Research Scientist, Computer Vision Generative Ai (Phd)

Meta is seeking a Research Scientist to join our productionization of AI Research Team, a research to production organization focused on making significant progress in AI and being a bridge between AI research and Meta Platforms products. Individuals in this role are expected to be recognized experts in computer vision.

Research Scientist, Computer Vision Generative AI (PhD) Responsibilities:

• Develop algorithms and models based on state-of-the-art computer vision and machine learning advancements, especially in the areas of generative AI (e.g. image, video, or 3d generation).
• Contribute to research to production efforts that advance Meta Platforms products.
• Conduct and collaborate on efforts within a globally-based team.

Minimum Qualifications:

• Currently has or is in the process of obtaining a PhD degree in the field of Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Research experience in computer vision.
• Proven publications in computer vision or artificial intelligence at peer-reviewed conferences (e.g. CVPR, ECCV, ICCV, NeurIPS, ICLR, or SIGGRAPH, etc.).
• Experience in developing and debugging in C/C++, Python, C#, or similar programming language.
• Experience manipulating and analyzing data from varying sources.
• Experience in theoretical and empirical research and in addressing research problems.
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

• Research experience in image generation, video generation, diffusion models, large-scale training, or generative AI.
• First author publications in computer vision or artificial intelligence at peer-reviewed conferences (e.g. CVPR, ECCV, ICCV, NeurIPS, ICLR, or SIGGRAPH, etc.).
• Experience to apply research to problems related to products.
• Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.
• 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 communicating research for public audiences of peers.

Facebook is proud to be an Equal 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.Facebook 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.