Computer Scientist Jobs
Computer Scientist jobs are open across defense, technology, research, and government sectors, from entry-level to principal and chief scientist, with specializations in algorithms, machine learning, and systems research. Find a role that fits from the openings below and apply directly.
Find Computer Scientist JobsOverview
Showing 5 of 78+ Computer Scientist jobs
DESCRIPTION
As a Senior Applied Scientist on the Amazon Robotics Sensing and Compute hardware team, you will be the ML and perception expert working alongside the Principal Applied Scientist and Principal Hardware Development Engineer to shape the future of deployed and scaled sensing hardware. You will influence sensor selection, compute architecture, optical design, and system level trade offs, ensuring the hardware we build is purpose designed for the algorithms that run on it. You will help define what the next generation of cameras, depth sensors, and edge compute modules need to be, and then prove it with data, experimentation, and production validation.
What makes this role unique:
- Embedded in the hardware development team, directly influencing what gets designed, manufactured, and shipped
- Partner with the Principal Engineers to co define the sensing and compute hardware roadmap for every major Amazon Robotics program
- Own the ML experimentation and validation that drives hardware architecture decisions for cameras, depth sensors, and edge compute
- Solve perception problems no other company is tackling: safety rated vision, multi modal sensor fusion, and real time inference on resource constrained hardware
- Ship to hundreds of fulfillment sites worldwide across autonomous mobile robots, manipulation workcells, barcode sensing, and safety rated human collaborative systems
- Your work does not sit in a research queue. It goes into production hardware that enables the future of Amazon Robotics
Key job responsibilities
- Partner with the Principal Hardware Development Engineer and Principal Applied Scientist to co define sensing and compute hardware requirements, ensuring ML and perception needs drive sensor selection, optical design, compute architecture, and system level trade offs
- Develop and optimize computer vision and deep learning models for robotic perception including object detection, depth estimation, scene understanding, and barcode recognition, purpose built for edge deployment on resource constrained hardware
- Lead ML experimentation and validation that directly informs hardware architecture decisions for cameras, depth sensors, and edge compute modules
- Design and execute benchmarking frameworks to evaluate sensing hardware performance across diverse robotic use cases, providing data driven recommendations on what to build next
- Optimize models for production edge deployment including quantization, pruning, distillation, and inference pipeline tuning to meet strict latency, power, and accuracy requirements
- Drive research and experimentation on next generation perception capabilities in collaboration with the Principal Applied Scientist, including multi modal sensor fusion, safety rated vision, and real time inference for autonomous and human collaborative robotics
- Collaborate cross functionally with hardware engineers, software developers, and robotics program teams to transition models from prototype through production validation and fleet deployment
- Contribute to the sensing and compute hardware roadmap alongside the Principal Applied Scientist, identifying where ML trends and emerging capabilities require new hardware architecture or sensor modalities
- Mentor engineers and scientists on ML best practices for embedded systems and production robotics
- Publish and present research to advance the state of the art in robotic perception
A day in the life
In this role you will work at the intersection of machine learning and physical robotics hardware. You will collaborate with hardware engineers to evaluate how your models perform on real sensors and edge compute, run experiments that directly influence what gets built next, and validate perception systems alongside robotics program teams. You will push the boundaries of computer vision for robotic applications while seeing your work deploy on real robots in real fulfillment centers. This is applied science with immediate, measurable impact at a scale no other robotics company can offer.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
The Amazon Robotics Sensing and Compute team powers a customer centric ecosystem built for speed, quality, and innovation. We stay ahead of sensing and compute technology, standardize reusable and cost effective modules, and pair them with deep engineering expertise and a robust supply chain. Every customer gets the right solution, whether off the shelf, rapidly customized, or purpose built, easy to integrate and ready to scale. We are a small, fast moving team of builders who own the full stack from optics through edge compute and take pride in shipping production hardware that enables every major robotics program in Amazon's global fulfillment network. If you want your work to matter on day one, this is the team.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Experience with one or more deep learning frameworks such as PyTorch, TensorFlow, or equivalent
- Experience with 2D and 3D vision tasks including object detection, segmentation, depth estimation, or point cloud processing
- Experience optimizing ML models for deployment on resource constrained hardware including quantization, pruning, or distillation techniques
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
PREFERRED QUALIFICATIONS
- PhD, or PhD and 4+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
- Experience with robotic perception systems in industrial, warehouse, or manufacturing environments
- -Familiarity with edge compute hardware and embedded inference pipelines
- -Experience with real time computer vision systems operating under strict latency and power constraints
- -Track record of transitioning research prototypes to production systems deployed at scale
- -Experience with safety critical ML applications or functional safety requirements
- -Experience collaborating with hardware engineering teams on sensor selection, optical design, or compute architecture trade offs
- -Experience with image signal processing pipelines and camera system characterization
- -Experience mentoring scientists or engineers in applied research environments
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, North Reading - 167,100.00 - 226,100.00 USD annually
USA, MA, Westboro - 167,100.00 - 226,100.00 USD annually
DESCRIPTION
As a Senior Applied Scientist on the Amazon Robotics Sensing and Compute hardware team, you will be the ML and perception expert working alongside the Principal Applied Scientist and Principal Hardware Development Engineer to shape the future of deployed and scaled sensing hardware. You will influence sensor selection, compute architecture, optical design, and system level trade offs, ensuring the hardware we build is purpose designed for the algorithms that run on it. You will help define what the next generation of cameras, depth sensors, and edge compute modules need to be, and then prove it with data, experimentation, and production validation.
