Research Scientist Intern, MSL Agents (PhD)

Meta; Menlo Park (CA); On-site; USD 41,000 - 62,000; Full time

Job summary

Meta seeks Research Interns to join our efforts in building Personal Superintelligence within Meta Superintelligence Labs (MSL). You will work across the full research-to-product stack—from user experiences and backend systems to data, evaluations, post-training, and deployment— applying frontier-model capabilities.

The internships run 12–16 or 24 weeks with multiple start dates. Ideal candidates are pursuing a Ph.D.

Qualifications

• Currently pursuing a Ph.D. in Computer Science, AI, Generative AI, or related field.
• Must have work authorization in the country of employment at time of hire.
• Experience with Python, C++, C, Java or related languages.
• Experience building ML/deep learning systems.
• Proven research track record (grants, fellowships, publications).
• Experience cross-functional teamwork.

Responsibilities

• Work across the full research-to-product stack—from user experiences to deployment.
• Contribute to core algorithmic advances and scale ideas to production.
• Collaborate with teams to evaluate and validate models and systems.

Skills

Python

C++

C

Java

Machine Learning

Deep Learning

Data Analysis

Open Source

Cross-Functional Teamwork

Experimentation

Algorithms

Research Communication

Education

PhD student in CS/AI

Tools

TensorFlow

PyTorch

Job description

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.

• 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