Computer Vision Engineer Jobs
Computer Vision Engineer jobs are open across automotive, robotics, healthcare, defense, and consumer tech, from new-grad to staff and principal levels, with specializations in object detection, 3D reconstruction, and autonomous systems. Find a role that fits from the openings below and apply directly.
Find Computer Vision Engineer JobsStudent or new grad? View computer vision engineer internships →Overview
Showing 5 of 133+ Computer Vision Engineer jobs
Research Engineer, Computer Vision Responsibilities:
- Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta's products and experiences
- Assist in goal setting related to project impact, AI system design, and ML rigor
- Drive large efforts across multiple teams
- Mentor other AI Engineers and improve the quality of AI work in the broader team
- Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
- Apply in-depth knowledge of how the machine learning system interacts with the other systems around it
Minimum Qualifications:
- Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, Machine Learning or artificial intelligence
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python
Preferred Qualifications:
- Experience in language guided vision systems
- Experience with distributed systems or on-device algorithm development
- Experience in deep learning and PyTorch
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Research Engineer, Computer Vision Responsibilities:
- Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta's products and experiences
- Assist in goal setting related to project impact, AI system design, and ML rigor
- Drive large efforts across multiple teams
- Mentor other AI Engineers and improve the quality of AI work in the broader team
- Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
- Apply in-depth knowledge of how the machine learning system interacts with the other systems around it
Minimum Qualifications:
- Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, Machine Learning or artificial intelligence
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python
Preferred Qualifications:
- Experience in language guided vision systems
- Experience with distributed systems or on-device algorithm development
- Experience in deep learning and PyTorch
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Computer Vision Engineer Jobs by Experience Level
See All 133+ Computer Vision Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Computer Vision Engineer JobsComputer Vision Engineer Job Market
Who's Hiring
- Apple18
- Meta10
- NVIDIA5
- Allen Control Systems5A
- Amazon4
Top Industries Hiring
- Technology & Software14
- Electronics & Hardware11
- Consulting & Professional Services5
- Retail1
- Automotive1
What Employers Look For
The qualifications that appear most often in computer vision engineer jobs.
- Proficiency in Python with deep learning frameworks such as PyTorch or TensorFlow
- Hands-on experience with OpenCV and classical image processing techniques
- Strong understanding of convolutional neural network architectures and object detection models
- Experience deploying models to production environments including cloud or edge hardware
- Familiarity with 3D vision techniques such as point cloud processing or stereo depth estimation
- Bachelor's or master's degree in computer science, electrical engineering, or a related field
Tips for Your Computer Vision Engineer Job Search
Quantify your model performance results
Hiring managers want numbers, not descriptions. Replace 'improved detection accuracy' with the exact mAP score, inference latency reduction, or false-positive rate you achieved. Reviewers skim resumes fast, and concrete metrics on real datasets make your work immediately credible.
Tailor your GitHub to each application
Pin repositories that match the stack in the job description. If a role emphasizes real-time edge inference, push your TensorRT or ONNX runtime project to the top. Reviewers often check GitHub before the phone screen, so alignment there can determine whether you advance.
Apply early to roles that fit
Migrate Mate lists computer vision engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target job descriptions by deployment environment
Cloud-hosted pipeline roles and embedded edge-device roles call for different skills. Read postings carefully for keywords like CUDA, OpenVINO, or FPGA to distinguish them. Applying to roles that match your actual deployment experience dramatically improves your callback rate.
Prepare a live demo for technical screens
Many computer vision interview loops include a take-home or live coding task involving image processing or model inference. Practice explaining your architectural choices out loud, not just writing code. Interviewers weigh your reasoning as heavily as your solution.
Negotiate using competing offer timelines
If you have multiple interviews in flight, coordinate your offer deadlines before any explode. Letting a hiring team know you have another process moving forward is standard and often accelerates their decision. Use that window to request additional time or a competing offer match.
Computer Vision Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most computer vision engineers?
The companies hiring the most computer vision engineers right now include Apple, Meta, and NVIDIA, with the largest share of openings in California, Washington, and Virginia, based on current listings on Migrate Mate as of August 2026. Automotive, defense, and consumer robotics employers tend to post the highest volumes of these roles.
How many computer vision engineer jobs are remote?
About 39% of computer vision engineer openings are fully remote or hybrid as of August 2026, making it a more location-flexible field than many hardware-adjacent engineering disciplines. Research-focused and cloud-pipeline roles tend to be the most remote-friendly, while positions involving physical cameras, robots, or embedded systems typically require on-site presence.
How do you become a computer vision engineer?
Start by building a strong foundation in linear algebra, calculus, and probability, then learn Python alongside a deep learning framework such as PyTorch. Work through publicly available datasets like COCO or ImageNet to build hands-on experience with detection and segmentation pipelines. Complete projects you can publish to GitHub, contribute to open-source vision libraries, and apply to entry-level or internship roles that involve real deployment work.
Can you get hired as a computer vision engineer without much experience?
Yes, but your portfolio has to substitute for work history. Build end-to-end projects that go beyond notebook tutorials, such as a deployable object detection app or a real-time inference pipeline running on your own hardware. Open-source contributions, Kaggle competition placements in vision tracks, and published research, even preprints, all signal practical ability to hiring teams evaluating candidates without a professional resume.
What does the computer vision engineer interview process look like?
Most processes include an initial recruiter call, a technical phone screen covering Python and deep learning fundamentals, and a multi-stage loop with a take-home or live coding task focused on image processing or model evaluation. Later rounds typically involve a system design discussion around vision pipelines at scale and a cross-functional presentation where you walk through a past project in detail. Some roles add a paper review or research discussion.
Where can I find and apply to computer vision engineer jobs?
You can find and apply to computer vision engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and specialization, then apply directly to each one that fits.
See All 133+ Computer Vision Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Computer Vision Engineer Jobs