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
- 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
- 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
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
- Experience working and communicating cross functionally in a team environment
