Revolutionizing recommendation systems by leveraging the latest advancements in AI, including Large Language Models (LLMs) and generative AI, to deliver user experiences across Meta's apps.
Requirements
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
- 1+ year(s) of industry work experience with an emphasis on AI Research in natural language understanding, machine learning, deep learning, or related fields
- Experience with language model training (ie. LLMs) or related ML/AI model training
- Experience working with machine learning libraries like Pytorch, Tensorflow, etc
- Experience focused in multimodal models, reinforcement learning, and/or reasoning
- Proven track record of achieving significant results as demonstrated by publications at leading workshops, journals or conferences such as ICASSP, INTERSPEECH, NeurIPS, ICML, ICLR, or similar
- Experience taking ideas from research to production
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, developing reusable code, running evaluations, and organizing results
- Contribute to publications and open-sourcing efforts
- Help identify long-term 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
- 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
