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Internship Computer Vision Engineer Jobs in San Ramon, CA

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

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

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.

AI/Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

... internships or research) in software engineering, machine learning, or computer vision ... Experience with Python and deep learning frameworks such as PyTorch. * Understanding of machine ...

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Internship Computer Vision Engineer information

See San Ramon, CA salary details

$15

$28

$43

How much do internship computer vision engineer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for internship computer vision engineer in San Ramon, CA is $28.40, according to ZipRecruiter salary data. Most workers in this role earn between $23.12 and $32.26 per hour, depending on experience, location, and employer.

What does an internship computer vision engineer do?

An Internship Computer Vision Engineer assists in developing and testing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They often work on tasks like object detection, image classification, and facial recognition using programming languages like Python and tools such as OpenCV or TensorFlow. Interns may also help collect and annotate datasets, run experiments, and analyze results under the guidance of senior engineers. This role is ideal for students or recent graduates seeking hands-on experience in the field of computer vision and artificial intelligence.

What are the key skills and qualifications needed to thrive as an internship computer vision engineer?

To thrive as an Internship Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, usually demonstrated through coursework or relevant project experience. Familiarity with programming languages like Python or C++, frameworks such as OpenCV or TensorFlow, and knowledge of machine learning algorithms are commonly expected. Strong problem-solving abilities, attention to detail, and effective teamwork skills help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and optimizing computer vision solutions that address real-world visual data challenges.

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

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

What are popular job titles related to Internship Computer Vision Engineer jobs in San Ramon, CA?

For Internship Computer Vision Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

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

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

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

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

Computer Vision Engineer

Burlingame, CA • On-site


Meta
Internet and IT • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

People enjoy working here

Good employer

Recommended by students


$183K/yr

Full-time

Re-posted 24 days ago


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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