Research Scientist Intern, MSL Agents (PhD)

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.

Meta is seeking Research Interns to join our efforts in building Personal Superintelligence within Meta Superintelligence Labs (MSL). We focus on turning ambiguous, real-world product problems into shipped systems and measurable improvements in frontier-model capabilities, including long-horizon agents, tool use, full-stack coding, search, and personalization. In this role, you will work across the full research-to-product stack—from user experiences, backend systems, and agent environments to data, evaluations, post-training, and deployment. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.

Responsibilities

• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
• Perform research that can be applied to Meta product development.
• Work hands-on across the full LLM post-training stack.
• Build high-quality training data and design and run rigorous, product-relevant evaluations.
• Execute, analyze, and iterate on large-scale post-training runs.
• Advance long-horizon agentic capabilities, including tool use, full-stack coding, search, planning, and personalization.
• Research improved training, evaluation, synthetic-data generation, and data-curation strategies.

Minimum qualifications

• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Generative AI, or relevant technical field
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
• Experience with Python, C++, C, Java or other related languages
• Experience building systems based on machine learning and/or deep learning methods Intent to return to the degree program after the completion of the internship/co-op
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL or similar
• Experience working and communicating cross functionally in a team environment
• Experience in advancing AI techniques, including core contributions to open source libraries and frameworks in computer vision
• Experience solving analytical problems using quantitative approaches
• Experience setting up ML experiments and analyzing their results
• Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
• Experience in utilizing theoretical and empirical research to solve problems
• Experience with deep learning frameworks

Preferred qualifications

• Intent to return to the degree program after the completion of the internship/co-op
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL or similar
• Experience working and communicating cross functionally in a team environment
• Experience in advancing AI techniques, including core contributions to open source libraries and frameworks in computer vision
• Experience solving analytical problems using quantitative approaches
• Experience setting up ML experiments and analyzing their results
• Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
• Experience in utilizing theoretical and empirical research to solve problems
• Experience with deep learning frameworks