Research Scientist Intern, Computer Use 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.

We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, agentic modeling, code generation, compilers, programming languages, natural language processing, machine learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

We offer twelve (16) to twenty-four (24) weeks long internships and we have various start dates throughout the year.Research Scientist Intern, Computer Use Agents (PhD) Responsibilities

• Perform research to advance the science and technology of intelligent machines
• Develop new methods and systems for AI agents, reinforcement learning, planning, model based reward modeling and related problems
• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
• Currently is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or relevant technical field
• Expertise in areas relevant to the internship topics such as agent modeling, reinforcement learning, code generation, computational world modeling, language modeling, planning, agentic scaffolds, memory systems or others, as demonstrated by publications, coursework, blog posts, prior internships, and other relevant contributions
• Experience with Python and deep learning frameworks such as Pytorch or Tensorflow, as demonstrated by course projects, open source releases, or similar venues
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
• Intent to return to a degree program after the completion of the internship
• 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, CVPR, ICCV, ECCV, ICLR, ICML, ACL, NAACL, EMNLP, or similar
• Experience with interpreting deep neural networks mechanistically, correlating their observable behavior with properties of model parameters and activations
• Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Experience working and communicating cross functionally in a team environment

Minimum QualificationsPreferred Qualifications For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$7,650/month to $12,134/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.



Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.