PhD Research Scientist Intern: Synthetic Data for AI Agents

Meta; Menlo Park (CA); On-site; USD 85,000 - 141,000; Part time

Job summary

Meta is seeking a PhD intern to research generation of challenging tasks to improve planning and reasoning in AI agents. You will design generation methods, build prototypes, and run experiments to understand task difficulty and its impact on learning.

The program blends research with practical engineering and aims to contribute to frontier-model training data. The role focuses on planning and navigation workflows, with opportunities to work on synthetic data, evaluation methods, and scalable

Qualifications

• 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

Responsibilities

• Research methods for generating diverse, challenging reinforcement learning (RL) 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.

Skills

Python

RL experiments

Experiment design

AI agents

Education

PhD in CS or related field

Tools

Docker

SQL

AWS

HTML

TypeScript

Job description

Meta is seeking a PhD intern to research generation of challenging tasks to improve planning and reasoning in AI agents. You will design generation methods, build prototypes, and run experiments to understand task difficulty and its impact on learning.

The program blends research with practical engineering and aims to contribute to frontier-model training data. The role focuses on planning and navigation workflows, with opportunities to work on synthetic data, evaluation methods, and scalable