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.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 seeking Research Interns to help us with a vision to bring Reinforcement Learning to large scale real-world systems. Our interns have an opportunity to 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 apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.
- Perform research to advance the science and technology of machine learning.
- Devise better data-driven models of human behavior.
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
Minimum Qualifications:
- Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, or relevant technical field.
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
- Experience with Python, C++, Java or other related language
- Experience with deep learning frameworks such as Pytorch or Tensorflow
Preferred Qualifications:
- Intent to return to the degree program after the completion of the internship/co-op.
- Experience with Reinforcement Learning in applied areas beyond simple simulators.
- Demonstrated experience in solving analytical problems using quantitative approaches.
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
- 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 first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar.
- 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.
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 accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.