Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant advances in AI. Our organization is motivated by producing new science to understand intelligence and technology towards achieving advanced machine intelligence. We are seeking researchers with experience in computer vision to join the team to investigate how to build social AI that will be the foundation for a new paradigm in how we interact and use computers. You will work with a highly interdisciplinary team of scientists, engineers, and cross-functional partners and access cutting-edge technology, resources, and research facilities.
Fundamental AI Research Scientist, Computer Vision - FAIR (PhD) Responsibilities:
- Conduct research in 2D/3D human motion understanding and generation.
- Define, build and benchmark new capabilities needed for the next generation of social AI.
- Train and optimize state-of-the-art machine learning and neural network methodologies.
- Contribute to and apply research that advances Meta products.
- Conduct and collaborate on research projects within a globally-based team.
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.
- Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Computer Vision, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Experience in deep learning frameworks (such as PyTorch, TensorFlow), C, C++, Python.
- Experience in training and use of diffusion models.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences (NeurIPS, ICML, ICLR) or Computer Vision (CVPR, ICCV)
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications:
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- Experience building systems based on machine learning and/or deep learning methods.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- Experience working and communicating cross functionally in a team environment.
- Experience in human motion understanding or generation.
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.
$117,000/year to $173,000/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.
