platforms, Support Senior Manager of Partner Enablement", "teamCollaboration" : "Partner Program Operations; Learning and Development; Revenue Generation Teams; Sales; Marketing; Product", "domainKnowledge" : "Partner enablement", "domainList" : [ "partner-enablement" ], "domainSpecificKnowledge" : [ "Partner enablement" ], "toolProficiency" : [ "Google Suite", "SFDC" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "GEO Launch Employee Orientation", "qualificationsBasic" : "Bachelor's degree program enrollment, Interest in partner relationships, Interest in sales enablement, Excellent written communication skills, Excellent verbal communication skills, Proficient in Google Suite, Organizational skills, Attention to detail, Ability to work independently, Ability to work as part of a team, Proactive, Eager to learn", "qualificationsPreferred" : "Working knowledge of SFDC", "workSiteFlexibility" : "Flexible", "rawDescription" : "Who we are: Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Who you are: The Partner Program Team is seeking a motivated and enthusiastic Intern to join our Partner Enablement team. This internship offers a unique opportunity to gain hands-on experience in supporting and empowering Geotab's network of partners. The ideal candidate will be a proactive and detail-oriented individual with excellent communication and organizational skills. What you'll do: In the role of Partner Enablement Intern, you will focus primarily on the creation of enablement materials, monitoring certification milestones, and enhancing communication and visibility for our partners. This position involves close collaboration with Partner Program Operations, Learning and Development, Revenue Generation Teams. The opportunity: 4 month work-term beginning September 2026. Full-time, paid internship: Monday - Friday, 37.5hrs/week. Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more! Learn more about the Geotab Campus Program here. This posting is for an existing vacancy. How you'll make an impact: Assist in the delivery of partner enablement resources, such as training materials, guides, and presentations. Support the coordination and execution of partner training sessions, webinars, and workshops. Help track partner engagement and progress through various enablement programs. Contribute to the creation and distribution of partner communications, including newsletters and updates. Provide support to the Partner Enablement team, including managing documentation, and assisting with reporting of Partner Training progress and completion. Conduct research on industry best practices and competitor offerings related to partner enablement. Collaborate with cross-functional teams, including Sales, Marketing, and Product, to support partner initiatives. Assist in the management and maintenance of partner portals PXhub and enablement platforms. Support the Senior Manager of Partner Enablement with various projects and initiatives as needed. What you'll bring to the role: Currently enrolled in a Bachelor's degree program in Business Administration, Marketing, Communications, or a related field. Strong interest in partner relationships, sales enablement. Excellent written and verbal communication skills. Proficient in Google Suite and working knowledge of SFDC a strong asset Strong organizational skills and attention to detail. Ability to work independently and as part of a team. Proactive and eager to learn. If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply. Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees. How we work: At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology! We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. This role offers an hourly pay range which is anticipated to be the range listed below. The actual pay for this position depends on a variety of factors such as but not limited to student's academic program, relevant experience, and location. Geotab is committed to fair and equitable compensation and will share final details as part of the offer process. All offers of employment are contingent upon proof of eligibility to work for the duration of the internship and the individual's ability to pass a background check. Hourly Rate $20—$27 CAD", "summaryDescription" : "Partner Enablement Intern (Fall/September 2026, 4 Months) at Geotab. Skills: Partner enablement. Assist in delivery of enablement resources. Support coordination of training sessions", "postedDate" : "2026-06-13T16:50:28.103", "createdAt" : "2026-06-13T16:50:28.103", "lastUpdated" : "2026-06-15T03:48:53.418", "ingestTimestamp" : "2026-06-13T16:50:28.103", "mongoId" : "6a2c7c8774d8ee00a094da80", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Partner enablement", "Sales enablement", "Google Suite", "SFDC" ], "skillCount" : 4, "jobCategory" : "other", "jobSubcategory" : "global-enablement", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c959b74d8ee00a098d7a3", "title" : "Software Engineering Co-op", "company" : "Moment Energy", "industry" : "Climate Tech", "salary" : { "min" : 31500.0, "max" : 42000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for entry-level Software Engineering Co-op roles in Canada, adjusted for the city tier of Surrey, and the climate tech industry." }, "location" : "Surrey, British Columbia, Canada", "locations" : [ "Surrey", "British Columbia", "Canada" ], "timestamp" : "2026-06-16T05:18:56.129", "fingerprint" : "888448dd6d87c41e135a6f9d640bf7c41179645d26ff9ce48c5e6ec33b65c94d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/momentenergy/jobs/4257336009", "externalId" : "4257336009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Surrey", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.1913033,-122.8491430" } ], "locationText" : "Surrey, British Columbia, Canada", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "technicalSkills" : "Web development, API design, Databases, Data modeling, Cloud platforms, IoT systems, Connected hardware, Git", "professionalSkills" : [ "System architecture", "Data integration" ], "hardSkillsList" : [ "Unit testing", "Integration testing" ], "hardSkills" : [ { "name" : "Unit testing", "level" : "intermediate" }, { "name" : "Integration testing", "level" : "intermediate" } ], "majorSkills" : "Cloud platform development, Battery management systems, Energy storage", "majorSkillsList" : [ "Cloud platform development", "Battery management systems", "Energy storage" ], "coreResponsibilities" : "Develop front-end web interfaces, Contribute to backend API development, Support system architecture, Design database schemas, Support platform functionality, Integrate energy storage hardware, Integrate with cloud services, Integrate with IoT infrastructure, Develop unit tests, Develop integration tests, Ensure system reliability, Ensure system stability, Maintain code quality standards, Maintain documentation standards, Maintain reusability standards, Support development of IoT platform, Support remote battery monitoring, Support remote battery control, Assist with software testing, Assist with debugging, Assist with performance improvements, Collaborate with hardware engineers, Collaborate with software engineers, Support product development", "teamCollaboration" : "Hardware and software teams", "domainKnowledge" : "Energy infrastructure; Battery storage systems; Second-life batteries; Clean energy transition", "domainList" : [ "energy-infrastructure", "battery-storage-systems", "second-life-batteries", "clean-energy-transition" ], "domainSpecificKnowledge" : [ "Energy infrastructure", "Battery storage systems", "Second-life batteries", "Clean energy transition" ], "toolProficiency" : [ "Git" ], "documentationSkills" : "Documentation standards", "continuousLearning" : "Mentorship from experienced engineers", "problemSolvingSkills" : "Problem-solving; Analytical skills", "qualificationsBasic" : "Bachelor's degree or higher in Computer Science, Software Engineering, or related discipline, Experience with modern web development frameworks and tools, Familiarity with backend development and API design, Basic understanding of databases and data modeling, Interest in cloud platforms, IoT systems, and connected hardware, Experience with version control systems such as Git, Problem-solving and analytical skills, Ability to work independently and collaboratively", "qualificationsPreferred" : "Preference for students with Design Team or previous co-op experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Moment Energy Independent energy is here. Help us deploy it. Energy should be free. Free from aging grids, fragile supply chains, and unnecessary extraction. At Moment Energy, we’re building a world where clean power is abundant, affordable, and uninterrupted for everyone. The world doesn’t need another promise about energy; it needs proof that a freer future is possible. Moment Energy is the pragmatic liberator of power, the only company certified to turn the largest untapped energy supply into independent energy. Now is the moment. While the industry scraps millions of batteries with decades of life left, we put them to work by repurposing large-format batteries into advanced battery energy storage systems that deliver real-world impact. We were told second-life batteries would never be safe enough or scalable enough. We didn’t argue, we engineered the solution. Today, Moment Energy delivers 5x the energy density and holds the certifications required to deploy energy independence at scale. Now is the moment. Join us. The Opportunity We are seeking a Software Engineering Co-op to join our Engineering team. In this role, you will support the development of the cloud platform that powers our battery management systems and energy storage products. You will work on both front-end and back-end development while collaborating with engineers across hardware and software teams. This is a great opportunity for a student who wants to gain hands-on experience building scalable software systems for real-world energy infrastructure. Responsibilities and Duties Develop front-end web interfaces for the battery management system (BMS) cloud portal Contribute to backend API development and system architecture Design and implement database schemas to support platform functionality Help integrate energy storage hardware with cloud services and IoT infrastructure Develop unit tests and integration tests to ensure system reliability and stability Maintain high standards of code quality, documentation, and reusability Support development of the IoT platform for remote battery monitoring and control Assist with software testing, debugging, and performance improvements Collaborate with engineers across hardware and software teams to support product development The Student we’re looking for: Currently pursuing a Bachelor’s degree or higher in Computer Science, Software Engineering, or a related discipline Strong preference for students with Design Team or previous co-op experience Experience with modern web development frameworks and tools Familiarity with backend development and API design Basic understanding of databases and data modeling Interest in cloud platforms, IoT systems, and connected hardware Experience with version control systems such as Git Strong problem-solving and analytical skills Ability to work both independently and collaboratively in a fast-paced engineering environment The Experience You’ll Gain: Hands-on experience developing software for real-world energy infrastructure Exposure to cloud platforms, IoT systems, and hardware-software integration Mentorship from experienced software and systems engineers The opportunity to contribute to technology supporting the clean energy transition Moment Energy Co-op Benefits Highlights Paid Time Off: Co-op’s receive three paid days off per term Vibrant Culture & Perks: Open and collaborative office culture, frequent company socials and wellness programs (weekly yoga and fitness center), and free EV charging on-site. Why join us? Today, we’re delivering 5x the energy density and have all the certifications needed to ship energy independence to the world. Be part of a mission-driven company focused on creating sustainable energy solutions and making a positive impact on the world. Collaborate closely with passionate co-founders and a team committed to innovation and excellence. Contribute to building and scaling a company from the ground up, where your work will have a direct and meaningful impact. Thrive in a workplace that values collaboration, wellness, and celebrating successes, with regular company socials, fitness sessions, and more. We're a fast-paced and dynamic team. Every day you'll be taking on a new challenge and learning something new. You'll take on a wide breadth of tasks and contribute to disrupting the battery industry. You'll be part of a tight-knit team that is working together to save the planet! Fun, health, and wellness are incorporated into our daily schedule and we encourage all our team members to bring innovative ideas to the table to create an interactive workplace. Moment Energy Benefits Highlights (full time, permanent employees only) Financial Growth: Employee equity and a robust RRSP matching program. Comprehensive Health Coverage: Extended health, dental, and vision benefits for you and your dependents through Manulife. Generous Time Off & Flexibility: Paid time off plus a paid company closure between Christmas and New Year's, with a generous paid sick leave. Vibrant Culture & Perks: Open and collaborative office culture, frequent company socials and wellness programs (weekly yoga/fitness), and free EV charging on-site. Company Dinner: Weekly Tuesday dinner provided by Moment Energy. We also have a generous supply of coffee and snacks for the office! Our Commitments Moment Energy is an equal-opportunity employer. We are committed to inclusive, barrier-free recruitment and selection processes, including our work environment. We especially welcome applications from Indigenous peoples, members of racialized communities, persons with disabilities, women, and persons who identify as 2SLGBTQ+. —--- Our Values Our values are key to how we show up every day at Moment Energy! We keep them in the forefront of what we do, and they’re used everywhere. We refer to them when we have tough decisions to make, we give shoutouts based on living out these values, and we include them as part of our performance reviews. We have 5 core values and 1 foundational pillar (Safety is our Foundation) which lays the groundwork for everything we do. Safety is our Foundation We prioritize the safety of our products, customers, employees, and the general public above all else. From the workshop to the field, we maintain the highest standards for our batteries in testing manufacturing and deployment, and daily operations. Safety is not only about procedures—it is about vigilance, responsibility, and speaking up when something does not feel right. Safety is everyone's responsibility. We follow safety protocols, use proper equipment, and continuously improve our systems to prevent risks before they occur. If something is unsafe, we stop work and address it. Safety also means protecting our colleagues, customers, and communities by designing reliable products, maintaining safe workspaces, and ensuring our work is done carefully and responsibly. We’re Building a Greener Future Together: We infuse passion for our cleantech mission into every aspect of our work and incorporate fun into the workplace. We motivate one another, celebrate our successes and embrace eco-friendly practices to reduce our carbon footprint. We Prioritize our Customer’s Needs: We place our customers at the core of everything we do, ensuring that every decision considers their needs and aims to provide increased value to them. We provide reliable support for our customers, every step of the way. We’re Open, Honest and Accountable: We prioritize open and honest communication to foster mutual understanding, strengthen knowledge sharing, and reduce miscommunication within the team. We admit when we’ve made a mistake, and remedy our actions. We transparently communicate outcomes whether good, bad, or unexpected. We Think and Act like Owners: We’re self-starters that proactively embrace new challenges along with personal and collective ownership of responsibilities in the organization. We focus on growth, not titles, and we do what needs to be done. We Treat Everyone with Respect: We actively listen, share openly, and work together towards common goals. We treat one another with mutual respect to cultivate an inclusive environment where everyone feels accepted, supported, and heard. We keep an open mind and are willing to learn.", "summaryDescription" : "Software Engineering Co-op at Moment Energy. Skills: Cloud platform development, Battery management systems, Energy storage. Develop front-end web interfaces. Contribute to backend API development", "postedDate" : "2026-06-14T21:48:37.251", "createdAt" : "2026-06-14T21:48:37.251", "lastUpdated" : "2026-06-16T05:18:56.129", "ingestTimestamp" : "2026-06-14T21:48:37.251", "mongoId" : "6a2c959b74d8ee00a098d7a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Unit testing", "Integration testing", "Cloud platform development", "Battery management systems", "Energy storage", "System architecture", "Data integration", "Energy infrastructure", "Battery storage systems", "Second-life batteries", "Clean energy transition", "Git" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7c8774d8ee00a094da8d", "title" : "Support Operations Intern (Fall/ September 2026, 4 - 12 Months)", "company" : "Geotab", "industry" : "Technology", "salary" : { "min" : 20.0, "max" : 29.