Address
Form of workWe are looking for an experienced Research Scientist to join our Core-AI computer vision team in Reality Labs. In this role, you will have the opportunity to make a significant impact on the field of 3D content generation such as objects, scenes, texture and material for VR/MR and Metaverse. You will also work on fundamental research and be able to publish high quality papers in top-tier computer vision conferences. At Meta, you work alongside and learn from top minds in the field and have access to uniquely available large scale resources. Join us for this exciting and rewarding role.
- Research and develop novel computer vision models in Generative AI, with a focus on 3D objects, textures and video synthesis.
- Contribute to and apply research that advances Meta products
- Conduct and collaborate on research projects within a globally-based team
- Key contributor to papers / projects that hold a position towards remarkable contribution to both the field & company
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- PhD in computer vision and/or machine learning or related areas
- Understanding of modern computer vision concepts like Diffusion models, GANs, and LLMs
- Publications in top-tier computer vision venues (CVPR, NeurIPS, ECCV, ICCV, SIGGRAPH, ICML...)
- Fluency in Python and PyTorch
- 4+ years of post graduation industry, academic, or government lab experience in computer vision and/or machine learning
- Experience writing software and executing complex experiments.
Preferred Qualifications:
- Experience delivering state-of-the-art research in the CVML space into user experiences
- Experience working and communicating cross functionally in a team environment
- First author in top-tier publications in Generative AI topics (diffusion models, LLMs)
- Industry experience deploying computer vision models to production
- Experience with optimizing model architectures and algorithms for CPU/GPU, mobile, and other types of specialized hardware
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.
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.
