Research Scientist Intern, AI Agents and Machine Learning (PhD)

Meta•Sunnyvale, CA

3d•$7,650 - $12,667

About The Position

Meta is seeking a Research Scientist Intern to join Monetization Ranking & AI Foundations. The team works to serve personalized ads that maximize people’s utility and advertiser value, and advances artificial intelligence and machine learning research, particularly AI agents that reason, plan, and learn from experience. Research areas include large language models, reinforcement learning, learning from feedback, meta-learning, representation learning, optimization, and evaluation. Potential applications include agentic recommendation, ranking and retrieval, research automation, and other interactive decision-making environments. Interns collaborate closely with researchers and engineers across the organization, conduct state-of-the-art research, and develop algorithms and systems for AI agents and machine learning. They design and evaluate experiments, share findings through publications and open source, and contribute to research with potential applications at scale and in Meta products. Internships last 12–16 weeks or 24 weeks, with various start dates throughout the year.

Requirements

Currently have or be in the process of obtaining a Ph.D. in machine learning, artificial intelligence, computer science, natural language processing, reinforcement learning, optimization, computational statistics, applied mathematics, or a related technical field.
Obtain work authorization in the country of employment by the time of hire and maintain ongoing work authorization during employment.
Experience with deep learning frameworks such as PyTorch or TensorFlow.
Experience with Python, C++, C, Java, or another related programming language.
Experience conducting research and building systems based on machine learning and/or deep learning methods.

Nice To Haves

Intent to return to the degree program after completing the internship or co-op.
A track record of significant research results, including first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, ACL, AAAI, KDD, CoRL, or similar.
Research experience in one or more of the following: LLM agents, language-model post-training, reinforcement learning, planning, meta-learning, or learning from interaction.
Software engineering experience through research, internships, coding competitions, or contributions to open-source repositories.
Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches.
Experience working and communicating cross-functionally in a team environment.

Responsibilities

Conduct state-of-the-art research to advance the science and technology of machine learning and artificial intelligence.
Develop novel algorithms and corresponding systems for AI agents, learning, reasoning, and sequential decision-making.
Design rigorous experiments and analyze the effectiveness, efficiency, robustness, and generalization of learning algorithms and agentic systems.
Collaborate with researchers and engineers across varied disciplines, communicating research plans, progress, and results.
Publish research results and contribute to research that can be applied to Meta product development.