Meta is seeking a Research Scientist to join our Multimodal understanding and generation research team. We are looking for recognized experts in generative AI, multimodal reasoning, computer vision, with experience in areas like image and video generation, multimodal model training; data processing for pretraining and fine-tuning; reinforcement learning for model tuning; efficient training and inference; . The ideal candidate will have an interest in producing and applying new science to help us develop and deploy large multimodal models.

Fundamental Research Scientist - Generative AI Responsibilities

• Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.


• Work towards long-term ambitious research goals, while identifying intermediate milestones.


• Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.


• Work with a large team.


• Contribute to publications and open-sourcing efforts.


• Mentor other team members. Play a significant role in healthy cross-functional collaboration.


• Prioritize research that can be applied to Meta's product development.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.


• PhD in computer vision, machine learning, NLP, computer science, applied statistics, or other related fields


• Publications in machine learning


• Experience writing software and executing complex experiments involving large AI models and datasets.


• Proven work experience in a university or industry lab(s), in a lead role with primary emphasis on AI research


• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

• Direct experience in generative AI, computer vision and multimodal research.


• 2+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.


• First author publications experience at peer-reviewed AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, EMNLP, and ACL).


• Experience in developing and debugging in Python.


• Experience driving original scholarship in collaboration with a team