Computer Vision Researcher Jobs
Computer Vision Researcher jobs are open across autonomous vehicles, robotics, healthcare imaging, and consumer tech, from new-grad research engineer to principal scientist and research director, with specializations in object detection, 3D reconstruction, and generative vision models. Find a role that fits below and apply directly.
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Showing 5 of 134+ Computer Vision Researcher jobs
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Title: Senior Embedded Computer Vision Engineer
Duration: Full-time, direct placement
Location: Remote – must work onsite in the US and work US Eastern Time (ET) hours
Benefits: Excellent benefits available, including unlimited PTO, 401(k) match, a bonus percentage tied to role, fully reimbursed travel and expenses, unlimited e-learning through Coursera
Role:
- Develop state-of-the-art, performance-critical computer vision systems
- Own and drive highly visible performance metrics (e.g., latency, memory, bandwidth, power)
- Work collaboratively in a fast-paced team to analyze and optimize a C++ codebase
- Help establish algorithm performance standards; develop and promote best practices for performance, maintainability, and correctness; provide guidance throughout the software development lifecycle; and share knowledge
- Help drive the integration and development of tooling and automation (profiling, testing/verification, monitoring, etc.) that enables the team to move faster
- Help shape the computing platforms for next-generation products
Qualifications:
- 5+ years of professional experience in computer vision and image processing
- Professional experience developing high-performance, low-latency applications using modern C++
- Experience with low-latency, high-bandwidth real-time data pipelines, batch-processing pipelines, low-power embedded systems, and integrating specialized hardware accelerators
- In-depth understanding of computer architecture, computational bottlenecks, memory hierarchies, cache coherence, SIMD, concurrency, and parallelization
- Strong computer science fundamentals, problem-solving skills, and the ability to write high-quality code
- Experience in code and memory optimization, performance analysis, abstraction and modularity, critical-path optimization, and performance tuning
Preferred Qualifications:
- Experience in high-speed and per-frame camera frame quality evaluation
- Experience with real-time operating systems, Linux, and job scheduling
- Experience with streaming applications using vision-language models (VLMs)
- Education: MSc or PhD in Computer Science, Computer Vision, Robotics, or a related field preferred
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Salary Range is $155,000 to $180,000 USD per year.
Equal employment opportunity: All qualified persons will be considered for employment without regard to race, color, religion, sex, national origin, age, marital status, familial status, gender identity, sexual orientation, disability for which a reasonable accommodation can be made or any other status protected by law. Assistance will be gladly provided upon request for any applicant with sensory or non-sensory disabilities.
Fresh Consulting is a participating E-Verify company.
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See more at freshconsulting.com. Visit freshconsulting.com/portfolio to see our project work across several industries.
View and apply to all jobs – https://freshconsulting.applytojob.com/apply/ or visit freshconsulting.com/careers.
Title: Senior Embedded Computer Vision Engineer
Duration: Full-time, direct placement
Location: Remote – must work onsite in the US and work US Eastern Time (ET) hours
Benefits: Excellent benefits available, including unlimited PTO, 401(k) match, a bonus percentage tied to role, fully reimbursed travel and expenses, unlimited e-learning through Coursera
Role:
- Develop state-of-the-art, performance-critical computer vision systems
- Own and drive highly visible performance metrics (e.g., latency, memory, bandwidth, power)
- Work collaboratively in a fast-paced team to analyze and optimize a C++ codebase
- Help establish algorithm performance standards; develop and promote best practices for performance, maintainability, and correctness; provide guidance throughout the software development lifecycle; and share knowledge
- Help drive the integration and development of tooling and automation (profiling, testing/verification, monitoring, etc.) that enables the team to move faster
- Help shape the computing platforms for next-generation products
Qualifications:
- 5+ years of professional experience in computer vision and image processing
- Professional experience developing high-performance, low-latency applications using modern C++
- Experience with low-latency, high-bandwidth real-time data pipelines, batch-processing pipelines, low-power embedded systems, and integrating specialized hardware accelerators
- In-depth understanding of computer architecture, computational bottlenecks, memory hierarchies, cache coherence, SIMD, concurrency, and parallelization
- Strong computer science fundamentals, problem-solving skills, and the ability to write high-quality code
- Experience in code and memory optimization, performance analysis, abstraction and modularity, critical-path optimization, and performance tuning
Preferred Qualifications:
- Experience in high-speed and per-frame camera frame quality evaluation
- Experience with real-time operating systems, Linux, and job scheduling
- Experience with streaming applications using vision-language models (VLMs)
- Education: MSc or PhD in Computer Science, Computer Vision, Robotics, or a related field preferred
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Salary Range is $155,000 to $180,000 USD per year.
