PhD Research Scientist Intern, Recsys—AI at Scale

Meta; Menlo Park (CA); On-site; USD 85,000 - 141,000; Part time

Job summary

Meta in Menlo Park, CA is seeking a Research Scientist Intern for the Recommendation Systems team. You will conduct cutting-edge AI research on multi-modal data and large-scale models to advance the state of the art in recommender systems across the Meta family of apps.

Ideal candidates are pursuing a PhD in a relevant field, have strong Python and ML library experience (PyTorch, Transformers), and can collaborate with researchers and product teams.

Qualifications

• PhD in Computer Science, ML, CV, or related field.
• Must obtain work authorization in country of employment.
• Experience with Python and ML libraries such as PyTorch and Transformers.
• Familiar with multimodal ML, LLMs, and large-scale systems.
• Experience building ML-based systems.

Responsibilities

• Initiate and lead long-term research goals in recommender systems.
• Publish findings and contribute to open-source software.
• Design, train, and support AI/ML libraries for internal use at Meta.
• Collaborate with researchers and cross-functional partners, communicating progress.

Skills

Python

PyTorch

Transformers

ML algorithms

Education

PhD in CS/ML

Job description

Meta in Menlo Park, CA is seeking a Research Scientist Intern for the Recommendation Systems team. You will conduct cutting-edge AI research on multi-modal data and large-scale models to advance the state of the art in recommender systems across the Meta family of apps.

Ideal candidates are pursuing a PhD in a relevant field, have strong Python and ML library experience (PyTorch, Transformers), and can collaborate with researchers and product teams.