Applied AI Research Scientist - Reinforcement Learning - Meta

Summary:

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, 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.

Required Skills:

Applied AI Research Scientist - Reinforcement Learning Responsibilities:

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

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

3. Apply state of the art reinforcement learning technologies to achieve production impact and improve Meta users’ experience.

Minimum Qualifications:

Minimum Qualifications:

4. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

5. Has obtained a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, or relevant technical field.

6. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.

7. Experience with Python, C++, Java or other related language.

8. Experience with deep learning frameworks such as Pytorch or Tensorflow.

Preferred Qualifications:

Preferred Qualifications:

9. Experience with reinforcement learning in applied areas beyond simple simulators.

10. Demonstrated experience in solving analytical problems using quantitative approaches.

11. Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.

12. Experience building systems based on machine learning, reinforcement learning and/or deep learning methods.

13. 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.

14. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).

15. Experience working and communicating cross functionally in a team environment.

Public Compensation:

$147,000/year to $208,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

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.