Codec Avatars Research Engineer

At the Codec Avatar Lab, we aspire to achieve a vision of social presence in VR and AR where people are able to connect with each other across distances in a way that is indistinguishable from in-person interactions. We are looking for exceptional research engineers who are excited about innovating upon research prototypes to make them well-engineered systems. You will act as a bridge between world-class researchers and engineers, collaborating together on the innovation necessary to build the foundations of social presence technology. At our lab, you will be exposed to facilities, algorithms, and data that are years ahead of anything else in existence today. We want people who work well across disciplines, are excited about getting research prototypes to really work, and are excited to work in new technology areas.Codec Avatars Research Engineer Responsibilities

• Collaborate with researchers on design and optimization of cutting-edge technology related to realistic avatars.
• Collaborate with engineers to scale and mature first-of-their-kind telepresence systems, to make them maximally performant, and to fuse together composite systems into a full-scale telepresence service.
• Collaborate with other machine and human perception teams at Facebook to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR systems.

Minimum Qualifications

• 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.
• BS or MS degree in Computer Science or related field plus 2+ years of work experience in CV/ML. Alternatively, PhD degree in Computer Science or related field.
• 2+ years of practical experience with training ML models in an industry or academic setting.
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

• Experience with Generative ML models.
• Experience with real world system building and data collection in the context of training ML models, including design, coding (C++/Python) and evaluation (C++/Python).
• Publication in leading workshops or conferences such as CVPR, ECCV, ICCV, SIGGRAPH, ICCP, RSS, ICRA, etc.
• Experience developing software for computer vision, computer graphics, high performance computing, machine learning, or robotics applications

For those who live in or expect to work from California if hired for this position, please click here for additional information. LocationsAbout 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. $56.25/hour to $137,000/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.