Research Scientist Intern, Synthetic Data for Computer Use Agents (PhD)

Meta • Menlo Park, CA

3d • $7,650 - $12,667

About The Position

The team builds synthetic data, simulation tools, and infrastructure to train AI agents to use computers to complete everyday tasks. The PhD intern will research methods for generating tasks that require stronger planning and reasoning, initially focusing on planning and navigation workflows. The role combines research and practical engineering: designing task-generation methods, building prototypes, and running experiments to understand which types of task difficulty help agents learn. The work offers an opportunity to contribute to training data for frontier models.

Requirements

• Currently has, or is obtaining, a PhD in computer science or a related field.
• Proficiency in Python.
• Experience designing and implementing machine learning experiments.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Nice To Haves

• Proficiency in HTML, TypeScript, Docker, SQL, and AWS.
• Experience with language models, reinforcement learning, AI agents, automated planning, synthetic data, or evaluation methods.
• Intent to return to the degree program after completion of the internship.

Responsibilities

• Research methods for generating diverse, challenging reinforcement learning tasks with reliable success checks.
• Develop ways to measure and control task difficulty.
• Evaluate agent performance and distinguish reasoning failures from problems in tasks or environments.
• Build reproducible experiments and communicate findings and limitations.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree