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Applied Ai Research Scientist
4 months ago
**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
**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.
**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.
