Meta
Research Scientist Intern, Integrity (Trust and Safety) AI (PhD)
Bellevue, WA +1 · Internship · Posted Oct 29, 2026
- Location
- Bellevue, WA
Seattle, WA - Education
- Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, Statistics, 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
Conduct end-to-end research on efficient, reliable AI systems that detect harmful actors and support integrity enforcement across Facebook.
What you'll do
- Develop and evaluate methods for training, distilling, and updating large language and multimodal models for policy decisions.
- Run rigorous experiments and improve production models’ efficiency, calibration, robustness, and reliability.
- Collaborate with research, engineering, and policy partners; publish findings and support product development.
What they ask for
- Currently pursuing or obtaining a Ph.D. in a relevant technical field and intend to return to the degree program after the internship.
- Experience with Python, deep learning frameworks such as PyTorch, and machine-learning research involving model training or fine-tuning and evaluation experiments.
- Research achievement demonstrated by publications at leading venues, and familiarity with large language models and AI-native development.
- Must obtain and maintain work authorization in the country of employment.
Nice to have
- Research or project experience in areas such as continual learning, distillation, LLM post-training, calibration, multimodal modeling, or sequence/graph modeling.
- Experience applying ML to trust and safety, content moderation, fraud or abuse detection; large-scale or parameter-efficient training; or demonstrated software development.
Pay
$7,650/month to $12,667/month (base salary)
Tools
Python, PyTorch, Gemini, Claude, Muse, LoRA
AI focus
Research and develop agentic AI and large language and multimodal models for bad-actor detection and policy enforcement, including model distillation, evaluation, calibration, and reliability improvements.
Model-written summary · the original posting is authoritative