Meta's MRS AI Knowledge team is looking to revolutionize recommendation systems by leveraging advancements in AI, including LLMs and generative AI, to enhance user experiences across their platforms.
Requirements
- Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics
- 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 with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
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
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 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
