Meta is hiring a Research Scientist Intern, AI Applied Reinforcement Learning (PhD)

The Applied Reinforcement Learning team is responsible for all reinforcement learning applications across Meta's Family of Apps and Reality Labs. We conduct state-of-the-art industry research in reinforcement learning to bridge the gap between theoretical reinforcement learning and real-world problems. We also own Meta's central reinforcement learning platform, ReAgent (reagent.ai), which is also open-sourced as the production ready reinforcement learning platform.

We are hiring research interns to help us with a vision to bring reinforcement learning to large scale real-world systems. In this internship, you will work with top researchers in applied reinforcement learning to conduct industry research on reinforcement learning algorithms with a goal to achieve a better algorithm, design an algorithm in real-world applications and publish a paper at the end of the internship.

Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com.Research Scientist Intern, AI Applied Reinforcement Learning (PhD) Responsibilities

• Perform research to advance the science and technology of machine learning
• Devise better data-driven models of human behavior
• Contribute research that can be applied to Meta product development

Minimum Qualifications

• Currently has, or is in the process of obtaining a PhD degree in the field of Reinforcement Learning
• Experience with Python, C++, Java or other related language
• Experience with deep learning frameworks such as Pytorch or Tensorflow
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

• Experience with reinforcement learning in applied areas beyond simple simulators
• Extensive experience solving analytical problems using quantitative approaches
• Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• Strong interest in theoretical and empirical research and for answering hard questions with research
• Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as ICML, NeurIPS, or ICLR
• Demonstrated software engineer 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
• Intent to return to degree-program after the completion of the internship/co-op

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.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$7,650/month to $10,250/month + benefits