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Oakville", "locations" : [ "Oakville" ], "timestamp" : "2026-06-16T06:27:37.220", "fingerprint" : "9e788c5ad4085eb47858216bf94709fe48b78cc4d9288c06d7ccbc50f82e0cc2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/internshiplist2000/jobs/5167310008", "externalId" : "5167310008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Oakville", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.4474360,-79.6666720" } ], "locationText" : "Oakville, Ontario, Canada", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Google BigQuery, AI", "professionalSkills" : [ "Process improvement", "Data analysis", "Troubleshooting" ], "hardSkillsList" : [ "KPI tracking", "Database queries" ], "hardSkills" : [ { "name" : "KPI tracking", "level" : "intermediate" }, { "name" : "Database queries", "level" : "intermediate" } ], "majorSkills" : "Technical support, Change management, Data analysis", "majorSkillsList" : [ "Technical support", "Change management", "Data analysis" ], "coreResponsibilities" : "Act as Tier 2 support for the Device, Validate and perform basic troubleshooting on reported issues, Escalate issues to the Tier 3 development team, Function as a liaison between the Orders team, Ensure clear communication and efficient resolution for issues, Monitor for upcoming product or system changes, Analyze potential impacts of changes, Prepare necessary adjustments for changes, Report critical issues to leadership, Support the implementation and maintenance of KPI tracking, Assist in data analysis by running queries, Review knowledge base articles, Update knowledge base articles, Migrate knowledge base articles to Google Docs, Create transition documentation for the co-op role, Maintain transition documentation for the co-op role, Assist with creating documentation, Assist with updating documentation, Conduct light research on best practices, Build visuals, Build flowcharts, Build simple dashboards, Test new support workflows, Test triage decision trees, Flag inconsistencies, Help draft internal comms, Help draft enablement resources, Help draft support technical troubleshooting", "teamCollaboration" : "Liaison between teams; Cross-functional teams", "projectManagementSkills" : [ "Knowledge base migration" ], "domainKnowledge" : "Connected transportation; IoT; Fleet management; AI support tools", "domainList" : [ "connected-transportation", "iot", "fleet-management", "ai-support-tools" ], "domainSpecificKnowledge" : [ "Connected transportation", "IoT", "Fleet management", "AI support tools" ], "toolProficiency" : [ "Google Docs", "Superset" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Knowledge base management; Transition documentation; Support Operating Procedures; Support flows; Internal FAQs; Support guides", "continuousLearning" : "Employee Orientation; Campus Program", "innovationCreativity" : "Next-generation AI support tools", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "specialRequirements" : "Reliable internet connection, 50mb DL/10mb UL", "qualificationsBasic" : "Pursuing a Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field, Equivalent combination of education and/or work experience in related field may be substituted, Analytical and problem-solving skills, Ability to problem-solve to well-judged decisions, Communication and interpersonal skills", "workSiteFlexibility" : "Remote", "rawDescription" : "Who we are: Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Who you are: We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Support Operations Intern who is responsible for providing technical and operational support for key Change Management initiative. If you love technology and are keen to join an industry leader — we would love to hear from you! What you'll do: The Support Operations Intern is responsible for providing technical and operational support for key Change Management initiatives. The intern will act as the primary contact for initial troubleshooting of the internal Device Adder application, serving as a liaison between the Orders team and Tier 3 development teams. This role will also support data analysis and process improvement by assisting with KPI tracking and running database queries, while also taking ownership of a critical knowledge base migration project to prepare for next-generation AI support tools. The opportunity: 8 month work-term beginning September 2026. Full-time, paid internship: Monday - Friday, 37.5hrs/week. Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more! Learn more about the Geotab Campus Program here. This posting is for an existing vacancy. How you'll make an impact: Act as Tier 2 support for the Device Adder by validating and performing basic troubleshooting on reported issues before escalating to the Tier 3 development team. Function as a liaison between the Orders team and Tier 3 teams, ensuring clear communication and efficient resolution for issues related to the Device Adder. Proactively monitor for upcoming product or system changes that could impact the Device Adder application; analyze potential impacts, prepare necessary adjustments, and report critical issues to leadership to inform business decisions and minimize customer impact. Support the implementation and maintenance of KPI tracking systems (e.g., Superset). Assist in data analysis by running queries using tools like Google BigQuery (GBQ). Review, update, and migrate over 90 internal knowledge base articles to Google Docs to ensure content is accurate and standardized for integration with an AI-powered virtual support assistant. Create and maintain comprehensive transition documentation for the co-op role to ensure continuity and a scalable training process for future interns. Assist with creating and updating documentation, including Support Operating Procedures (SOPs), support flows, internal FAQs, and support guides. Conduct light research on best practices for support operations, partner training or integration change management. Build visuals, flowcharts, or simple dashboards to communicate workflows and dependencies clearly. Test new support workflows or triage decision trees and flag inconsistencies. Help draft internal comms, enablement resources, or support technical troubleshooting. What you'll bring to the role: Pursuing a Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field. Equivalent combination of education and/or work experience in related field may be substituted Strong analytical and problem-solving skills with the ability to problem-solve to well-judged decisions. Strong communication and interpersonal skills to collaborate with cross-functional teams and effectively communicate technical concepts. High accuracy and meticulous attention to detail. Strong project management skills; able to identify needs, develop effective solutions and manage projects through to completion. Familiarity with data analysis skills, including generating database queries (GBQ, SQL, etc.). Experience with or understanding of REST APIs and SDKs; ability to troubleshoot integrations and work with multiple API specifications is a strong asset. Willingness to learn and a strong work ethic and passion for technology and innovation. Familiarity with Python for data analysis or automation is a plus. Self-motivated and able to work independently as well as part of a team. Familiarity with data pipeline orchestration tools (e.g., Airflow) is a strong asset. Experience with version control systems (e.g., Git) is a plus. If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply. Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees. How we work: At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology! We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. This role offers an hourly pay range which is anticipated to be the range listed below. The actual pay for this position depends on a variety of factors such as but not limited to student's academic program, relevant experience, and location. Geotab is committed to fair and equitable compensation and will share final details as part of the offer process. All offers of employment are contingent upon proof of eligibility to work for the duration of the internship and the individual's ability to pass a background check. Hourly Rate $20—$29 CAD", "summaryDescription" : "Support Operations Intern (Fall/ September 2026, 4 - 12 Months) at Geotab. Skills: Technical support, Change management, Data analysis. Act as Tier 2 support for the Device. Validate and perform basic troubleshooting on reported issues", "postedDate" : "2026-06-14T19:10:09.246", "createdAt" : "2026-06-14T19:10:09.246", "lastUpdated" : "2026-06-16T06:27:37.220", "ingestTimestamp" : "2026-06-14T19:10:09.246", "mongoId" : "6a2c7c8774d8ee00a094da8d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "KPI tracking", "Database queries", "Technical support", "Change management", "Data analysis", "Process improvement", "Troubleshooting", "Knowledge base migration", "Connected transportation", "IoT", "Fleet management", "AI support tools", "Google Docs", "Superset" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e2ce260f92cbf8e963", "title" : "Software Development Engineer Co-Op - Spring 2026", "company" : "Amazon.com Services LLC", "industry" : "Software Development, subsidiaries", "salary" : { "min" : 4784.0, "max" : 9615.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Westborough, Massachusetts, USA", "locations" : [ "Westborough, Massachusetts, USA" ], "timestamp" : "2026-06-16T03:33:57.587", "fingerprint" : "b0da1b7773fa68c0eed0432b233128c53f9f49af65540184b528077ba96a8563", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100414/apply", "externalId" : "13ce2c1b-792b-4d51-9997-454760aa241e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Westborough", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2694308,-71.6129907" } ], "locationText" : "Westborough, Massachusetts, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "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 Software Development Engineer (SDE) co-ops use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE co-ops 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. Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers. We are combining computer vision and custom robots to solve real-world problems at huge scale. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Our team partners with a variety of customers across Amazon worldwide to conceive, develop, prototype and deploy a wide range of robotic systems. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. We are building a new, foundational automation system that will transform warehouse operations by combining multiple novel workcells. We're looking for curious minds who think big and want to define tomorrow's technology for operating robotics systems. At Amazon, we believe in ownership at every level. As an SDE co-op, you will own designing, developing, integrating, troubleshooting, and optimizing critical automation systems that will be deployed at very large scale. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. You will act as a key contributor to our product development roadmap and help develop software features, tools, and mechanisms to operate large robotic fleets (10,000s). At Amazon Robotics, 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 Robotics internship/co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA and Seattle, WA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities. 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. 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. • Develop features which automate the provisioning, operation and aide of large robotic fleets. • 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 including on-call duties. • Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues. • Utilize Amazon Robotics and Amazon engineering tools, processes and technologies. A day in the life As an SDE co-op, 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/co-ops throughout your internship. No matter the location of your co-op, 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 - Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields - 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 - Must be eligible and available for an in-person, full-time co-op (40h/week) between January 2026 to June 2026 Preferred Qualifications: - Experience from previous technical internship(s) or demonstrated project experience - Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems - Strong problem-solving and analytical skills; Excellent written and verbal communication skills - Demonstrated ability to learn and adapt to new technologies quickly - Basic understanding of software development lifecycle (SDLC) - Experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $47.84/hr in our lowest geographic market up to $96.15/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Engineer Co-Op - Spring 2026 at Amazon.com Services LLC", "postedDate" : "2026-06-14T18:59:04.528", "createdAt" : "2026-06-14T18:59:04.528", "lastUpdated" : "2026-06-16T03:33:57.587", "ingestTimestamp" : "2026-06-14T18:59:04.528", "mongoId" : "68e0a7e2ce260f92cbf8e963", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100414/apply", "salaryAnnualMin" : 9950720, "salaryAnnualMax" : 19999200, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ccd1474d8ee00a0a28dbe", "title" : "Computer Vision and Machine Learning Engineer (Daylight UAV detection & tracking)", "company" : "Everstar", "industry" : "Technology", "salary" : { "min" : 2000000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Computer Vision and Machine Learning Engineer in the Technology industry in India, adjusted for seniority and company size." }, "location" : "Kyiv | Київ, UA", "locations" : [ "Kyiv | Київ", "UA" ], "timestamp" : "2026-06-16T02:44:56.939", "fingerprint" : "fe104a0988826e645d4713302d0a649a8ec620c25669514fae1210b5bdaeaa9a", "source" : "breezyhr", "language" : "uk", "applyUrl" : "https://everstar.breezy.hr/p/aee0f6412eec-computer-vision-and-machine-learning-engineer-daylight-uav-detection-tracking", "externalId" : "aee0f6412eec", "industryFunction" : { }, "structuredLocations" : [ { "city" : "kyiv", "state" : "kyiv city", "country" : "Ukraine", "continent" : "europe", "source" : "locations-index", "geo" : "50.45466,30.5238" } ], "locationText" : "Kyiv | Київ, UA", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Create products, Improve products", "teamCollaboration" : "R&D teams", "domainKnowledge" : "MilTech", "domainList" : [ "miltech" ], "domainSpecificKnowledge" : [ "MilTech" ], "innovationCreativity" : "R&D projects", "rawDescription" : "Ми — EVERSTAR, перша рекрутингова агенція в MilTech для тих, хто готовий створювати технологічне майбутнє. Але досить про нас, розказуємо про головну вакансію. Це роль в R&D-команді, де інженери різних напрямів разом створюють і вдосконалюють продукти, що вже довели свою ефективність у сот", "summaryDescription" : "Computer Vision and Machine Learning Engineer (Daylight UAV detection & tracking) at Everstar. Create products. 