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.Facebook's mission is to give people the power to build community and bring the world closer together. Through this R&D effort, we're building the next medium of communication that will connect billions of people around the world, giving them deeper ways to share what matters most to them, and will help bring people closer together. People at Facebook are builders at heart. Together, we can help people build stronger communities - and we're just getting started!

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

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 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 accommodations-ext@fb.com.