Meta
Research Scientist Intern, Video RecSys (PhD)
Menlo Park, CA · Internship · Posted Oct 30, 2026
- Education
- Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or relevant technical field.
- Visa sponsorship
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
About the job
Build and evaluate an agent-driven Recursive Self-Improvement prototype that proposes and refines improvements to Facebook’s large-scale video recommendation models.
What you'll do
- Develop the RSI agent and bounded training-data interventions, such as filtering, sampling, and reweighting.
- Automate reproducible experiment setup and offline evaluation, and use model-quality feedback to refine the agent.
- Measure model quality and experimentation costs, document results, collaborate with partners, and contribute to research for Meta products.
What they ask for
- Currently has or is pursuing a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a relevant technical field; intends to return to the degree program after the internship.
- Experience with Python, C++, C, Java, or another related language, and with PyTorch or TensorFlow.
- Familiarity with machine learning and common deep learning architectures; experience building reproducible ML experimentation and evaluation pipelines on large-scale distributed training systems.
- Research achievements demonstrated through grants, fellowships, patents, or publications at leading AI conferences; prior research or project experience in a listed relevant area.
Nice to have
- Demonstrated software development experience through internships, work, coding competitions, or open-source contributions.
- Experience communicating cross-functionally and driving research iterations based on analysis of results.
Pay
$7,650/month to $12,667/month (currency not stated; pay type not stated)
Tools
Python, C++, C, Java, Pytorch, Tensorflow
AI focus
Build AI agents for Recursive Self-Improvement: autonomously propose, run, evaluate, and learn from improvements to video recommendation models.
Model-written summary · the original posting is authoritative