Meta is looking to solve the problem of advancing the state of the art in multimodal reasoning and generation research, and applying this research to product development.
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)
- PhD in AI, computer science, or related technical fields
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
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.
- 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
- Contribute to publications and open-sourcing efforts.
Other
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- A PhD in AI, computer science, or related technical fields
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer.
- Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.