About the role#
This team builds synthetic data and simulation tools to train AI agents that use computers for everyday tasks. As a PhD intern, you will research ways to generate tasks that require stronger planning and reasoning. You will focus on planning and navigation workflows by designing generation methods, building prototypes, and running experiments to determine which task difficulties improve agent learning. This role combines research with practical engineering and contributes to training data for frontier models.
What you'll do#
- 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 you'll need#
- Currently pursuing or holding a PhD in computer science or a related field.
- Proficiency in Python.
- Experience designing and implementing machine learning experiments.
- Must obtain and maintain work authorization in the United States.
- Intent to return to your degree program after the internship.
- Proficiency in HTML, TypeScript, Docker, SQL, and AWS.
- Experience with language models, reinforcement learning, AI agents, automated planning, synthetic data, or evaluation methods.
Location & details#
- Location: Menlo Park, California.
- Modality: On-site.
- Term: Rolling.
- Compensation: $7,650 to $12,667 per month.
About Meta
Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.
How to get in at Meta
Landing an internship at Meta requires a proactive approach to the application process. Intern Insider sends an instant alert the moment a role matching your target is published, allowing you to apply among the first. Early applicants often have their materials reviewed before the applicant pool grows significantly. You can use Intern Insider to surface the recruiters behind specific roles at Meta. Reaching out directly to these individuals to ask about the position or a referral often improves your response rates compared to applying into a queue.
