Applied AI Research Scientist - Reinforcement Learning

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 Scientists to help us with a vision to bring reinforcement learning to large scale real-world systems. Our research scientists 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.

Applied AI Research Scientist - Reinforcement Learning Responsibilities

• Perform research to advance the science and technology of machine learning and reinforcement learning. Devise better data-driven models of human behavior.


• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results


• Apply state of the art reinforcement learning technologies to achieve production impact and improve Meta users' experience

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.


• Has obtained 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

• 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.

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