Equal employment opportunity: All qualified persons will be considered for employment without regard to race, color, religion, sex, national origin, age, marital status, familial status, gender identity, sexual orientation, disability for which a reasonable accommodation can be made or any other status protected by law. Assistance will be gladly provided upon request for any applicant with sensory or non-sensory disabilities.
Fresh Consulting is a participating E-Verify company.
freshconsulting.com
EE7JARZxgu
Computer Vision Researcher Jobs by Experience Level
See All 134+ Computer Vision Researcher Jobs
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Find JobsComputer Vision Researcher Job Market
Who's Hiring
- Apple12
- Meta9
- Booz Allen Hamilton6
- Qualcomm5
- Amazon3
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Telecommunications
- Consulting & Professional Services
- Manufacturing
What Employers Look For
The qualifications that appear most often in computer vision researcher jobs.
- PhD or Master's degree in computer vision, machine learning, or a related field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and training convolutional neural networks and transformer architectures
- Demonstrated record of peer-reviewed publications or patents in computer vision
- Hands-on experience with object detection, segmentation, or 3D scene understanding
- Familiarity with model optimization and deployment using ONNX, TensorRT, or similar tools
Tips for Your Computer Vision Researcher Job Search
Lead your resume with published work
Hiring managers for computer vision researcher roles weight publications, preprints, and GitHub repos heavily. List every arXiv paper, conference contribution, or open-source model at the top of your resume before listing employment history.
Apply early to roles that fit
Migrate Mate lists computer vision researcher openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Tailor your portfolio to the domain
A robotics team and a medical-imaging team both hire computer vision researchers, but they want to see different work. Swap in domain-relevant projects for each application rather than sending the same portfolio to every employer.
Decode the job description for model stack
Postings often bury the real technical requirements in a requirements list. Scan for specific frameworks like PyTorch, JAX, or TensorRT, then mirror that exact language in your resume and cover letter so you clear automated screening.
Prepare a system-design answer for your best project
Expect at least one deep-dive interview where you walk through every architectural decision in a model you built, from data pipeline to deployment constraints. Practice explaining trade-offs you made, not just the final accuracy numbers.
Negotiate compute and research time, not just pay
When you reach the offer stage, ask directly about GPU cluster access, publication approval timelines, and what percentage of time is research versus productionization. These details affect your day-to-day far more than title alone.
Computer Vision Researcher Jobs: Frequently Asked Questions
Which companies are hiring the most computer vision researchers?
Apple, Meta, and Booz Allen Hamilton are hiring the most computer vision researchers right now, with openings concentrated in California, Virginia, and Washington, based on current listings on Migrate Mate as of November 2026. Demand is especially high in autonomous systems and medical-imaging divisions.
How many computer vision researcher jobs are remote?
About 52% of computer vision researcher openings are fully remote or hybrid as of November 2026, though on-site roles remain common at labs that require access to specialized hardware. Research-focused positions and roles centered on model training tend to offer the most location flexibility, while positions tied to real-time robotics or hardware integration are more frequently on-site.
How do you become a computer vision researcher?
Start by building a strong foundation in linear algebra, probability, and deep learning through graduate coursework or rigorous self-study. Develop hands-on experience by reproducing state-of-the-art papers from venues like CVPR and ICCV and publishing your own results. A Master's or PhD accelerates your path, but a strong public portfolio of model work and open-source contributions can open doors at applied research teams.
Can you get a computer vision researcher job with little experience?
Yes, entry-level and associate researcher roles exist, particularly at companies with large applied research teams. The most effective way in is to publish or present work at a recognized venue, contribute meaningfully to an open-source vision project, or complete a research internship that produces a deployable result. Demonstrating that you can take a project from ideation to a working model matters more than years of tenure.
What does the computer vision researcher interview process look like?
Most processes include a recruiter screen, a technical phone round covering deep learning fundamentals and coding in Python, and a full-day virtual or on-site loop. The on-site typically includes a research presentation on your past work, one or two algorithm or ML design sessions, and a conversation about your publication history or open-source contributions. Some employers add a take-home modeling challenge before the final round.
Where can I find and apply to computer vision researcher jobs?
You can find and apply to computer vision researcher jobs on Migrate Mate, which lists current openings from employers across the United States. The listings cover roles at every seniority level and across industries including autonomous vehicles, healthcare imaging, and consumer technology. Find roles that fit your background and apply directly to each listing.
See All 134+ Computer Vision Researcher Jobs
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