Computer Vision Engineer, Reality Labs
Burlingame, CAJob$122–181K/yrSeen todaySeen in employer's feed today
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Job overview
Meta’s Reality Labs Mixed Reality organization researches and develops machine perception technologies for products including Quest, Meta Glasses, and the Family of Apps. The Computer Vision Engineer researches and applies software, computer vision, and machine learning techniques to challenges bridging virtual and real worlds, including real-time image processing, 3D graphics, SLAM, scene reconstruction, and human interaction. The role also contributes to sensor and display calibration and product development.
Skills & qualifications
Skills
Qualifications
Full job description
Summary:
The Reality Labs organization is helping more people around the world come together and connect through Virtual Reality and Wearables products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, Reality Labs is committed to advancing the state of the art through ongoing research and development. The potential to change the world is immense - and we’re just getting started.Our Mixed Reality (XR) organization is focused on advanced research and development of machine perception technologies from early concepts to production level across all of Reality Labs' products and surfaces. These include Quest products, Meta Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including avatars, AR/VR remote presence and calling, commerce, content sharing, spatial computing, sensor calibration, and more.In this role, you will be researching and applying a range of software, computer vision and machine learning techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualization and human interaction. As well there are opportunities to collaborate with researchers in Reality Labs (RL) and Facebook AI Research (FAIR).
Required Skills:
Computer Vision Engineer, Reality Labs Responsibilities:
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Design and develop novel factory and online calibration algorithms for sensors and displays. Design and prototype automation for calibration in collaboration with mechanical engineers and prototyping technicians
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Collaborate with cross-functional engineering and research teams from Reality Labs in computer vision and graphics
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Participate in advanced research in computer vision that can be applied to Wearables and VR product development
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Work with other engineers to bring new products to market
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Contribute to engineering best practices, code quality standards, and technical culture within your team
Minimum Qualifications:
Minimum Qualifications:
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Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
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2+ years of experience developing and designing Computer Vision and Perception algorithms for robotics technologies and systems
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Experience in C++ development
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Prototyping and engineering experience in at least one relevant specialization area in Computer Vision or Perception for Robotics: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion
Preferred Qualifications:
Preferred Qualifications:
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Masters or PhD degree in Computer Science, Computer Vision, Robotics, or a related technical field
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Publication track record at conferences such as SIGGRAPH, CVPR, NeurIPS, ECCV, ICCV, ISMAR, ICML, RSS, ICRA, IROS, etc
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Industry experience working on projects such as: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion
Public Compensation:
$121,992/year to $181,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
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 [email protected].
How this job compares
Set against the 6,099 open Machine Learning Engineer jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$122–181K/yr
- California median$176–261K/yr1,350 salary ranges
- US median$148–245K/yr4,859 salary ranges
This range's midpoint, $151K, is 32% below the California median midpoint ($222K) — in the lowest quarter of Machine Learning Engineer salary ranges in California.
- Openings
- Olive Jobs lists 1,824 open Machine Learning Engineer jobs in California and 6,099 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 2 years of experience — less than three in four Machine Learning Engineer postings that state a minimum ask for (median 5 years, across 4,881 postings).
- Education
- 2,296 of the 6,099 open Machine Learning Engineer jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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