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We're at the forefront of the GenAI revolution, building the foundation model for the world — and the products that put it in everyone's hands, from first-time meme makers to professional studios. The result is one of the most loved creative platforms in AI: over 45 million users, one of the largest communities on Discord, and creators spanning Hollywood professionals to TikTokers. Behind it is a Toronto-based team that lives by one principle — serious tech, silly fun. About the job \"Learning fast is an engineer's superpower in the AI era.\" At Viggle, you won't be boxed into a role label. We hire for engineering judgment and the ability to learn fast — across our App, PINOC, Games, API, and the infrastructure behind them, the same person might touch a generation pipeline, a real-time rendering path, and the product surface a creator actually sees. As an intern or co-op, you'll own real work that ships, not side projects. What We're Looking For Tell us what you love building, and we'll find the surface that fits. Here's where you'd likely land: \uD83C\uDFAC Viggle App — Consumer, mobile & web The product 40M+ creators actually touch — fast generation flows and real-time editing. You: React Native or React/Next.js + TypeScript, with a love for performance and polish. \uD83E\uDDB4 PINOC — AI motion capture & 3D pipeline Turn any footage into skeletal animation, exported to FBX/GLB for real 3D pipelines. You: 3D graphics (Three.js/WebGL), rigging/retargeting, pose estimation/CV, glTF/FBX, Python. \uD83C\uDFAE Viggle Games — Real-time interactive 3D Playable, multiplayer experiences built on generative 3D, like Fight Anyone 3D. You: game engines (Unity/Unreal) or WebGL, multiplayer netcode, react, node. ⚙️ Viggle API — Developer platform & inference infra The platform other developers and AI agents build on — any motion in one call. You: Go, Python, backend/distributed systems, inference serving & GPU orchestration, API design, Go/Python/Rust. \uD83D\uDEE0️ Infrastructure & ML Systems — Training, inference & data The backbone behind every model — training, inference, and the data they learn from. You: ML infra/MLOps, model optimization, distributed training & GPU orchestration (CUDA/PyTorch/Ray), data pipelines. Not sure which track? That's fine — strong fundamentals of travel, and our engineers move across these areas as projects demand. Just tell us what you're best at and what you want to learn next.", "summaryDescription" : "Software Engineer (intern/co-op) at Viggle AI. Skills: GenAI, 3D graphics, ML infra, Distributed systems. 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Collaborative team environment", "projectManagementSkills" : [ "Agile environment", "CI/CD principles" ], "domainKnowledge" : "Robotics; Computer vision; Machine learning; Optimization; Manipulation; Perception; Motion planning; Controls; Movement; Autonomous navigation; Path planning; Fulfillment center technologies; Cloud services; Distributed computing environment; Cloud-native architectures; Microservices", "domainList" : [ "robotics", "computer-vision", "machine-learning", "optimization", "manipulation", "perception", "motion-planning", "controls", "movement", "autonomous-navigation", "path-planning", "fulfillment-center-technologies", "cloud-services", "distributed-computing-environment", "cloud-native-architectures", "microservices" ], "domainSpecificKnowledge" : [ "Robotics", "Computer vision", "Machine learning", "Optimization", "Manipulation", "Perception", "Motion planning", "Controls", "Movement", "Autonomous navigation", "Path planning", "Fulfillment center technologies", "Cloud services", "Distributed computing environment", "Cloud-native architectures", "Microservices" ], "toolProficiency" : [ "Version control systems" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Technical documentation", "continuousLearning" : "Mentorship", "innovationCreativity" : "Innovative technology; Creating new products; Creating new features; Creating new services", "problemSolvingSkills" : "Problem-solving; Analytical skills; Troubleshooting", "specialRequirements" : "On-call duties", "qualificationsBasic" : "18 years of age or older, Enrolled in Bachelor's degree or above, Experience with at least one general-purpose programming language, Experience with data structure implementation, Experience with basic algorithm development, Experience with object-oriented design principles, Minimum of one quarter/semester/trimester remaining in studies after internship", "qualificationsPreferred" : "Experience from previous technical internship(s), Demonstrated project experience, Experience with Cloud platforms (AWS), Experience with database systems (SQL and NoSQL), Experience with AI tools for development productivity, Contributing to open-source projects, Experience with version control systems, Basic understanding of software development lifecycle (SDLC), Experience within Robotics, Experience within Computer Vision, Experience within Machine Learning, Experience within Optimization, Experience within Manipulation, Experience within Perception, Experience within Motion Planning and Controls, Experience within Movement, Experience within Autonomous Navigation, Experience within Path Planning", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "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 Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDEs 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 an SDE-I, 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 intern/co-ops 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. Please note that by applying to this role you would be considered for Software Development Engineer summer intern and spring/fall co-op roles on various Robotics teams. You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer. 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 including on-call duties. • Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues. • Design, develop and test software components that interact with fulfillment center technologies, such as robotics, material handling equipment, computer vision, and cloud services. A day in the life As an SDE intern/co-op, 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/co-ops throughout your internship. No matter the location of your internship/co-op, we give you the tools to own your project and learn in a real-world setting. About the team Learn more about Robotics at Amazon: https://amazon.jobs/en/teams/amazon-robotics https://www.aboutamazon.com/news/operations/amazon-robotics-robots-fulfillment-center https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model Basic Qualifications: - Are 18 years of age or older - Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields - 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 Preferred Qualifications: - Experience from previous technical internship(s) or demonstrated project experience - Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems - Strong problem-solving and analytical skills; Excellent written and verbal communication skills - Demonstrated ability to learn and adapt to new technologies quickly - Basic understanding of software development lifecycle (SDLC) - Experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $47.84/hr in our lowest geographic market up to $96.15/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Robotics - Software Development Engineer Intern/Co-op - 2026 at Amazon.com Services LLC. Skills: Software Development, Robotics, Cloud-native architectures, Microservices. Collaborate with Amazonians to design products. Build innovative products", "postedDate" : "2026-06-13T08:55:11.484", "createdAt" : "2026-06-13T08:55:11.484", "lastUpdated" : "2026-06-15T03:54:46.059", "ingestTimestamp" : "2026-06-13T08:55:11.484", "mongoId" : "693072a370f0b99d58ffb611", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136266/apply", "salaryAnnualMin" : 9950720, "salaryAnnualMax" : 19999200, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data structure implementation", "Algorithm development", "Object-oriented design", "Software Development", "Robotics", "Cloud-native architectures", "Microservices", "Problem-solving", "Analytical skills", "Agile environment", "CI/CD principles", "Computer vision", "Machine learning", "Optimization", "Manipulation", "Perception", "Motion planning", "Controls", "Movement", "Autonomous navigation", "Path planning", "Fulfillment center technologies", "Cloud services", "Distributed computing environment", "Version control systems" ], "skillCount" : 25, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c7b5474d8ee00a0949323", "title" : "Agile Software Engineer - Co-op", "company" : "TribalScale", "industry" : "Technology", "salary" : { "min" : 40000.0, "max" : 55000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level co-op/internship roles in the technology industry in Toronto, Canada, adjusted for seniority and employment type." }, "location" : "Toronto, Ontario, Canada", "locations" : [ "Toronto", "Ontario", "Canada" ], "timestamp" : "2026-06-15T07:39:41.486", "fingerprint" : "163d5a83a48710eea9d6b3fcf874f249c499813a7a728c2d47aed0d83e25b10f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tribalscale/jobs/4687337006", "externalId" : "4687337006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "INTERNSHIP", "technicalSkills" : "AI, LLMs, APIs, Agentic workflows, LLM-powered features", "professionalSkills" : [ "Digital transformation", "System design" ], "hardSkillsList" : [ "Code generation", "Debugging", "Code iteration", "API interaction", "Workflow automation" ], "softSkillsList" : [ "Bold innovator", "Curious" ], "hardSkills" : [ { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Code iteration", "level" : "intermediate" }, { "name" : "API interaction", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Bold innovator" }, { "name" : "Curious" } ], "majorSkills" : "AI agents, Automation, LLM applications", "majorSkillsList" : [ "AI agents", "Automation", "LLM applications" ], "coreResponsibilities" : "Build full-stack applications, Work on client projects, Collaborate with engineers, Use AI tools, Generate code, Refine code, Debug code, Iterate faster, Explore technical approaches, Design agentic workflows, Execute multi-step tasks, Interact with APIs, Integrate LLM features, Build agentic systems, Support product functionality, Support internal workflows, Design scalable systems, Design maintainable systems, Participate in Agile ceremonies", "teamCollaboration" : "Pair programming; AI-assisted development; High-performance team; Collaborative team", "projectManagementSkills" : [ "Agile methodologies", "Sprint planning", "Retrospectives" ], "domainKnowledge" : "AI-powered ecosystems; Agent-driven environment; AI orchestration; AI reasoning; AI action", "domainList" : [ "ai-powered-ecosystems", "agent-driven-environment", "ai-orchestration", "ai-reasoning", "ai-action" ], "domainSpecificKnowledge" : [ "AI-powered ecosystems", "Agent-driven environment", "AI orchestration", "AI reasoning", "AI action" ], "toolProficiency" : [ "Copilot", "Claude" ], "continuousLearning" : "Mentorship opportunities; Accelerate technical growth", "innovationCreativity" : "Innovation; Hackathons; Prototype development", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "Full-stack applications, Real client projects, Agile ceremonies", "qualificationsPreferred" : "Side projects, Hackathons, Learning new technologies quickly", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Shape the Future with TribalScale At TribalScale, we're not just participating in digital transformation—we're driving it. As global leaders in innovation, we combine Agile methodologies and cutting-edge AI, including Large Language Models (LLMs), to create digital solutions that propel enterprises into the future. Based in Toronto with a hybrid workforce across the Americas, we're on an ambitious mission to \"Right the Future.\" If you're a bold innovator ready to push the boundaries of what's possible, we invite you to join our team of digital pioneers. Our Digital Expertise Transformation Experts: We transform traditional business models into agile, AI-powered ecosystems. Strategic Visionaries: We navigate the uncharted waters of technological evolution. Product Virtuosos: We orchestrate the creation of world-class digital solutions. Code Optimizers: We leverage AI to refine and perfect digital systems. Our Technological Toolkit Mobile you seek a calling—a chance to make a lasting impact on the digital landscape. Your Responsibilities Build full-stack applications using modern technologies (frontend, backend, APIs) Work on real client projects across a variety of industries Collaborate with engineers through pair programming and AI-assisted development Use AI tools (Copilot, Claude, etc.) to: Generate and refine code Debug and iterate faster Explore alternative technical approaches Design and build agentic workflows where AI systems: Execute multi-step tasks Interact with APIs and external tools Support product functionality and internal workflows Integrate LLM-powered features such as: Intelligent assistants Automated workflows Context-aware user experiences Contribute to the design of scalable, maintainable systems that combine traditional software engineering with AI-driven logic and orchestration Participate in Agile ceremonies including standups, sprint planning, and retrospectives What You Will Do Work on real client products from your first day instead of internal training projects Gain hands-on experience building software in an AI-native, agent-driven environment Learn how modern engineering teams use AI to accelerate development and problem-solving Work alongside experienced engineers, product leaders, and founders Develop practical skills in AI agents, automation, and LLM-powered applications Gain exposure to how leading companies are adopting AI and agentic systems in production Join a high-performance, collaborative team with strong mentorship opportunities Build skills that are shaping the future of software development Ideal for students who enjoy side projects, hackathons, and learning new technologies quickly Opportunity to accelerate technical growth faster than a traditional co-op placement Learn how to design systems where AI can reason, act, and automate tasks, not just generate content Work on meaningful projects that impact real users and businesses Strong fit for candidates who are curious, proactive, and excited about the future of AI-powered engineering Why Choose TribalScale At TribalScale, collaboration is at the heart of our innovative approach. We don't simply work for clients; we form partnerships, building transformative solutions that redefine what's possible. Our team, once at the forefront of the mobile revolution, now leads the charge in AI-driven innovation. We empower each team member to be a catalyst for change, adhering to our principles of meritocracy, empowerment, and transparency. Diversity isn't just celebrated—it's fundamental to our strength. Our mission to \"Right the Future\" is a call to action to make a significant impact in the world of innovation. Diversity: Our Collective Strength TribalScale proudly stands as a beacon of equal opportunity in employment and workplace culture. We are steadfastly committed to equal employment opportunity, transcending the boundaries of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, able-bodiedness, or gender identity. We not only welcome but actively encourage applications from individuals of all abilities, ages, citizenships, marital statuses, and gender identities. Your unique perspective is the key to our collective innovation. Should you require any accommodations, we implore you to inform us. Our commitment to inclusivity knows no bounds, and we stand ready to adapt our processes to ensure your comfort and success.", "summaryDescription" : "Agile Software Engineer - Co-op at TribalScale. Skills: AI agents, Automation, LLM applications. Build full-stack applications. Work on client projects", "postedDate" : "2026-06-13T20:21:19.026", "createdAt" : "2026-06-13T20:21:19.026", "lastUpdated" : "2026-06-15T07:39:41.486", "ingestTimestamp" : "2026-06-13T20:21:19.026", "mongoId" : "6a2c7b5474d8ee00a0949323", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Code generation", "Debugging", "Code iteration", "API interaction", "Workflow automation", "Bold innovator", "Curious", "AI agents", "Automation", "LLM applications", "Digital transformation", "System design", "Agile methodologies", "Sprint planning", "Retrospectives", "AI-powered ecosystems", "Agent-driven environment", "AI orchestration", "AI reasoning", "AI action", "Copilot", "Claude" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7dc474d8ee00a0950b7f", "title" : "Embedded Computer Vision Engineer", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Embedded Computer Vision Engineer in Taiwan, adjusted for mid-level experience and the technology industry." