Meta's app growth by revolutionizing recommendation systems through Large Language Models (LLMs) and generative AI
Requirements
Experience with language model training (ie. LLMs) or related ML/AI model training
Experience working with machine learning libraries like Pytorch, Tensorflow, etc
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 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
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
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Experience taking ideas from research to production
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
