Fundamental Multimodal Research Scientist - Generative Ai

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

Fundamental Multimodal 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.
• 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.
• Help identify long-term ambitious research goals as well as intermediate milestones.
• Prioritize research that can be applied to Meta's product development.
• Mentor other team members. Play a significant role in healthy cross-functional collaboration.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• A PhD in AI, computer vision, computer science, data science, or related technical fields.
• Experience holding an industry, faculty, or government researcher position.
• Publications in machine learning
• Experience writing software and executing complex experiments involving large AI models and datasets.
• 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., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
• Experience in developing and debugging in Python.

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.