AI Research Scientist, Computer Vision - XR People Generation

The XR People Generation team works in collaboration with Reality Labs Research partners in order to deliver the future of communication - photorealistic telepresence via Codec Avatars. Our aspiration is to connect people separated by distance as if they were in the same room together.

We achieve this by researching, developing and productionizing state-of-the-art methods in cross sections of computer graphics, computer vision and machine learning for human understanding and telepresence. These include (semi-) supervised deep learning, generative adversarial learning, active learning, neural rendering, depth sensing, 3D reconstruction, character animation and rendering.

AI Research Scientist, Computer Vision - XR People Generation Responsibilities

• Conduct applied research and develop novel, accurate AI algorithms and advanced systems for large scale applications

Work on large initiatives or multiple projects of high complexity/scope and define clear long term objectives with short and medium term goals

Collaborate with different cross functional teams in research and product sides

Give technical research direction to the team as tech lead

Mentor other researchers in the team

Coding %: 70. System Design %: 30

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

PhD in Computer Science, Computer Engineering, or relevant technical field with 5+ years of experience

Led XFN groups across research and product towards meeting experiential and engineering targets

Track record of delivering research into production, driving algorithmic changes towards on-device optimization

Experience developing computer vision and machine learning algorithms in C/C++ and/or Python/PyTorch

Experience with training and evaluating generative modeling (GANs, diffusion)

Fundamentals of 3D machine learning and graphics

Preferred Qualifications

• First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, SIGGRAPH)

Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward towards bringing state-of-the-art approaches onto real world devices

Experience working and communicating cross functionally in a team environment

Experience in machine learning infra systems

Experience with CPU/GPU and mobile optimization

Locations

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 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.

$143,000/year to $208,000/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.