Computer Vision Engineer, Reality Labs
Burlingame, CAJob$154–217K/yrSeen 1w agoSeen in employer's feed today
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Job overview
The Computer Vision Engineer will research and apply software, computer vision, and machine learning techniques to challenges bridging virtual and real worlds. The role focuses on factory and online calibration algorithms for sensors and displays, with work spanning real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualization, and human interaction. The engineer will collaborate with Reality Labs and FAIR teams on AR/VR 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 Augmented and Virtual Reality (AR/VR) products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, RL 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 cutting-edge research and development of machine perception technologies from early concepts to production level across all of Facebook’s AR/VR products and surfaces. These include Oculus products, Facebook Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capacity across a range of product domains including Avatars, AR/VR remote presence/calling, AR Commerce, AR Sharing, Spatial, 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 and FAIR in computer vision, machine learning, and graphics
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Participate in cutting edge research in computer vision that can be applied to AR/VR product development
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Define projects for other engineers to achieve impact based on your direction
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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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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
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3+ years of experience developing and designing Computer Vision and Perception algorithms for Robotics technologies and systems
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Experience engineering in C++
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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
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MS degree in Computer Science, Computer Vision, Robotics or a related technical field
Preferred Qualifications:
Preferred Qualifications:
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Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, 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
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PhD degree in Computer Science, Computer Vision, Robotics or a related technical field
Public Compensation:
$154,003/year to $217,000/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].
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