Meta
Research Scientist Intern, User Modeling and Reinforcement Learning (PhD)
Bellevue, WA +1 · Internship · Posted Oct 27, 2026
- Location
- Bellevue, WA
Menlo Park, CA - Experience
- No years specified.
- Education
- Currently has or is in the process of obtaining a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Reinforcement Learning, Statistics, Applied Mathematics, or a related technical field.
- Visa sponsorship
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
About the job
Conduct an original research project on user modeling and reinforcement learning, translating findings into Meta ads systems and sharing results through publications.
What you'll do
- Conduct research and explore new directions in AI and machine learning.
- Collaborate with researchers and engineers, and bring promising ideas into products.
- Share findings through publications and engagement with the research community.
What they ask for
- Currently has or is pursuing a Ph.D. in a listed or related technical field, and intends to return to a degree program after the internship.
- Experience with deep learning frameworks such as PyTorch or TensorFlow, and with Python, C++, or another relevant programming language.
- Experience conducting research and building systems using machine learning or deep learning methods.
- Must obtain and maintain work authorization in the country of employment.
Nice to have
- Experience in self-supervised learning, transformers, temporal sequence modeling, representation learning, or recommender systems; and/or reinforcement learning, causal inference, counterfactual evaluation, or learning from delayed and censored outcomes.
- Research results evidenced by grants, fellowships, patents, or first-authored publications; plus experience with high-volume data, controlled experiments, or software engineering.
Pay
$7,650/month to $12,667/month (currency not specified; base salary or total pay not specified)
Tools
PyTorch, TensorFlow, Python, C++
AI focus
Research user intent and interests over time, representation learning, and reinforcement learning to improve ad relevance and decision-making with delayed outcomes.
Model-written summary · the original posting is authoritative