Research Scientist Intern, Reinforcement Learning (PhD)

This internship role is based in Paris, France.

Responsibilities:

• Develop novel state-of-the-art reinforcement learning algorithms and corresponding systems.
• Analyze and improve efficiency, scalability, and stability of deployed algorithms.
• Perform research to advance the science and technology of Machine Learning and Artificial Intelligence.
• Collaborate with researchers and communicate research plans, progress, and results.
• Contribute to research applicable to Meta product development.

Minimum Qualifications:

• Currently pursuing a PhD in Machine Learning, Artificial Intelligence, Computer Science, or a relevant field.
• Solid background in reinforcement learning.
• Ability to implement and run reinforcement learning algorithms in complex environments.
• Experience collaborating within a team to solve complex problems.
• Proficiency in Python, C++, C, Java or related languages.
• Experience with deep learning frameworks such as Pytorch or JAX.

Preferred Qualifications:

• Intent to return to a degree program after the internship.
• Proven track record of significant results in research.
• Experience in deep reinforcement learning.