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T09:13:50.947", "fingerprint" : "eff08ba10cd171b14f8ab2e4a3f71e82f9810361f9e93770a40a48437069ecc0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4202782009", "externalId" : "4202782009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, C/C++, Deep learning, ONNX, TensorRT, QNN, PyTorch, TensorFlow, LLMs, VLMs", "professionalSkills" : [ "System design", "Project execution" ], "hardSkillsList" : [ "Object detection", "Event triggering", "Tracking", "Model optimization", "Quantization", "Pruning", "Compression", "Performance debugging", "Action recognition", "Video analytics" ], "hardSkills" : [ { "name" : "Object detection", "level" : "intermediate" }, { "name" : "Event triggering", "level" : "intermediate" }, { "name" : "Tracking", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Quantization", "level" : "intermediate" }, { "name" : "Pruning", "level" : "intermediate" }, { "name" : "Compression", "level" : "intermediate" }, { "name" : "Performance debugging", "level" : "intermediate" }, { "name" : "Action recognition", "level" : "intermediate" }, { "name" : "Video analytics", "level" : "intermediate" } ], "majorSkills" : "Embedded AI, Computer vision, Deep learning deployment", "majorSkillsList" : [ "Embedded AI", "Computer vision", "Deep learning deployment" ], "coreResponsibilities" : "Develop on-camera AI pipelines, Maintain on-camera AI pipelines, Port deep learning models, Convert deep learning models, Optimize deep learning models, Integrate AI inference engines, Validate AI inference engines, Collaborate with hardware teams, Collaborate with firmware teams, Train computer vision models, Fine-tune computer vision models, Benchmark computer vision models, Profile performance bottlenecks, Debug performance bottlenecks, Build reusable frameworks, Improve reusable frameworks, Build CI/CD pipelines, Improve CI/CD pipelines", "teamCollaboration" : "Cross-functional teams; International teams", "domainKnowledge" : "AI camera solutions; NPU acceleration; Edge AI; Resource-constrained devices", "domainList" : [ "ai-camera-solutions", "npu-acceleration", "edge-ai", "resource-constrained-devices" ], "domainSpecificKnowledge" : [ "AI camera solutions", "NPU acceleration", "Edge AI", "Resource-constrained devices" ], "toolProficiency" : [ "ONNX Runtime", "SNPE" ], "problemSolvingSkills" : "Performance debugging", "qualificationsBasic" : "MS or PhD, 3+ years professional experience, Python and C/C++ proficiency, Deep learning framework experience, Model optimization techniques experience, English communication skills", "qualificationsPreferred" : "Computer vision or NLP experience, Deploying models on embedded platforms, NPU or AI accelerator hardware experience, Model conversion toolchains experience, NPI or product development lifecycle experience, LLMs and VLMs familiarity, CI/CD, automated testing, or MLOps experience, Project ownership or mentoring experience", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for an experienced Embedded Computer Vision Engineer to join our growing AI team. In this role, you will work across the full lifecycle of AI-powered camera products — from training and optimizing deep learning models, to deploying them on embedded camera platforms with NPU acceleration, to building the on-device applications that enable intelligent camera features. You will collaborate closely with software, firmware, and hardware teams to deliver high-quality, production-ready AI camera solutions. Responsibilities (What he/she will do after joining UI) Develop and maintain on-camera AI application pipelines, including object detection, event triggering, tracking, and camera peripheral control Port, convert, and optimize deep learning models for deployment across multiple SoC/NPU platforms while maintaining accuracy and real-time performance Integrate and validate AI inference engines with vendor-specific NPU SDKs and toolchains such as ONNX, TensorRT, QNN, or similar frameworks Collaborate with hardware and firmware teams on New Product Introduction (NPI) for next-generation AI cameras, from early SoC evaluation through production bring-up Train, fine-tune, and benchmark computer vision models for tasks such as detection, classification, action recognition, and video analytics Profile and debug performance bottlenecks across CPU, GPU, and NPU to meet latency, throughput, and power constraints Build and improve reusable frameworks, tools, and CI/CD pipelines for model conversion, testing, and deployment at scale Contribute to technical direction and system design for AI camera platforms; candidates with leadership experience may also help guide project execution and mentor engineers Requirement (Must-Haves) MS or PhD in Computer Science, Electrical Engineering, or a related field or equivalent practical experience 3+ years of professional experience in edge AI system deployment Strong proficiency in Python and C/C++ Hands-on experience with at least one deep learning framework such as PyTorch or TensorFlow Experience with model optimization techniques such as quantization, pruning, knowledge distillation, or compression for resource-constrained devices Strong English communication skills, with the ability to collaborate effectively across international and cross-functional teams Preferred Qualifications Experience in computer vision or NLP, including deep learning applications such as action recognition, anomaly detection, or video analytics Experience deploying deep learning models on embedded or edge platforms with NPU or AI accelerator hardware such as Ambarella, Qualcomm, InnoFusion, MediaTek, or similar SoCs Familiarity with model conversion toolchains and runtime engines such as TensorRT, ONNX Runtime, or SNPE Hands-on experience in NPI or product development lifecycle for camera or IoT hardware Familiarity with Large Language Models (LLMs) and Vision Language Models (VLMs) is a plus Experience with CI/CD, automated testing, or MLOps for edge AI deployment is a plus Demonstrated project ownership or mentoring experience is a plus Self-motivated, collaborative, and comfortable working in a fast-paced environment with challenging technical problems", "summaryDescription" : "Embedded Computer Vision Engineer at Ubiquiti. Skills: Embedded AI, Computer vision, Deep learning deployment. Develop on-camera AI pipelines. Maintain on-camera AI pipelines", "postedDate" : "2026-06-14T03:16:41.360", "createdAt" : "2026-06-14T03:16:41.360", "lastUpdated" : "2026-06-15T09:13:50.947", "ingestTimestamp" : "2026-06-14T03:16:41.360", "mongoId" : "6a2c7dc474d8ee00a0950b7f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Object detection", "Event triggering", "Tracking", "Model optimization", "Quantization", "Pruning", "Compression", "Performance debugging", "Action recognition", "Video analytics", "Embedded AI", "Computer vision", "Deep learning deployment", "System design", "Project execution", "AI camera solutions", "NPU acceleration", "Edge AI", "Resource-constrained devices", "ONNX Runtime", "SNPE" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c68b874d8ee00a09046cf", "title" : "Software Architect - Machine Learning", "company" : "Beyond Sports", "industry" : "Beyond Sports", "salary" : { "min" : 61860.0, "max" : 83190.0, "currency" : "GBP", "frequency" : "Yearly" }, "location" : "London, Kennington", "locations" : [ "London, Kennington", "Basingstoke" ], "timestamp" : "2026-06-16T05:09:29.042", "fingerprint" : "4ef40bf3db7971b1a6c8966ac89dcdbe9b2b73814d079b1ed7542b7da5ae609c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/wearebeyondsports/0f830524-7411-4531-b65c-0207fafe8d5d/application", "externalId" : "0f830524-7411-4531-b65c-0207fafe8d5d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Machine Learning, PyTorch, TensorFlow, APIs, Cloud-native systems, ML systems, Data pipelines, Backend engineering, Cloud infrastructure, MLOps tooling, AWS, Azure, GCP, Real-time systems, Motion synthesis, 3D graphics, Unity", "professionalSkills" : [ "Technical architecture", "System design", "Implementation strategy", "Technical leadership", "Data processing", "Geometry pipelines" ], "hardSkillsList" : [ "ML systems", "Data pipelines", "Backend engineering", "Cloud infrastructure", "MLOps tooling", "Real-time systems", "Motion synthesis", "3D graphics" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ML systems", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Backend engineering", "level" : "intermediate" }, { "name" : "Cloud infrastructure", "level" : "intermediate" }, { "name" : "MLOps tooling", "level" : "intermediate" }, { "name" : "Real-time systems", "level" : "intermediate" }, { "name" : "Motion synthesis", "level" : "intermediate" }, { "name" : "3D graphics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Machine Learning, Technical architecture, ML systems, Cloud infrastructure", "majorSkillsList" : [ "Machine Learning", "Technical architecture", "ML systems", "Cloud infrastructure" ], "coreResponsibilities" : "Shape architecture, Shape technical direction, Shape implementation strategy, Design intelligent systems, Transform live sports data, Create immersive digital experiences, Evaluate approaches for inference pipelines, Evaluate approaches for motion synthesis, Build Proof of Concepts, Review model deployment strategies, Solve architecture challenges, Solve integration challenges, Guide technical implementation, Ensure solutions are scalable, Ensure solutions are reusable, Ensure solutions are maintainable, Align solutions with standards", "teamCollaboration" : "Machine Learning Engineers; Tech Leads; Product teams; Team Architects; Multidisciplinary engineering teams", "domainKnowledge" : "Sports data; AI-driven storytelling; Motion synthesis; Real-time data processing; 2D-to-3D geometry; Cloud-hosted ML services; Sports entertainment", "domainList" : [ "sports-data", "ai-driven-storytelling", "motion-synthesis", "real-time-data-processing", "2d-to-3d-geometry", "cloud-hosted-ml-services", "sports-entertainment" ], "domainSpecificKnowledge" : [ "Sports data", "AI-driven storytelling", "Motion synthesis", "Real-time data processing", "2D-to-3D geometry", "Cloud-hosted ML services", "Sports entertainment" ], "toolProficiency" : [ "MLflow", "CI/CD", "Unity" ], "communicationSkills" : "Technical solutions; Technical audiences; Non-technical audiences", "continuousLearning" : "Machine learning research; Real-time 3D systems", "innovationCreativity" : "Experiment boldly; Build POCs; Define future of ML systems", "problemSolvingSkills" : "Complex technical challenges; Complex architecture challenges; Complex integration challenges", "qualificationsBasic" : "Experience in machine learning engineering, Software architecture experience, Technical leadership experience, Deep expertise in ML systems, Deep expertise in data pipelines, Deep expertise in backend engineering, Deep expertise in cloud infrastructure, Hands-on experience with PyTorch, Hands-on experience with TensorFlow, Understanding of scalable APIs, Understanding of cloud-native systems, Understanding of modern engineering practices, Experience creating Proof of Concepts, Experience evaluating technical approaches, Ability to communicate technical solutions, Experience collaborating across teams, Willingness to work on-site", "qualificationsPreferred" : "Experience deploying ML models, Familiarity with MLOps tooling, Experience with AWS, Experience with Azure, Experience with GCP, Understanding of real-time systems, Understanding of motion synthesis, Understanding of 3D graphics pipelines, Experience with Unity, Interest in football, Interest in team sports", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "JOIN OUR TEAM AS A TEAM ARCHITECT (MACHINE LEARNING FOCUS) AT BEYOND SPORTS Are you excited about machine learning, technical architecture, and building the intelligent systems powering the future of sports entertainment? At Beyond Sports, we don’t just visualize sports — we reinvent how fans experience them. Together with partners like NFL, NHL, FIFA, and Disney, we push the boundaries of real-time sports data, 3D graphics, and AI-driven storytelling. If you’re passionate about machine learning architecture, scalable technical solutions, and guiding engineering teams through complex technical challenges, this could be your next move. WHAT YOUR DAY WILL LOOK LIKE As a Team Architect (Machine Learning Focus), you’ll act as the specialist technical authority within your discipline — helping shape the architecture, technical direction, and implementation strategy behind our ML-driven products and platforms. You’ll work closely with Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects to design intelligent systems that transform live sports data into immersive digital experiences. Your role combines strategic thinking with hands-on technical leadership. One day you might be evaluating approaches for scalable inference pipelines or motion synthesis systems. The next, you could be building Proof of Concepts, reviewing model deployment strategies, or helping squads solve complex architecture and integration challenges. You’ll guide technical implementation across areas such as trajectory prediction, motion synthesis, real-time data processing, 2D-to-3D geometry pipelines, and cloud-hosted ML services. You’ll also ensure solutions are scalable, reusable, maintainable, and aligned with wider engineering standards across the business. WHAT WE VALUE At Beyond Sports, we move fast, experiment boldly, and trust our people. We believe the best results happen when engineers, ML specialists, artists, and creatives work closely together to build things that genuinely haven’t existed before. You’ll fit right in if you: - Love applied machine learning and technical architecture You enjoy designing scalable systems and turning complex technical ideas into practical solutions. - Think in systems and implementation strategy You naturally balance innovation, scalability, maintainability, and delivery requirements. - Stay hands-on technically You enjoy prototyping, validating ideas through code, and supporting engineers with difficult technical challenges. - Collaborate naturally You can communicate technical approaches clearly across disciplines and with non-technical stakeholders. - Care about quality and reusability You value maintainable systems, reusable tooling, and strong engineering standards. - Stay curious You actively follow developments in machine learning, cloud infrastructure, and modern engineering practices. YOUR BACKGROUND You don’t need to tick every box, but we’re generally looking for: - Strong experience in machine learning engineering, software architecture, or technical leadership - Deep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructure - Hands-on experience with PyTorch, TensorFlow, or similar ML frameworks - Strong understanding of scalable APIs, cloud-native systems, and modern engineering practices - Experience creating Proof of Concepts and evaluating technical approaches - Ability to communicate technical solutions clearly to technical and non-technical audiences - Experience collaborating across multidisciplinary engineering teams - Willingness to work on-site in our Alkmaar office NICE TO HAVE (BUT NOT REQUIRED) - Experience deploying ML models into production environments - Familiarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoring - Experience with AWS, Azure, or GCP - Understanding of real-time systems, motion synthesis, or 3D graphics pipelines - Experience with Unity or other game engines - Interest in football or team sports WHY LEVEL UP YOUR CAREER AT BEYOND SPORTS Fast-moving, creative, and technically ambitious — that’s our world. - High impact: Your work helps shape how millions experience sports globally - Technical ownership: Influence implementation strategy, architecture, and engineering standards - Hands-on innovation: Build POCs and help define the future of our ML systems - Constant learning: From machine learning research to real-time 3D systems, there’s always something new - Real collaboration: Engineers, artists, ML