About the role#
This internship focuses on recursive self-improvement and autoresearch. You will join the Monetization Ranking and AI Foundations team to investigate whether AI research agents can improve their own performance by learning from their experiments. Your work will involve designing agents that form hypotheses, run experiments, and analyze outcomes to refine their future research trajectories. You will have the opportunity to define a specific research question within this scope with the goal of producing a paper for a major conference like ICLR, ICML, or NeurIPS.
What you'll do#
- Conduct research on recursive self-improvement and self-improving AI agents.
- Design and evaluate agents that use tools, analyze outcomes, and learn from prior research.
- Develop methods to improve LLMs through reinforcement-learning post-training or by optimizing the surrounding harness of prompts, memory, and orchestration.
- Build evaluation and reward signals for long-running experiments while guarding against reward hacking.
- Study whether performance gains compound across multiple rounds of self-improvement.
- Collaborate with researchers and engineers to communicate progress and contribute to product development.
What you'll need#
- Current enrollment in or completion of a Ph.D. program in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Mathematics, or a related technical field.
- Experience with deep learning frameworks like PyTorch or TensorFlow.
- Proficiency in programming languages such as Python, C++, C, or Java.
- Experience building systems based on machine learning or deep learning methods.
- A track record of research results demonstrated by publications, patents, or fellowships.
- Experience working with high-volume, complex data for large-scale training.
- Intent to return to your degree program after the internship.
- Ability to obtain and maintain work authorization in the United States.
Location & details#
- This is a full-time, paid internship located on-site in Sunnyvale or Menlo Park, California.
- The term is rolling with durations of 12, 16, or 24 weeks.
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.
