Meta is looking to push the state of the art in multimodal reasoning and generation research, specifically in vision large language models (VLLM), to explore new techniques for advanced reasoning and multimodal understanding for AI Assistants, and to find a path from research to production for these advancements.
Requirements
- Publications in machine learning, computer vision, NLP, speech
- Experience writing software and executing complex experiments involving large AI models and datasets
- First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
- Direct experience in generative AI and LLM research.
- Fluent in Python and PyTorch (or equivalent)
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.
- Contribute to publications and open-sourcing efforts.
- Push state of the art in multimodal generative AI
- Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants
- Mentor and work with AI/ML engineers to find a path from research to production
Other
- Work with a large team.
- Mentor other team members.
- Play a significant role in healthy cross-functional collaboration.
- Prioritize research that can be applied to Meta's product development.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