specialists, and product teams working side by side And we make sure it’s a great place to work: - 25 days of paid leave per year - Pension program - Lunch included - Gym card - Alkmaar Only - Fresh fruit, great coffee, and Friday drinks - Bi-monthly team outings - Office games like FIFA, chess, and ping-pong - Sony Benefits and much more! READY TO BUILD THE FUTURE OF SPORTS? If you’re excited about shaping machine learning architecture, solving complex technical challenges, and building systems that transform how fans experience sports — we’d love to hear from you. At Beyond Sports, you won’t just design technical solutions. You’ll help bring sports to life. ", "summaryDescription" : "Software Architect - Machine Learning at Beyond Sports. Skills: Machine Learning, Technical architecture, ML systems, Cloud infrastructure. Shape architecture. Shape technical direction", "createdAt" : "2026-06-14T19:17:54.501", "lastUpdated" : "2026-06-16T05:09:29.042", "ingestTimestamp" : "2026-06-14T19:17:54.501", "mongoId" : "6a2c68b874d8ee00a09046cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "ML systems", "Data pipelines", "Backend engineering", "Cloud infrastructure", "MLOps tooling", "Real-time systems", "Motion synthesis", "3D graphics", "Leadership", "Machine Learning", "Technical architecture", "System design", "Implementation strategy", "Technical leadership", "Data processing", "Geometry pipelines", "Sports data", "AI-driven storytelling", "Real-time data processing", "2D-to-3D geometry", "Cloud-hosted ML services", "Sports entertainment", "MLflow", "CI/CD", "Unity" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb20874d8ee00a09df02a", "title" : "Computer Vision Engineer", "industry" : "IT", "salary" : { "min" : 120000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-15T22:55:55.555", "fingerprint" : "7ee9ce4d6030c4072caa921f800e7069ba380c865d7155e5123f693eb1c0d39c", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/41259d55-835d-42d0-a8e0-0e8206d86bdf/apply", "externalId" : "41259d55-835d-42d0-a8e0-0e8206d86bdf", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, C++, OpenCV, PyTorch, Deep learning, Object detection, Segmentation, 3D vision, SLAM, Photogrammetry, Spatial reconstruction, Geospatial data, Point clouds, Visual-inertial systems, Cloud platforms, Microservices, APIs, NoSQL databases", "professionalSkills" : [ "Computer vision modeling", "AI model training", "Backend systems development", "Cloud deployment", "Solution integration" ], "hardSkillsList" : [ "3D reconstruction", "Mesh generation", "Point cloud processing" ], "softSkillsList" : [ "Collaborative attitude" ], "hardSkills" : [ { "name" : "3D reconstruction", "level" : "intermediate" }, { "name" : "Mesh generation", "level" : "intermediate" }, { "name" : "Point cloud processing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Collaborative attitude" } ], "majorSkills" : "Computer vision, 3D reconstruction, Deep learning, Microservices", "majorSkillsList" : [ "Computer vision", "3D reconstruction", "Deep learning", "Microservices" ], "coreResponsibilities" : "Design computer vision models, Develop computer vision models, Deploy computer vision models, Train AI models, Fine-tune AI models, Work on Structure-from-Motion, Work on 3D reconstruction, Work on photogrammetry, Work on point cloud processing, Work on mesh generation, Develop backend systems, Maintain backend systems, Deploy applications, Optimize applications, Collaborate with cross-functional teams, Integrate computer vision solutions", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Object detection; Segmentation; 3D scene understanding; Structure-from-Motion; 3D reconstruction; Photogrammetry; Point cloud processing; Mesh generation; SLAM; Spatial reconstruction; Geospatial data; Visual-inertial systems; Microservice architecture; Cloud environments", "domainList" : [ "object-detection", "segmentation", "3d-scene-understanding", "structure-from-motion", "3d-reconstruction", "photogrammetry", "point-cloud-processing", "mesh-generation", "slam", "spatial-reconstruction", "geospatial-data", "visual-inertial-systems", "microservice-architecture", "cloud-environments" ], "domainSpecificKnowledge" : [ "Object detection", "Segmentation", "3D scene understanding", "Structure-from-Motion", "3D reconstruction", "Photogrammetry", "Point cloud processing", "Mesh generation", "SLAM", "Spatial reconstruction", "Geospatial data", "Visual-inertial systems", "Microservice architecture", "Cloud environments" ], "toolProficiency" : [ "OpenCV", "PyTorch" ], "innovationCreativity" : "Cutting-edge AI technologies; 3D computer vision technologies", "specialRequirements" : "Work in EST working hours", "qualificationsBasic" : "Proven experience building computer vision solutions, Proficiency in Python, Proficiency in C++, Hands-on experience using OpenCV, Hands-on experience using PyTorch, Solid understanding of deep learning architectures, Experience working with 3D vision topics, Familiarity with geospatial data, Familiarity with point clouds, Familiarity with visual-inertial systems, Knowledge of cloud platforms, Knowledge of production deployment practices, Experience with microservices, Experience with APIs, Experience with NoSQL databases, Ability to work effectively in EST working hours", "qualificationsPreferred" : "Bachelor’s degree in Computer Science, Bachelor’s degree in Engineering, Bachelor’s degree in Mathematics, Bachelor’s degree in a related technical field", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, develop, and deploy computer vision models for real-world applications including object detection, segmentation, and 3D scene understanding. Train and fine-tune AI models using custom datasets, ensuring high performance and robustness in production environments. Work on Structure-from-Motion, 3D reconstruction, photogrammetry, point cloud processing, and mesh generation workflows. Develop and maintain scalable backend systems using microservice architecture, APIs, and NoSQL databases. Deploy and optimize applications in cloud environments, ensuring reliability and performance at scale. Collaborate with cross-functional teams to integrate computer vision solutions into end-to-end platforms. Requirements: Proven experience building and deploying computer vision solutions for real-world use cases. Strong proficiency in Python and C++, with hands-on experience using OpenCV, PyTorch, and related frameworks. Solid understanding of deep learning architectures for object detection, segmentation, and related vision tasks. Experience working with 3D vision topics such as SLAM, photogrammetry, and spatial reconstruction. Familiarity with geospatial data, point clouds, and visual-inertial systems. Knowledge of cloud platforms and production deployment practices. Experience with microservices, APIs, and NoSQL databases in production systems. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field preferred. Self-starter mindset with strong ownership, resilience, and a collaborative attitude. Ability to work effectively in EST working hours to collaborate with international teams. Benefits: Competitive salary range: $120,000 – $130,000 (semi-monthly structure). 100% remote work flexibility. Flexible paid time off (PTO). Comprehensive medical, dental, vision, and life insurance coverage. People-first culture emphasizing collaboration and inclusivity. Opportunity to work on cutting-edge AI and 3D computer vision technologies. Mission-driven work contributing to clean energy and sustainability impact. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Computer Vision Engineer. Skills: Computer vision, 3D reconstruction, Deep learning, Microservices. Design computer vision models. Develop computer vision models", "postedDate" : "2026-06-12T09:51:10.924", "createdAt" : "2026-06-12T09:51:10.924", "lastUpdated" : "2026-06-15T22:55:55.555", "ingestTimestamp" : "2026-06-14T21:09:44.232", "mongoId" : "6a2cb20874d8ee00a09df02a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 1440000, "salaryAnnualMax" : 1560000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "3D reconstruction", "Mesh generation", "Point cloud processing", "Collaborative attitude", "Computer vision", "Deep learning", "Microservices", "Computer vision modeling", "AI model training", "Backend systems development", "Cloud deployment", "Solution integration", "Object detection", "Segmentation", "3D scene understanding", "Structure-from-Motion", "Photogrammetry", "SLAM", "Spatial reconstruction", "Geospatial data", "Visual-inertial systems", "Microservice architecture", "Cloud environments", "OpenCV", "PyTorch" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68ed10ae70f0b99d58e7bce1", "title" : "Amazon Robotics - Applied Scientist II Intern / Co-op - 2026 (Robotics, Manipulation, Perception, Motion Planning, Autonomous Mobile Robots, Computer Vision, Machine Learning, Controls, and more)", "company" : "Amazon. com Services LLC", "industry" : "Research Science, Applied Science, subsidiaries", "salary" : { "min" : 65.0, "max" : 107.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "North Reading, Massachusetts, USA", "locations" : [ "North Reading, Massachusetts, USA" ], "timestamp" : "2026-06-15T06:06:13.060", "fingerprint" : "b4ca434bac0a4eabebdf96537adc74b20fddfe73923de46f795962245f0165ab", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3104589/apply", "externalId" : "16d5338e-9092-41c8-9999-1847f1fada31", "industryFunction" : { }, "structuredLocations" : [ { "city" : "North Reading", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.5750939,-71.0786653" } ], "locationText" : "North Reading, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning, Controls, Autonomous Navigation, Path Planning, Java, C++, Python", "professionalSkills" : [ "Robotic research", "Algorithm development", "Computational complexity", "System prototypes" ], "hardSkillsList" : [ "Robotics research", "Algorithm development", "Analysis of algorithms", "Computational complexity" ], "softSkillsList" : [ "Problem solving", "Teamwork" ], "hardSkills" : [ { "name" : "Robotics research", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Analysis of algorithms", "level" : "intermediate" }, { "name" : "Computational complexity", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solving" }, { "name" : "Teamwork" } ], "majorSkills" : "Robotics, Machine Learning, Computer Vision, Motion Planning", "majorSkillsList" : [ "Robotics", "Machine Learning", "Computer Vision", "Motion Planning" ], "coreResponsibilities" : "Work on algorithms for robotics, Work on robotic technologies, Develop algorithms for robotics, Coordinate motion of robots, Navigate autonomously in warehouses, Identify objects and damage, Learn to grasp products, Develop system prototypes, See project through from research concept to working", "teamCollaboration" : "Collaborative teams; Cross-functional teams", "domainKnowledge" : "Robotics; Autonomous mobile robots; Robot manipulators; AI; Computer vision; Robotic manipulation; Mobile robotics; Navigation; Path planning; Perception; Optimization; Machine Learning; Controls", "domainList" : [ "robotics", "autonomous-mobile-robots", "robot-manipulators", "ai", "computer-vision", "robotic-manipulation", "mobile-robotics", "navigation", "path-planning", "perception", "optimization", "machine-learning", "controls" ], "domainSpecificKnowledge" : [ "Robotics", "Autonomous mobile robots", "Robot manipulators", "AI", "Computer vision", "Robotic manipulation", "Mobile robotics", "Navigation", "Path planning", "Perception", "Optimization", "Machine Learning", "Controls" ], "communicationSkills" : "Present complex technical information", "innovationCreativity" : "Invention; Invent new improvements", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "18 years of age or older, Currently enrolled in a PhD program, Eligible for full-time internship, At least 1 year of relevant academic research or industry experience, Experience programming in Java, C++, Python, or related", "qualificationsPreferred" : "Publication(s) at top-tier conferences or journals, Ability to develop system prototypes, Demonstrated ability to work on collaborative and cross-functional teams, Drive to see a project through from research concept to working prototype, Algorithm development experience, Working knowledge of analysis of algorithms, Working knowledge of computational complexity, Familiarity with state-of-the-art algorithms in field of expertise", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun. Amazon Robotics is seeking Applied Science Interns and Co-ops with a passion for robotic research to work on algorithms for robotics. Our team works on challenging and high-impact projects within robotics. Examples of projects include allocating resources to complete million orders a day, coordinating the motion of thousands of robots, autonomous navigation in warehouses, identifying objects and damage, and learning how to grasp all the products Amazon sells. As an Applied Science Intern/Co-op at Amazon Robotics, you will be working on one or more of our robotic technologies such as autonomous mobile robots, robot manipulators, and AI, computer vision technologies. The intern/co-op project(s) and the internship/co-op location are based on the team the student will be working on. Please note that by applying to this role you would be considered for Applied Scientist summer intern, spring co-op, and fall co-op roles on various Amazon Robotics teams. These teams work on robotics research within areas such as computer vision, machine learning, robotic manipulation, mobile robotics, navigation, path planning, perception, optimization and more. Learn more about Amazon Robotics: https://amazon.jobs/en/teams/amazon-robotics https://www.aboutamazon.com/news/operations/amazon-robotics-robots-fulfillment-center https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model Basic Qualifications: - Are 18 years of age or older - Currently enrolled in a PhD program in Computer Science, Robotics, Engineering, Machine Learning, Operations Research, Mathematics, or a related quantitative field - Must be eligible for and available for full-time (40 hours per week) internship in person based out of the assigned office location for the whole duration of the internship/co-op - At least 1 year of relevant academic research or industry experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related - Experience programming in Java, C++, Python, or related Preferred Qualifications: - Publication(s) at top-tier peer-reviewed conferences or journals - Ability to develop system prototypes - Demonstrated ability to work on collaborative and cross-functional teams - Drive to see a project through from research concept to working prototype - Strong algorithm development experience - A working knowledge of analysis of algorithms and computational complexity - Familiarity with state-of-the-art algorithms in field of expertise - Excellent creative problem-solving skills - Strong written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Amazon Robotics - Applied Scientist II Intern / Co-op - 2026 (Robotics, Manipulation, Perception, Motion Planning, Autonomous Mobile Robots, Computer Vision, Machine Learning, Controls, and more) at Amazon. com Services LLC. Skills: Robotics, Machine Learning, Computer Vision, Motion Planning. Work on algorithms for robotics. Work on robotic technologies", "postedDate" : "2026-06-13T09:02:07.767", "createdAt" : "2026-06-13T09:02:07.767", "lastUpdated" : "2026-06-15T06:06:13.060", "ingestTimestamp" : "2026-06-13T09:02:07.767", "mongoId" : "68ed10ae70f0b99d58e7bce1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3104589/apply", "salaryAnnualMin" : 135200, "salaryAnnualMax" : 222560, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Robotics research", "Algorithm development", "Analysis of algorithms", "Computational complexity", "Problem solving", "Teamwork", "Robotics", "Machine Learning", "Computer Vision", "Motion Planning", "Robotic research", "System prototypes", "Autonomous mobile robots", "Robot manipulators", "AI", "Computer vision", "Robotic manipulation", "Mobile robotics", "Navigation", "Path planning", "Perception", "Optimization", "Controls" ], "skillCount" : 23, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Robotics" }, { "id" : "69cf11c72beec4dd3d8e6cac", "title" : "Co-Op (Existing)", "company" : "Mercedes-Benz U. 