ML Innovation for Products, PhD Research Intern
About The Position
The ML Innovation for Products (MLIP) team is an applied machine learning and research team within Meta’s Ranking & Foundational AI organization. The team develops state-of-the-art machine learning for retrieval, ranking, and auctions across Meta’s advertising systems, taking ideas from research and prototypes through to production-scale deployment. Its work supports recommendation systems serving users across Facebook, Instagram, and other Meta products. The intern may contribute to research and applications spanning memory-based recommendation models; billion-node graph learning; multimodal and large language model fusion with graph signals; agentic AI systems for planning, orchestration, memory, and execution; and reinforcement-learning policies for optimizing advertising retrieval decisions. The team works closely with researchers, engineers, and product groups, and its research is often published at major machine learning and recommender-systems conferences. The team comprises 15 machine learning engineers and research scientists across Sunnyvale and the Bay Area. It supports collaboration and learning through technical deep dives, AI best-practice workshops, and an onboarding buddy system.
Requirements
- Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, 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 with deep learning frameworks such as PyTorch or TensorFlow.
- Experience with Python, C++, C, Java, or other related languages.
- Experience with research and building systems based on machine learning and/or deep learning methods.
Nice To Haves
- Intent to return to degree program after the completion of the internship/co-op.
- Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, or first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar.
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches.
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources for large-scale training.
- Experience working and communicating cross functionally in a team environment.
Responsibilities
- Conduct state-of-the-art research to advance the science and technology of Machine Learning and Artificial Intelligence.
- Develop novel algorithms and corresponding systems, leveraging various AI and ML techniques including LLMs and agentic pipelines.
- Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
- Collaborate with researchers and engineers across varied disciplines, including communicating research plans, progress, and results.
- Publish research results and contribute to research that can be applied to Meta product development.
Benefits
- Benefits are offered; specific benefits are not listed.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