What makes this role unique:
- Embedded in the hardware development team, directly influencing what gets designed, manufactured, and shipped
- Partner with the Principal Engineers to co define the sensing and compute hardware roadmap for every major Amazon Robotics program
- Own the ML experimentation and validation that drives hardware architecture decisions for cameras, depth sensors, and edge compute
- Solve perception problems no other company is tackling: safety rated vision, multi modal sensor fusion, and real time inference on resource constrained hardware
- Ship to hundreds of fulfillment sites worldwide across autonomous mobile robots, manipulation workcells, barcode sensing, and safety rated human collaborative systems
- Your work does not sit in a research queue. It goes into production hardware that enables the future of Amazon Robotics
Key job responsibilities
- Partner with the Principal Hardware Development Engineer and Principal Applied Scientist to co define sensing and compute hardware requirements, ensuring ML and perception needs drive sensor selection, optical design, compute architecture, and system level trade offs
- Develop and optimize computer vision and deep learning models for robotic perception including object detection, depth estimation, scene understanding, and barcode recognition, purpose built for edge deployment on resource constrained hardware
- Lead ML experimentation and validation that directly informs hardware architecture decisions for cameras, depth sensors, and edge compute modules
- Design and execute benchmarking frameworks to evaluate sensing hardware performance across diverse robotic use cases, providing data driven recommendations on what to build next
- Optimize models for production edge deployment including quantization, pruning, distillation, and inference pipeline tuning to meet strict latency, power, and accuracy requirements
- Drive research and experimentation on next generation perception capabilities in collaboration with the Principal Applied Scientist, including multi modal sensor fusion, safety rated vision, and real time inference for autonomous and human collaborative robotics
- Collaborate cross functionally with hardware engineers, software developers, and robotics program teams to transition models from prototype through production validation and fleet deployment
- Contribute to the sensing and compute hardware roadmap alongside the Principal Applied Scientist, identifying where ML trends and emerging capabilities require new hardware architecture or sensor modalities
- Mentor engineers and scientists on ML best practices for embedded systems and production robotics
- Publish and present research to advance the state of the art in robotic perception
A day in the life
In this role you will work at the intersection of machine learning and physical robotics hardware. You will collaborate with hardware engineers to evaluate how your models perform on real sensors and edge compute, run experiments that directly influence what gets built next, and validate perception systems alongside robotics program teams. You will push the boundaries of computer vision for robotic applications while seeing your work deploy on real robots in real fulfillment centers. This is applied science with immediate, measurable impact at a scale no other robotics company can offer.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
The Amazon Robotics Sensing and Compute team powers a customer centric ecosystem built for speed, quality, and innovation. We stay ahead of sensing and compute technology, standardize reusable and cost effective modules, and pair them with deep engineering expertise and a robust supply chain. Every customer gets the right solution, whether off the shelf, rapidly customized, or purpose built, easy to integrate and ready to scale. We are a small, fast moving team of builders who own the full stack from optics through edge compute and take pride in shipping production hardware that enables every major robotics program in Amazon's global fulfillment network. If you want your work to matter on day one, this is the team.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Experience with one or more deep learning frameworks such as PyTorch, TensorFlow, or equivalent
- Experience with 2D and 3D vision tasks including object detection, segmentation, depth estimation, or point cloud processing
- Experience optimizing ML models for deployment on resource constrained hardware including quantization, pruning, or distillation techniques
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
PREFERRED QUALIFICATIONS
- PhD, or PhD and 4+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
- Experience with robotic perception systems in industrial, warehouse, or manufacturing environments
- -Familiarity with edge compute hardware and embedded inference pipelines
- -Experience with real time computer vision systems operating under strict latency and power constraints
- -Track record of transitioning research prototypes to production systems deployed at scale
- -Experience with safety critical ML applications or functional safety requirements
- -Experience collaborating with hardware engineering teams on sensor selection, optical design, or compute architecture trade offs
- -Experience with image signal processing pipelines and camera system characterization
- -Experience mentoring scientists or engineers in applied research environments
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, North Reading - 167,100.00 - 226,100.00 USD annually
USA, MA, Westboro - 167,100.00 - 226,100.00 USD annually
Computer Scientist Jobs by Experience Level
See All 78 Computer Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Computer Scientist JobsComputer Scientist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in computer scientist jobs.
