Computer Vision Engineer

Computer Vision Engineer Responsibilities

Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment
Partner with cross-functional teams to ship ML models end-to-end, leveraging broad ML expertise to drive solutions from prototype to production
Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into the product
Collaborate with cross-functional engineering and research teams from Reality Labs (RL) in computer vision, machine learning, and graphics
Participate in cutting-edge research in computer vision that can be applied to AR/VR product development
Define and scope projects for other engineers, providing technical direction and success criteria

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 7+ years of industry experience in machine learning, computer vision, or related fields
• Experience shipping ML models to production, including the full ML production cycle from development to deployment
• Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: SLAM State Estimation, Online Calibration, Sensor Fusion, 3D reconstruction, object detection, segmentation and tracking, scene understanding, or semantic segmentation

Preferred Qualifications

• Industry experience working on projects such as: real-time Simultaneous Localization and Mapping (SLAM) and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing. Image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation
• Experience developing and designing Computer Vision and/or Machine Learning technologies and systems for running on edge devices (mobile phones, and/or custom hardware)
• Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc
• PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field
• Experience productizing and deploying ML models on edge devices (mobile phones, AR/VR headsets, and/or custom hardware)

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.

Meta is an Equal 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.

Compensation

$183,997/year to $257,000/year + bonus + equity + benefits