Research Scientist Intern, Meta Recommendation Systems (PhD)

What you'll do

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

What they ask for

• Currently has or is pursuing 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 systems based on machine learning and/or deep learning.
• Must obtain and maintain work authorization in the country of employment; intends to return to the degree program after the internship.

Nice to have

• Prior research or project experience in sequence modeling, recommendation systems, user modeling, or RL.
• Prior research or project experience with LLMs and agents.

Pay

$7,650/month to $12,667/month (currency not stated; compensation type not stated)

Tools

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

AI focus

Research and develop AI for recommendation systems, including multimodal content and user-interest understanding, LLM analysis, agentic AI, and recommendation models.