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 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 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 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.).
• 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.

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