Research Engineer - Computer Vision & Machine Learning

Key Skills

AI Robotic systems, C++, Computer Graphics, Computer Vision (CV), Machine learning techniques, NeurIPS, OpenCV, Python Programming

Job Description

• Develop creative computer vision and tracking software supporting Meta AR and VR research
• Plan and execute cutting-edge research to advance machine perception technology and user context understanding
• Develop novel real-time 3D scene understanding techniques
• Research and prototype techniques and algorithms for 2D/3D object detection and recognition
• Develop robust software for integrating multiple sensors and scene understanding systems
• Develop human-in-the-loop data annotation tools and systems

Minimum Qualifications

• Currently has or is in the process of obtaining a PhD degree or postdoctoral assignment in the field of Computer Vision, Machine Learning, Computer Graphics, Robotics or similar
• 3+ years experience with computer vision – specifically 2D/3D scene understanding
• 2+ years of experience engineering in C++ or Python
• 2+ Experience with computer vision/machine learning libraries such as OpenCV / Torch
• Knowledge in image analysis, machine learning, information theory, and 3D geometry
• 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.

Preferred Qualifications

• Strong understanding of computer vision and 3D geometry concepts, with experience in developing and deploying computer vision applications.
• Experiences in working with large-scale datasets through semi-supervision and self-supervision
• 5+ years of experience in the field of 2D/3D scene understanding with CV/ML in production
• Professional industry experience in the field of Computer Vision, Machine Learning, Computer Graphics, Robotics or similar
• Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc.
• Experience with annotation tooling and techniques for labeling and annotating data, including bounding boxes, keypoints, and semantic segmentation.

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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$116,002/year to $168,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.