- Advanced degree in computer science, mathematics, or a related field
- Strong command of algorithms, data structures, and computational theory
- Programming proficiency in Python, C++, or Java for research and system implementation
- Experience designing and evaluating machine learning or AI models at scale
- Publication record or demonstrated original research contributions in a relevant area
- Familiarity with high-performance computing environments and parallel processing frameworks
Tips for Your Computer Scientist Job Search
Tailor your resume to research depth
Computer scientist roles often prioritize publications, patents, or original algorithmic contributions over general work history. Lead with a research summary section that names your specific problem domains, methods, and measurable outcomes before listing job titles.
Target postings by research area
Job titles overlap heavily in this field, so filter by research area rather than title alone. A posting labeled 'software engineer, research' at a national lab can demand the same theoretical depth as one explicitly titled 'computer scientist.'
Apply early to roles that fit
Migrate Mate lists computer scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Build a public portfolio of technical work
Hiring committees for computer scientist roles review code repositories, papers, and technical reports before the first call. Link your strongest documented projects, even unpublished preprints, directly in your application materials so reviewers can evaluate depth immediately.
Prepare for whiteboard and system design rounds
Interviews for computer scientist positions routinely include both theoretical algorithm proofs and large-scale system design questions in the same session. Practice explaining time and space complexity trade-offs out loud, not just on paper, since interviewers assess reasoning process as much as the final answer.
Negotiate scope before negotiating compensation
In research-oriented computer scientist roles, the problems you are assigned to and your publishing rights matter as much as pay. Before accepting, ask specifically which projects you would own, whether you can publish findings, and how research priorities are set within the team.
Computer Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most computer scientists?
The companies hiring the most computer scientists right now include Meta, JT4, and RealmOne, with the largest share of openings in Maryland, California, and New Jersey, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated among defense contractors, federal research agencies, and large technology firms with dedicated research divisions.
How many computer scientist jobs are remote?
About 45% of computer scientist openings are fully remote or hybrid as of November 2026, though the share varies significantly by specialization. Roles focused on machine learning research, algorithm development, and data science tend to offer the most remote flexibility, while positions requiring access to classified systems or specialized hardware are typically on-site.
How do you become a computer scientist?
Most computer scientists complete a bachelor's degree in computer science or mathematics, then pursue a master's or doctoral program where they specialize in an area such as algorithms, systems, or artificial intelligence. Building a research portfolio through thesis work, internships at national labs, or published papers is often what distinguishes candidates for research-track roles from those entering general software engineering.
Can you get hired as a computer scientist with little experience?
Entry-level computer scientist roles exist, particularly at government agencies and research universities, but they typically require strong theoretical foundations from coursework and a documented project or research sample. Contributing to open-source projects, completing a senior thesis in a specialized area, or presenting at a student research symposium can substitute for formal work history when applying to junior research positions.
What does the computer scientist interview process look like?
Most computer scientist interviews include a recruiter screen, a technical phone assessment covering algorithms or system design, and a full-day on-site or virtual loop with multiple rounds. Research-focused employers typically add a presentation where you walk through a past project or solve a novel problem live, and interviewers evaluate both your solution and your ability to defend design decisions under questioning.
Where can I find and apply to computer scientist jobs?
You can find and apply to computer scientist jobs on Migrate Mate, which lists current openings from across the United States in one place. Find roles that match your specialization and experience level, then apply directly to each listing from the same page.
See All 78 Computer Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Computer Scientist Jobs