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International, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 41000.0, "max" : 55000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level co-op in manufacturing in Vance, Alabama, adjusted for company size and industry." }, "location" : "United States of America-Alabama -Vance", "locations" : [ "United States of America-Alabama -Vance", "1 Mercedes-Drive, , Vance" ], "timestamp" : "2026-06-15T13:59:15.824", "fingerprint" : "154dc0a020d7205edfcb6bff4ba106f2d80489329635f043182b60c7f7762e76", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=877201", "externalId" : "877201", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vance", "state" : "Alabama", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.1742847,-87.2336092" } ], "locationText" : "Vance, Alabama, United States", "employmentType" : "INTERNSHIP", "qualificationsBasic" : "Current Co-Op Students", "remoteFriendly" : false, "rawDescription" : "This job posting is only for current Co-Op Students to apply to. QUALIFICATIONS: External : This job is only for current Co-Op Students to apply to. Mercedes-Benz U.S. International, Inc.", "summaryDescription" : "Co-Op (Existing) at Mercedes-Benz U. S. International, Inc.", "createdAt" : "2026-06-14T06:04:25.591", "lastUpdated" : "2026-06-15T13:59:15.824", "ingestTimestamp" : "2026-06-14T06:04:25.591", "mongoId" : "69cf11c72beec4dd3d8e6cac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41000, "salaryAnnualMax" : 55000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.85 }, { "id" : "68e6b1dc70f0b99d58d66e6a", "title" : "Amazon Robotics - Sensor Embedded Software Co-op - Spring 2026", "company" : "Amazon. com Services LLC", "industry" : "Software Development, subsidiaries", "salary" : { "min" : 99500.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "North Reading, Massachusetts, USA", "locations" : [ "North Reading, Massachusetts, USA" ], "timestamp" : "2026-06-15T06:32:35.485", "fingerprint" : "0a586179dbf348bdedb1381a3164f3b287eae7084865f6f9c631012b221e4f5a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102464/apply", "externalId" : "b6344cf3-385b-4858-a51d-60be144bf118", "industryFunction" : { }, "structuredLocations" : [ { "city" : "North Reading", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.5750939,-71.0786653" } ], "locationText" : "North Reading, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, C++, C, Java, C#, Go, Rust, TypeScript, Computer vision, Machine Learning, AI, Edge Computing, ROS, TCP/IP", "professionalSkills" : [ "Embedded systems", "Sensor technology", "Robotics systems", "Compute technology", "Product development", "Automation systems", "Robotic fleets" ], "hardSkillsList" : [ "Data structure implementation", "Algorithm development", "Object-oriented design", "Sensor fusion", "Embedded systems programming", "Embedded communications protocols", "Electronic schematics" ], "hardSkills" : [ { "name" : "Data structure implementation", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Object-oriented design", "level" : "intermediate" }, { "name" : "Sensor fusion", "level" : "intermediate" }, { "name" : "Embedded systems programming", "level" : "intermediate" }, { "name" : "Embedded communications protocols", "level" : "intermediate" }, { "name" : "Electronic schematics", "level" : "intermediate" } ], "majorSkills" : "Embedded software, Sensor technology, Robotics, AI on Edge", "majorSkillsList" : [ "Embedded software", "Sensor technology", "Robotics", "AI on Edge" ], "coreResponsibilities" : "Collaborate and communicate effectively with Amazonians, Design, build, and operate innovative products and services, Participate in technical discussions, Research emerging sensor technologies, Evaluate potential sensor applications, Collaborate with hardware teams, Collaborate with operations teams, Collaborate with third party suppliers, Develop new sensors, Develop embedded systems for AI on Edge Computing, Build sensor development infrastructure, Build sensor evaluation infrastructure, Build data processing tools, Build visualization tools, Advise internal teams on sensor stack design, Advise internal teams on sensor stack integration, Support product release to manufacturing, Support customer deployment, Participate in code reviews, Contribute to technical documentation, Demonstrate operational excellence, Monitor production issues, Troubleshoot production issues, Resolve production issues, Own designing automation systems, Own developing automation systems, Own integrating automation systems, Own troubleshooting automation systems, Own optimizing automation systems, Develop software features, Develop tools, Develop mechanisms to operate robotic fleets", "teamCollaboration" : "Cross-disciplinary teams; Cross-functional teams", "domainKnowledge" : "Embedded systems; Sensor technology; Robotics; AI on Edge; Computer vision; Machine Learning; Object recognition; Semantic understanding; Autonomous mobile robots; Fulfillment network; Warehouse operations; Workcells; Robotics testing labs; Manufacturing facilities; Embedded communications protocols; Sensor processing; Sensor applications; Sensor fusion; Simultaneous Localization and Mapping; Electronic schematics", "domainList" : [ "embedded-systems", "sensor-technology", "robotics", "ai-on-edge", "computer-vision", "machine-learning", "object-recognition", "semantic-understanding", "autonomous-mobile-robots", "fulfillment-network", "warehouse-operations", "workcells", "robotics-testing-labs", "manufacturing-facilities", "embedded-communications-protocols", "sensor-processing", "sensor-applications", "sensor-fusion", "simultaneous-localization-and-mapping", "electronic-schematics" ], "domainSpecificKnowledge" : [ "Embedded systems", "Sensor technology", "Robotics", "AI on Edge", "Computer vision", "Machine Learning", "Object recognition", "Semantic understanding", "Autonomous mobile robots", "Fulfillment network", "Warehouse operations", "Workcells", "Robotics testing labs", "Manufacturing facilities", "Embedded communications protocols", "Sensor processing", "Sensor applications", "Sensor fusion", "Simultaneous Localization and Mapping", "Electronic schematics" ], "toolProficiency" : [ "Git" ], "communicationSkills" : "Technical details communication", "documentationSkills" : "Technical documentation", "continuousLearning" : "Mentorship; Learning culture", "innovationCreativity" : "Research and development; Prototype development", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "specialRequirements" : "Minimum one quarter/semester/trimester remaining in studies after internship", "qualificationsBasic" : "Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related fields, 18 years of age or older, Experience with at least one general-purpose programming language (Java, Python, C++, C#, Go, Rust, or TypeScript), Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles", "qualificationsPreferred" : "Experience from previous technical internship(s) or demonstrated project experience, Experience communicating technical details verbally and in writing, Experience working with Git or equivalent distributed version control system, Experience programming in C++/C/Python, Experience working with sensors (2d and stereo cameras, Time-of-Flight sensors, Radar, and Lidar), Experience working with embedded communications protocols (I2C, SPI, UART and CAN-bus), Experience with sensor processing and applications (sensor fusion, computer vision, Machine Learning (ML), AI, SLAM, ROS), Familiar with networking, TCP/IP, Familiar with electronic schematics and test equipment (signal analyzers, oscilloscopes etc.), Demonstrated ability to learn and adapt to new technologies quickly", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "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? We are seeking a talented and motivated Embedded Software Co-op to research and develop next generation sensor and compute technology in robotics. We are a cross-disciplinary team aiming to enable broad use cases of sensor technology in Amazon Fulfillment network. The ideal candidate will be a self-starter with strong interest in embedded systems and sensors. The candidate needs to work well both independently and in team settings. Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers. We are combining computer vision and custom robots to solve real-world problems at huge scale. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Our team partners with a variety of customers across Amazon worldwide to conceive, develop, prototype and deploy a wide range of robotic systems. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. We are building a new, foundational automation system that will transform warehouse operations by combining multiple novel workcells. We're looking for curious minds who think big and want to define tomorrow's technology for operating robotics systems. At Amazon, we believe in ownership at every level. As an SDE Intern, you will own designing, developing, integrating, troubleshooting, and optimizing critical automation systems that will be deployed at very large scale. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. You will act as a key contributor to our product development roadmap and help develop software features, tools, and mechanisms to operate large robotic fleets (10,000s). At Amazon Robotics, 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 Robotics internship/co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities. 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. 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. • Research emerging sensor technologies and evaluate potential applications in Amazon fulfillment network. • Collaborate with hardware teams, operations teams and third party suppliers to develop new sensors. • Develop embedded systems to enable Artificial Intelligence (AI) on Edge Computing • Build sensor development and evaluation infrastructure, such as data processing and visualization tools. • Advise internal teams on sensor stack design and integration. • Support product release to manufacturing and customer deployment. • Participate in code reviews and contribute to technical documentation. • 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 enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields - 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 Preferred Qualifications: - Experience from previous technical internship(s) or demonstrated project experience - Experience communicating technical details verbally and in writing - Experience working with Git or an equivalent distributed version control system - Experience programming in C++/C/Python - Experience working with sensors, including but not limited to 2d and stereo cameras, Time-of-Flight sensors, Radar, and Lidar - Experience working with embedded communications protocols such as I2C, SPI, UART and CAN-bus - Experience with sensor processing and applications, including but not limited to sensor fusion, computer vision, Machine Learning (ML), AI, Simultaneous Localization and Mapping (SLAM), ROS - Familiar with networking, TCP/IP - Familiar with electronic schematics and test equipment (such as signal analyzers, oscilloscopes etc.) - Demonstrated ability to learn and adapt to new technologies quickly 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Amazon Robotics - Sensor Embedded Software Co-op - Spring 2026 at Amazon. com Services LLC. Skills: Embedded software, Sensor technology, Robotics, AI on Edge. Collaborate and communicate effectively with Amazonians. Design, build, and operate innovative products and services", "postedDate" : "2026-06-13T16:28:23.863", "createdAt" : "2026-06-13T16:28:23.863", "lastUpdated" : "2026-06-15T06:32:35.485", "ingestTimestamp" : "2026-06-13T16:28:23.863", "mongoId" : "68e6b1dc70f0b99d58d66e6a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102464/apply", "salaryAnnualMin" : 99500, "salaryAnnualMax" : 200000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data structure implementation", "Algorithm development", "Object-oriented design", "Sensor fusion", "Embedded systems programming", "Embedded communications protocols", "Electronic schematics", "Embedded software", "Sensor technology", "Robotics", "AI on Edge", "Embedded systems", "Robotics systems", "Compute technology", "Product development", "Automation systems", "Robotic fleets", "Computer vision", "Machine Learning", "Object recognition", "Semantic understanding", "Autonomous mobile robots", "Fulfillment network", "Warehouse operations", "Workcells", "Robotics testing labs", "Manufacturing facilities", "Sensor processing", "Sensor applications", "Simultaneous Localization and Mapping", "Git" ], "skillCount" : 31, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Robotics" }, { "id" : "6a2c7c8774d8ee00a094da7b", "title" : "Events Intern (Fall/September 2026, 12 Months)", "company" : "Geotab", "industry" : "Technology", "salary" : { "min" : 20.0, "max" : 27.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Oakville", "locations" : [ "Oakville" ], "timestamp" : "2026-06-15T13:41:04.825", "fingerprint" : "9e963107f96757701285bfc4ec219a44e910d2ef9421d7a8b9babedba47c9067", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/internshiplist2000/jobs/5177753008", "externalId" : "5177753008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Oakville", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.4474360,-79.6666720" } ], "locationText" : "Oakville, Ontario, Canada", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Machine learning", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "hardSkillsList" : [ "Event planning", "Logistical planning", "Trade show logistics", "Booth asset development", "Event analytics tracking", "Budget recording", "Vendor liaison" ], "softSkillsList" : [ "Creative thinking", "Willingness to learn" ], "hardSkills" : [ { "name" : "Event planning", "level" : "intermediate" }, { "name" : "Logistical planning", "level" : "intermediate" }, { "name" : "Trade show logistics", "level" : "intermediate" }, { "name" : "Booth asset development", "level" : "intermediate" }, { "name" : "Event analytics tracking", "level" : "intermediate" }, { "name" : "Budget recording", "level" : "intermediate" }, { "name" : "Vendor liaison", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Creative thinking" }, { "name" : "Willingness to learn" } ], "majorSkills" : "Event planning, Trade shows, Event execution", "majorSkillsList" : [ "Event planning", "Trade shows", "Event execution" ], "coreResponsibilities" : "Support event planning, Support event execution, Support tradeshow logistics, Develop booth assets, Complete trade show applications, Submit required assets, Execute day-of-event deliverables, Track post-event analytics, Support Geotab Connect, Develop event skills, Research event trends, Generate new ideas, Plan trade shows, Design trade shows, Implement trade shows, Manage project delivery, Record budgets, Update event calendar, Support annual event, Liaise with vendors, Develop organizational tools, Ensure alignment, Develop business cases, Update global events calendar, Deliver programs, Deliver events, Encourage innovation, Encourage creativity", "teamCollaboration" : "Work with vendors; Work with internal teams; Work with Events team; Work with Business Development; Work with Segment Managers; Work with Product", "projectManagementSkills" : [ "Project delivery" ], "domainKnowledge" : "Connected transportation; IoT; Transportation technology", "domainList" : [ "connected-transportation", "iot", "transportation-technology" ], "domainSpecificKnowledge" : [ "Connected transportation", "IoT", "Transportation technology" ], "toolProficiency" : [ "Event platforms" ], "continuousLearning" : "Employee Orientation; Campus Program", "innovationCreativity" : "Innovation; Creativity", "problemSolvingSkills" : "Facing challenges", "qualificationsBasic" : "University degree in Business, University degree in Marketing, University degree in related field", "qualificationsPreferred" : "Virtual event execution experience", "rawDescription" : "Who we are: Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Who you are: We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Events Intern who will support the planning and execution of tradeshows, internal events, and Geotab’s marquee annual event, Geotab Connect. If you love technology, and are keen to join an industry leader - we would love to hear from you! What you'll do: As an Events Intern your key area of responsibility will be to support the Events team in the logistical planning of both internal and external events. The Intern will support the planning of tradeshow logistics for various segments and work with external vendors to develop booth assets, complete trade show applications, submit required assets and execute day-of-event deliverables and track post-event analytics. You will also provide support for Geotab’s marquee annual event, Geotab Connect, and develop skills in execution of events through various event platforms. Additionally, you will research and evaluate event trends to generate new ideas that reinforce Geotab’s position as a global leader in transportation technology. You will need to work closely with various levels of the Events team, through Events Specialists, Managers, and AVP Global Events. The opportunity: 12 month work-term beginning September 2026. There are 2 internship opportunities available in Events - one focused on Internal & one on External. Details below! Full-time, paid internship: Monday - Friday, 37.5hrs/week. Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more! Learn more about the Geotab Campus Program here. This posting is for an existing vacancy. How you'll make an impact: Support Events Team members in planning, designing and implementing a variety of trade shows/events and managing project delivery elements within predetermined timelines. Record budgets for events and update trade show/event calendar with all relevant event information. Support in elements of Geotab’s marquee annual event, Geotab Connect. Work alongside Business Development, Segment Managers, Product, and other internal teams as required. Support in day-to-day liaison with production vendors. Develop event-specific organizational tools such as production timelines, contact lists, on-site deliverables schedule and ensure all internal and external individuals supporting designated events/projects are in alignment. Support in development and submission of business cases and update the global events calendar, keeping all details up to date and accurate. Deliver programs and events to a high level standard of execution and encourage innovation and creativity in event planning and execution. What you'll bring to the role: Puruing a University degree in Business, Marketing, or a related field preferred, with an interest in event planning. Strong communication, organization, and time management skills, as well as a willingness to learn and strong work ethic. Creative thinking and an energetic and positive approach to facing challenges. Passion for technology and innovation. Ability to multi-task and handle multiple projects at a time. Virtual event execution experience is an asset. If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply. Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees. How we work: At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology! We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. This role offers an hourly pay range which is anticipated to be the range listed below. The actual pay for this position depends on a variety of factors such as but not limited to student's academic program, relevant experience, and location. Geotab is committed to fair and equitable compensation and will share final details as part of the offer process. All offers of employment are contingent upon proof of eligibility to work for the duration of the internship and the individual's ability to pass a background check. Hourly Rate $20—$27 CAD", "summaryDescription" : "Events Intern (Fall/September 2026, 12 Months) at Geotab. Skills: Event planning, Trade shows, Event execution. Support event planning. Support event execution", "postedDate" : "2026-06-14T05:38:40.072", "createdAt" : "2026-06-14T05:38:40.072", "lastUpdated" : "2026-06-15T13:41:04.825", "ingestTimestamp" : "2026-06-14T05:38:40.072", "mongoId" : "6a2c7c8774d8ee00a094da7b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Event planning", "Logistical planning", "Trade show logistics", "Booth asset development", "Event analytics tracking", "Budget recording", "Vendor liaison", "Creative thinking", "Willingness to learn", "Trade shows", "Event execution", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Project delivery", "Connected transportation", "IoT", "Transportation technology", "Event platforms" ], "skillCount" : 20, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8c8374d8ee00a0975b64", "title" : "Software Engineer, Machine Learning", "industry" : "Machine Learning & Research", "salary" : { "min" : 150000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-15T09:27:38.546", "fingerprint" : "02268eb3f20ea3c59f703b4bd29aac4701a7cd82ede0f8b14d382fd263eb4e22", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/661586f1-e5a0-4788-8851-14cdcd57746e/application", "externalId" : "661586f1-e5a0-4788-8851-14cdcd57746e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3588336,-71.0578303" }, { "city" : "Pawtucket", "state" : "Rhode Island", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.8789531,-71.3821203" } ], "locationText" : "Boston, Massachusetts, United States; Pawtucket, Rhode Island, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Duties: Design, develop, and deploy WHOOP’s core technology by implementing machine learning and artificial intelligence models into production systems to generate insights and recommendations for member behavior and lifestyle improvement. Build and design tools, models, algorithms, and infrastructure to support Data Scientists in developing, deploying, and monitoring machine learning models. Develop and maintain WHOOP’s full-stack internal toolset, including VueJS, Java, and Postgres. Collaborate with Data Science team members to support model development, training, and monitoring activities. Develop and maintain production- ready Python services, ensuring testability, reliability, and scalability, and implement best practices around testing, observability, and monitoring. Refactor production codebase to improve performance, reduce complexity, and enhance maintainability. Participate in the design, planning, and development of new software features for WHOOP’s platform. Deliver software features through iterative development and code review processes (e.g., pull requests). Perform troubleshooting and debugging using logging and monitoring tools such as DataDog, Sentry, and Kibana. Requirements: Bachelor’s degree in Computer Science, Data Science, Software Engineering or related technical field (or foreign degree equivalent) and 5 years of experience developing and delivering machine learning models and algorithms into production. Will also accept a Master’s degree in Computer Science, Data Science, Software Engineering or related technical field (or foreign degree equivalent) and 2 years of experience developing and delivering machine learning models and algorithms into production. Required Skills: At least 2 years of experience with front end development using modern frameworks (Vue or React); At least 2 years of experience with API design and development using Java, C++, and Python; At least 2 years of experience using SQL for relational database design and development; At least 2 years of troubleshooting experience utilizing AWS Cloudwatch, DataDog, Sentry or Kibana; At least 2 years of experience using a cloud computing platform such as AWS, Azure, or GCP; At least 2 years of experience developing, testing, and deploying production Python code. Partial telecommuting permissible from normal commuting distance. Salary: $150,000/year – $215,000/year", "summaryDescription" : "Software Engineer, Machine Learning", "createdAt" : "2026-06-14T04:59:43.822", "lastUpdated" : "2026-06-15T09:27:38.546", "ingestTimestamp" : "2026-06-14T04:59:43.822", "mongoId" : "6a2c8c8374d8ee00a0975b64", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7dc574d8ee00a0950ca2", "title" : "Senior AI/Computer Vision Engineer", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 5000.0, "max" : 8000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Latvia", "locations" : [ "Latvia" ], "timestamp" : "2026-06-16T01:49:58.489", "fingerprint" : "e8b400a2651d73235270e185316e5b86d8149aa2166f6f3296036dacc2ee77e8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4232036009", "externalId" : "4232036009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Latvia", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Latvia", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, PyTorch, TensorFlow, C++, LLMs, ONNX, TensorRT, OpenVINO", "professionalSkills" : [ "System design", "Model evaluation", "Model deployment", "Production pipelines", "Inference systems" ], "hardSkillsList" : [ "Deep learning", "Computer vision", "Multimodal AI", "Edge computing", "Model optimization" ], "hardSkills" : [ { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Computer vision", "level" : "intermediate" }, { "name" : "Multimodal AI", "level" : "intermediate" }, { "name" : "Edge computing", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" } ], "majorSkills" : "AI, Computer Vision, Deep Learning, Edge Deployment", "majorSkillsList" : [ "AI", "Computer Vision", "Deep Learning", "Edge Deployment" ], "coreResponsibilities" : "Build AI systems end to end, Define problem requirements, Define data requirements, Train models, Validate models, Deploy models on edge devices, Integrate models into C++ pipelines, Translate product needs, Define system requirements, Define model requirements, Define evaluation requirements, Define data collection, Define data annotation, Define data validation, Train deep learning models, Optimize deep learning models, Build testing, Build benchmarking, Build failure analysis, Optimize models for edge devices, Integrate models into production inference systems, Work closely with software teams, Work closely with product teams, Ship reliable AI features", "teamCollaboration" : "Software teams; Product teams", "domainKnowledge" : "Computer vision; Applied AI; Deep learning; Edge devices; Multimodal models", "domainList" : [ "computer-vision", "applied-ai", "deep-learning", "edge-devices", "multimodal-models" ], "domainSpecificKnowledge" : [ "Computer vision", "Applied AI", "Deep learning", "Edge devices", "Multimodal models" ], "toolProficiency" : [ "MLflow", "Weights" ], "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Ship reliable AI features at scale", "qualificationsBasic" : "MS or PhD in Computer Science, 4+ years of experience, Python, PyTorch, TensorFlow, or similar, Detection, classification, segmentation, tracking, embeddings, or multimodal, Evaluation, deployment, and production, Optimizing models for edge, C++ production pipelines or inference, Fluent in English and Latvian", "qualificationsPreferred" : "Experience with LLMs, Experience with ONNX, TensorRT, OpenVINO, Experience with MLOps, Familiarity with model monitoring, Familiarity with post-deployment analysis", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. We’re looking for a Senior AI/Computer Vision Engineer to build AI systems end to end, from defining the problem and data requirements to training models, validating them, deploying on edge devices, and integrating them into C++ pipelines. This is a hands-on engineering role for someone who can take applied AI projects from concept to production and is comfortable working across modeling, evaluation, deployment, and system integration. Responsibilities: Own AI and computer vision projects end to end, from technical definition to production deployment; Translate product needs into system, data, model, and evaluation requirements; Define data collection, annotation, and validation strategies; Train and optimize deep learning models for real-world vision and multimodal applications; Build testing, benchmarking, and failure analysis workflows; Optimize models for edge devices with attention to latency, memory, throughput, and accuracy tradeoffs; Integrate models into production inference systems, including C++ edge pipelines; Work closely with software and product teams to ship reliable AI features at scale. Requirements: MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience; Strong Python skills; Solid experience with PyTorch, TensorFlow, or similar frameworks; 4+ years of experience building and shipping computer vision and/or applied AI systems; Hands-on experience with tasks such as detection, classification, segmentation, tracking, embeddings, or multimodal perception; Experience beyond model training, including evaluation, deployment, and production support; Experience optimizing models for edge or embedded environments; Strong software engineering skills, including C++ production pipelines or inference systems; Fluent in English and Latvian. Nice to have: Experience with LLMs or multimodal models in production; Experience with ONNX, TensorRT, OpenVINO, or TFLite; Experience with MLOps and experiment tools such as MLflow, Weights Familiarity with model monitoring and post-deployment analysis. Benefits: International work environment and work with global development teams; Ability to deliver software that is used by millions of people across the globe; Opportunity to leverage and integrate modern AI tools into product development; Access to all Ubiquiti products; Medical insurance; Hybrid approach - office in Riga; Flexible work hours; Compensation package matching global standards, including competitive salary depending on your qualification and background (starting from 5000 up to 8000 Euro gross monthly); A-class office with all the necessities - snacks, drinks, free parking, etc!", "summaryDescription" : "Senior AI/Computer Vision Engineer at Ubiquiti. Skills: AI, Computer Vision, Deep Learning, Edge Deployment. Build AI systems end to end. Define problem requirements", "postedDate" : "2026-06-14T20:05:44.229", "createdAt" : "2026-06-14T20:05:44.229", "lastUpdated" : "2026-06-16T01:49:58.489", "ingestTimestamp" : "2026-06-14T20:05:44.229", "mongoId" : "6a2c7dc574d8ee00a0950ca2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Deep learning", "Computer vision", "Multimodal AI", "Edge computing", "Model optimization", "AI", "Computer Vision", "Deep Learning", "Edge Deployment", "System design", "Model evaluation", "Model deployment", "Production pipelines", "Inference systems", "Applied AI", "Edge devices", "Multimodal models", "MLflow", "Weights" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30665df292fd229cfb07b9", "title" : "Co-op, Analytical Chemistry", "company" : "Lila Sciences", "industry" : "Biotech", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for entry-level Analytical Chemistry Co-op roles in Cambridge, United States, within the Biotech industry, adjusted for company size and internship employment type." }, "location" : "Alewife, Cambridge, MA", "locations" : [ "Alewife", "Cambridge", "MA" ], "timestamp" : "2026-06-16T08:19:04.660", "fingerprint" : "adf88aa4eace9d8036c93db0c0984ef596e4c9ea6a9d5bcb59c777e17a2c1da1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lilasciences/jobs/4284224009", "externalId" : "4284224009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, IR spectroscopy, NMR spectroscopy, LC chromatography, MS chromatography", "professionalSkills" : [ "Data processing", "Instrument scripting", "Chemical handling" ], "hardSkillsList" : [ "Spectroscopic analysis", "Chromatographic analysis", "Instrument calibration", "QC studies", "Data integrity" ], "softSkillsList" : [ "Observational skills", "Willingness to learn" ], "hardSkills" : [ { "name" : "Spectroscopic analysis", "level" : "intermediate" }, { "name" : "Chromatographic analysis", "level" : "intermediate" }, { "name" : "Instrument calibration", "level" : "intermediate" }, { "name" : "QC studies", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Observational skills" }, { "name" : "Willingness to learn" } ], "majorSkills" : "Analytical Chemistry, High-throughput analysis, AI-driven workflows", "majorSkillsList" : [ "Analytical Chemistry", "High-throughput analysis", "AI-driven workflows" ], "coreResponsibilities" : "Create samples, Run experiments, Generate high-quality data, Work hands-on with synthesis team, Drive high throughput analytical studies, Perform HTE spectroscopic analysis, Perform HTE chromatographic analysis, Uncover mechanistic insights, Design experiments, Run experiments to accelerate discovery, Collaborate with AI-driven workflows, Enable real-time learning cycle, Push limits of high-throughput analysis, Perform