Research Scientist Intern, Meta Recommendation Systems - Core ML (PhD)

What you'll do

• Lead research efforts in recommendation systems, including user and content understanding and multimodal LLM analysis.
• Conduct original research with potential product applications; publish work and release open-source software where appropriate.
• Design and support AI/ML libraries and models, and collaborate with researchers and cross-functional partners.

What they ask for

• Currently pursuing or already holds a Ph.D. in Computer Science, Machine Learning, Computer Vision, Artificial Intelligence, or a relevant technical field.
• Experience with Python and machine/deep-learning libraries such as Pytorch and Transformers.
• Familiarity with AI/ML modeling and algorithmic techniques and experience building machine-learning or deep-learning systems.
• Must obtain and maintain work authorization in the country of employment; intend to return to the degree program after the internship.

Nice to have

• Research or project experience in sequence modeling, recommendation systems, user modeling, RL, LLMs, or agents.
• Demonstrated software engineering experience and significant results such as publications, grants, fellowships, or patents.

Pay

$7,650/month to $12,667/month (USD; monthly compensation)

Tools

Python, Pytorch, Transformers, RAG, LSTM, GRU, RL

AI focus

Research and develop AI for recommendation systems, including multimodal content and user understanding, LLM-based classification and relevance, agentic AI, and related models and algorithms.