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Computer Vision Engineer Jobs in San Mateo, CA (NOW HIRING)

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K/yr

Computer Vision Engineer Responsibilities: * Own end-to-end development of gesture recognition ML models from prototyping to production deployment on AR/VR devices * Collaborate with cross-functional ...

Mill

Computer Vision Engineer

San Bruno, CA

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational ...

Mill

Computer Vision Engineer

San Bruno, CA

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

... Computer Engineering, Machine Learning, or equivalent practical experience • Experience shipping ML models to production • Background in computer vision or machine learning, with focus on areas ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

Archer

Computer Vision Engineer

San Jose, CA · On-site

$140K - $260K/yr

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar

Mill

Computer Vision Engineer

San Bruno, CA · On-site

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational ...

Mill

Computer Vision Engineer

San Bruno, CA

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial -- the computer vision and agentic systems that turn a stream of food waste into operational ...

Archer

Computer Vision Engineer

San Jose, CA

$140K - $260K/yr

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$125K - $148K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role brid.

Pano

AI/Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

The Role We are looking for a motivated Computer Vision Engineer to help build the next generation of cloud/edge-based vision systems for wildfire detection and environmental monitoring. In this role ...

Apex Informatics

Computer Vision Engineer V

Sunnyvale, CA · On-site

$132K - $156K/yr

... programming and refactoring skills and able to understand and debug heavily threaded code. Preferred Qualification: • MS or PhD in EE/CS • Theoretical knowledge in the field of computer vision ...

Pano

Senior AI/Computer Vision Engineer

San Francisco, CA · On-site +1

$195K - $255K/yr

As a Senior AI/Computer Vision Engineer, you will lead the design, development, optimization, and deployment of AI models and inference pipelines across cloud and edge platforms. You will advance our ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in San Mateo, CA

Computer Vision Engineer information

See San Mateo, CA salary details

$55.2K

$138.4K

$156.6K

How much do computer vision engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for computer vision engineer in San Mateo, CA is $138,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $149,800.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in San Mateo, CA?

The most popular types of Computer Vision Engineer jobs in San Mateo, CA are:

What job categories do people searching Computer Vision Engineer jobs in San Mateo, CA look for?

The top searched job categories for Computer Vision Engineer jobs in San Mateo, CA are:

What cities near San Mateo, CA are hiring for Computer Vision Engineer jobs?

Cities near San Mateo, CA with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in San Mateo, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $138,406 per year, or $66.5 per hour.

Computer Vision Engineer

Meta

Burlingame, CA • On-site

$183K/yr

Full-time

Re-posted 23 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role bridges research and production—you'll take ML models from development through deployment, collaborating across teams to ship gesture-based interactions on Quest and Meta Glasses. This is not a pure research position; we're looking for someone who thrives at turning cutting-edge ML into real products that reach millions of users.
Computer Vision Engineer Responsibilities:
  • Own end-to-end development of gesture recognition ML models from prototyping to production deployment on AR/VR devices
  • Collaborate with cross-functional teams including research, hardware, product, and platform engineering to integrate models into shipping products
  • Optimize ML models for on-device performance, balancing accuracy, latency, and power constraints
  • Partner with Reality Labs Research (RL-R) to translate research breakthroughs into production-ready solutions
  • Define technical direction and mentor engineers on ML productization best practices

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, or equivalent practical experience
  • Experience shipping ML models to production
  • Background in computer vision or machine learning, with focus on areas such as gesture recognition, pose estimation, or object tracking
  • Experience with model optimization for edge/on-device deployment
  • Track record of cross-functional collaboration to deliver ML-powered features

Preferred Qualifications:
  • Experience deploying ML models on edge devices
  • Experience with gesture recognition, hand tracking, or human pose estimation
  • Background in real-time inference, model compression, or quantization techniques
  • 5+ years of industry experience in machine learning or computer vision
  • MS or PhD in Computer Science, Machine Learning, Computer Vision, or related field
  • Publication track record at conferences such as CVPR, NeurIPS, ECCV, ICCV, ICML

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 proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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.

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