instrument calibration, Perform dilution studies, Perform QC studies, Log experiment workflows, Log samples, Log reaction conditions, Log calibrations, Log results, Contribute to reports, Present findings in team meetings", "teamCollaboration" : "Multidisciplinary team", "domainKnowledge" : "Small molecules; Catalytic discovery; Medicinal compounds; Scientific Superintelligence", "domainList" : [ "small-molecules", "catalytic-discovery", "medicinal-compounds", "scientific-superintelligence" ], "domainSpecificKnowledge" : [ "Small molecules", "Catalytic discovery", "Medicinal compounds", "Scientific Superintelligence" ], "communicationSkills" : "Verbal ability; Written ability", "documentationSkills" : "Digital log", "innovationCreativity" : "Scientific discovery", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "EHS protocols", "qualificationsBasic" : "B. S. or M. S. in Analytical Chemistry, Hands-on experience in high-throughput analysis, Follow strict EHS protocols, Follow detailed SOPs", "qualificationsPreferred" : "Analytical method development for HT screenings, Basic proficiency in Python, Familiarity with automation platforms, Experience in troubleshooting analytical instruments, Experience in maintenance of analytical instruments", "workSiteFlexibility" : "Onsite", "rawDescription" : "Your Impact at LILA Our day-to-day work - creating samples, running experiments, and generating high-quality data - will feed directly into closed-loop optimization campaigns that accelerate our chemistry pipeline in our science factory. You will work at the intersection where world class teams are coming together to achieve one dream - scientific superintelligence What You'll Be Building Work hands-on with the synthesis team to drive high throughput analytical studies for small molecules Perform HTE spectroscopic and chromatographic analysis (IR, NMR, LC, MS) for reaction samples, and uncover mechanistic insights - both inline and offline characterization. Design and run experiments to accelerate catalytic discovery, collaborate with AI-driven workflows, enabling real-time learning cycle and push the limits of high-throughput chemical analysis. Perform instrument calibration, dilution and QC studies Digital log of experiment workflows, samples, reaction conditions, calibrations, and results, ensuring data integrity for AI-driven analysis. Use Python for data processing or instrument scripting. Follow strict EHS protocols for chemical handling Contribute to brief reports and present findings in team meetings. What You'll Need to Succeed Currently pursuing or recently completed a B. S. or M. S. in Analytical Chemistry or a related discipline. Hands-on experience in high-throughput analysis of small molecules Preferred background in analytical method development for HT screenings of medicinal compounds Comfort working with inert conditions and wide range of chemicals, adhering to EHS protocols and following detailed SOPs. Basic proficiency in Python or another scripting language for data handling is a plus. Strong observational skills, attention to detail, and willingness to ask questions and learn. Effective written and verbal communication; ability to work in a fast-paced, multidisciplinary team Bonus Points For Familiarity with automation platforms and high throughput experimentation Background in pharma and analysis of medicinal compounds Experience in troubleshooting and maintenance of analytical instruments About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.", "summaryDescription" : "Co-op, Analytical Chemistry at Lila Sciences. Skills: Analytical Chemistry, High-throughput analysis, AI-driven workflows. Create samples. 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Cross-product architects; Cross-functional technical alignment", "projectManagementSkills" : [ "Prototyping", "POC Execution" ], "domainKnowledge" : "Enterprise-scale implementations; Business software; Customer experience; Employee experience; Service software; AI", "domainList" : [ "enterprise-scale-implementations", "business-software", "customer-experience", "employee-experience", "service-software", "ai" ], "domainSpecificKnowledge" : [ "Enterprise-scale implementations", "Business software", "Customer experience", "Employee experience", "Service software", "AI" ], "innovationCreativity" : "Strategic Innovation", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "6–9 years of professional experience in software engineering and machine learning development, Proven history of successfully building, productionizing, and maintaining Machine Learning solutions at scale, Degree in Computer Science, Artificial Intelligence, or a related quantitative field", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Impact You Will Create * Bridge Research and Production: Serve as the critical link translating theoretical data science research and sophisticated algorithms into product-ready, enterprise-scale implementations. * Scale to Millions: Build and deploy robust ML APIs and data pipelines engineered to handle millions of requests with high efficiency, low latency, and reliability. * Architect from Scratch: Drive organizational technical alignment by architecting high-performance ML solutions from the ground up and leading cross-functional adoption. Roles & Responsibilities * ML Algorithm Implementation: Collaborate with Data Scientists to translate complex models and experimental algorithms into clean, high-performance, production-grade code. * End-to-End Pipeline Architecture: Design, build, and manage comprehensive ML pipelines encompassing data pre-processing, model generation, automated deployment, cross-validation, and active feedback loops. * High-Performance Service Delivery: Develop and deploy extensible, scalable ML API services optimized for minimal latency under high traffic loads. * Operational Intelligence: Design and implement monitoring systems to track engineering efficiency and active ML model performance metrics, ensuring long-term system health. * Strategic Innovation & Collaboration: Architect technical solutions from scratch and liaise with cross-product architects and engineers to ensure organizational alignment. * Prototyping & POC Execution: Lead Proof of Concept (POC) initiatives across diverse tech stacks to identify and validate optimal infrastructure solutions for complex business challenges. * Lifecycle Ownership: Independently own the full lifecycle of feature delivery, from initial requirement gathering with product teams to final deployment and monitoring. ## Qualifications Skills * Production ML Engineering: Proven capability in translating advanced mathematical models into optimized, production-ready software. * MLOps Mastery: Deep expertise in lifecycle management practices, ensuring seamless model transitions from experimental stages to live production environments. * Distributed Pipeline & API Design: Strong architecture skills in building scalable data pipelines and low-latency API microservices. * System Telemetry & Monitoring: Proficiency in establishing monitoring frameworks for tracking engineering efficiency, system health, and model performance metrics. * Technical Project Leadership: Ability to execute rapid prototyping, evaluate technical stacks, and lead cross-functional technical alignment. Qualifications * Experience: 6–9 years of professional experience in software engineering and machine learning development. * Track Record: A proven history of successfully building, productionizing, and maintaining Machine Learning solutions at scale. * Education: Degree in Computer Science, Artificial Intelligence, or a related quantitative field. ## Additional Information At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.", "summaryDescription" : "Lead Software Engineer - Machine Learning at Freshworks. Skills: Machine Learning, MLOps, API Design, Data Pipelines. 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Build and deploy ML APIs", "postedDate" : "2026-06-15T08:29:45.000", "createdAt" : "2026-06-16T00:26:48.091", "lastUpdated" : "2026-06-16T10:38:28.957", "ingestTimestamp" : "2026-06-16T00:26:48.091", "mongoId" : "6a306369f292fd229cf9da8b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ML Algorithm Implementation", "End-to-End Pipeline Architecture", "High-Performance Service Delivery", "Operational Intelligence", "Prototyping", "POC Execution", "Monitoring Systems", "Leadership", "Machine Learning", "MLOps", "API Design", "Data Pipelines", "Technical Project Leadership", "System Design", "Architecture", "Enterprise-scale implementations", "Business software", "Customer experience", "Employee experience", "Service software", "AI" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305d07f292fd229cf647ce", "title" : "Lead Software Engineer - Machine Learning", "company" : "Freshworks", "industry" : "Information Technology And Services", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Lead Software Engineer - Machine Learning in Chennai, India, adjusted for seniority, company size, and industry." }, "location" : "Chennai, IN", "locations" : [ "Chennai", "IN" ], "timestamp" : "2026-06-16T09:27:23.209", "fingerprint" : "f2331a1ec4913b36db028f0d47c6a06d5399c87391bc995d1bedefaf401172e4", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Freshworks/744000132139255-lead-software-engineer-machine-learning", "externalId" : "744000132139255", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Degree in Computer Science, Artificial Intelligence, or a related quantitative field", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Machine Learning, Data Science, MLOps, Data Pipelines, API Design, Microservices, Monitoring Systems", "professionalSkills" : [ "Technical Project Leadership", "System Design", "Architecture" ], "hardSkillsList" : [ "ML Algorithm Implementation", "End-to-End Pipeline Architecture", "High-Performance Service Delivery", "Operational Intelligence", "Prototyping", "POC Execution", "Lifecycle Ownership" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ML Algorithm Implementation", "level" : "intermediate" }, { "name" : "End-to-End Pipeline Architecture", "level" : "intermediate" }, { "name" : "High-Performance Service Delivery", "level" : "intermediate" }, { "name" : "Operational Intelligence", "level" : "intermediate" }, { "name" : "Prototyping", "level" : "intermediate" }, { "name" : "POC Execution", "level" : "intermediate" }, { "name" : "Lifecycle Ownership", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Machine Learning, MLOps, API Design, Data Pipelines", "majorSkillsList" : [ "Machine Learning", "MLOps", "API Design", "Data Pipelines" ], "coreResponsibilities" : "Bridge Research and Production, Scale to Millions, Architect from Scratch, Collaborate with Data Scientists, Translate complex models, Design, build, and manage comprehensive ML pipelines, Develop and deploy extensible, scalable ML API services, Design and implement monitoring systems, Architect technical solutions, Liaise with cross-product architects, Lead Proof of Concept (POC) initiatives, Independently own the full lifecycle of feature delivery, Gather requirements with product teams, Deploy and monitor features", "teamCollaboration" : "Cross-functional adoption; Cross-product architects; Product teams", "projectManagementSkills" : [ "Lifecycle management" ], "domainKnowledge" : "Enterprise-scale implementations; Business software; Customer experience (CX); Employee experience (EX)", "domainList" : [ "enterprise-scale-implementations", "business-software", "customer-experience-cx", "employee-experience-ex" ], "domainSpecificKnowledge" : [ "Enterprise-scale implementations", "Business software", "Customer experience (CX)", "Employee experience (EX)" ], "innovationCreativity" : "Strategic Innovation", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "6–9 years of professional experience in software engineering and machine learning development, Proven history of successfully building, productionizing, and maintaining Machine Learning solutions at scale, Degree in Computer Science, Artificial Intelligence, or a related quantitative field", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Impact You Will Create * Bridge Research and Production: Serve as the critical link translating theoretical data science research and sophisticated algorithms into product-ready, enterprise-scale implementations. * Scale to Millions: Build and deploy robust ML APIs and data pipelines engineered to handle millions of requests with high efficiency, low latency, and reliability. * Architect from Scratch: Drive organizational technical alignment by architecting high-performance ML solutions from the ground up and leading cross-functional adoption. Roles & Responsibilities * ML Algorithm Implementation: Collaborate with Data Scientists to translate complex models and experimental algorithms into clean, high-performance, production-grade code. * End-to-End Pipeline Architecture: Design, build, and manage comprehensive ML pipelines encompassing data pre-processing, model generation, automated deployment, cross-validation, and active feedback loops. * High-Performance Service Delivery: Develop and deploy extensible, scalable ML API services optimized for minimal latency under high traffic loads. * Operational Intelligence: Design and implement monitoring systems to track engineering efficiency and active ML model performance metrics, ensuring long-term system health. * Strategic Innovation & Collaboration: Architect technical solutions from scratch and liaise with cross-product architects and engineers to ensure organizational alignment. * Prototyping & POC Execution: Lead Proof of Concept (POC) initiatives across diverse tech stacks to identify and validate optimal infrastructure solutions for complex business challenges. * Lifecycle Ownership: Independently own the full lifecycle of feature delivery, from initial requirement gathering with product teams to final deployment and monitoring. ## Qualifications Skills * Production ML Engineering: Proven capability in translating advanced mathematical models into optimized, production-ready software. * MLOps Mastery: Deep expertise in lifecycle management practices, ensuring seamless model transitions from experimental stages to live production environments. * Distributed Pipeline & API Design: Strong architecture skills in building scalable data pipelines and low-latency API microservices. * System Telemetry & Monitoring: Proficiency in establishing monitoring frameworks for tracking engineering efficiency, system health, and model performance metrics. * Technical Project Leadership: Ability to execute rapid prototyping, evaluate technical stacks, and lead cross-functional technical alignment. Qualifications * Experience: 6–9 years of professional experience in software engineering and machine learning development. * Track Record: A proven history of successfully building, productionizing, and maintaining Machine Learning solutions at scale. * Education: Degree in Computer Science, Artificial Intelligence, or a related quantitative field. ## Additional Information At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.", "summaryDescription" : "Lead Software Engineer - Machine Learning at Freshworks. Skills: Machine Learning, MLOps, API Design, Data Pipelines. Bridge Research and Production. Scale to Millions", "postedDate" : "2026-06-15T08:29:45.000", "createdAt" : "2026-06-15T23:46:43.044", "lastUpdated" : "2026-06-16T09:27:23.209", "ingestTimestamp" : "2026-06-15T23:46:43.044", "mongoId" : "6a305d07f292fd229cf647ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ML Algorithm Implementation", "End-to-End Pipeline Architecture", "High-Performance Service Delivery", "Operational Intelligence", "Prototyping", "POC Execution", "Lifecycle Ownership", "Leadership", "Machine Learning", "MLOps", "API Design", "Data Pipelines", "Technical Project Leadership", "System Design", "Architecture", "Lifecycle management", "Enterprise-scale implementations", "Business software", "Customer experience (CX)", "Employee experience (EX)" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "co op fall 2026 software developer machine learning computer vision 4 months jobs", "metadata" : { "title" : "co op fall 2026 software developer machine learning computer vision 4 months" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 49856, "totalPages" : 998, "hasNext" : true, "hasPrevious" : false } }

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