Meta is seeking Research Interns to join their "Modern Recommendation Systems" (MRS) AI Innovation Center. The MRS org is developing a unified infrastructure and model service to improve recommendations across Facebook, Instagram and WhatsApp, the "Family of Apps" (FoA). The goal is to understand multi-modal content, especially videos, as well user interests/preference, to connect users to the content they enjoy, are inspired by, and that they want to see more of.
Requirements
- Experience with Python, with experience in machine learning libraries such as Pytorch
- Familiarity with AI/ML modeling techniques (e.g., LLM, RAG, LSTM, GRU, Transformers) and/or its acceleration for large scale use cases
- Experience building systems based on machine learning and/or deep learning methods
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, KDD, ICML, SIGIR, WSDM, RecSys, CIKM, CVPR, ECCV, ACL, EMNLP, ICASSP, or similar
- Prior research or project experience in sequence modeling, recommendation systems, or user modeling
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Responsibilities
- Initiate and lead efforts towards long-term ambitious research goals, while identifying intermediate milestones in the area of recommendation systems and models, user and content understanding and multi-modal (video, audio, and text) LLM analysis for classification and relevance use cases
- Conduct original research that can eventually be applied to Meta product development, engage with the wider research community, including publishing and releasing open source software where appropriate
- Design, train and support video understanding libraries and models to implement new features and functionality for use internally at Meta
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Other
- Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Intent to return to the degree program after the completion of the internship/co-op
- Experience working and communicating cross functionally in a team environment
