Meta's MRS AI Knowledge team is looking to revolutionize recommendation systems by leveraging the latest advancements in AI, including Large Language Models (LLMs) and generative AI, to deliver exceptional user experiences across their platforms.
Requirements
- Direct experience in generative AI and LLM research
- Experience with deep learning frameworks (such as pytorch, tensorflow) and Python
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
- Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics
Responsibilities
- Collaborate, and execute on research that pushes forward the state of the art in large language model research
- Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
- 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
Other
- 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 Computer Science, Artificial Intelligence, Data 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
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
- Experience working and communicating cross functionally in a team environment
