Research Scientist Intern, Reinforcement Learning (PhD)

This internship is based in Paris, France.

Responsibilities:

• Develop novel state-of-the-art reinforcement learning algorithms and corresponding systems, leveraging various deep learning techniques.
• Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
• Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
• Contribute to research that can be applied to Meta product development.

Minimum Qualifications:

• Currently has or is in the process of obtaining a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Reinforcement Learning, Mathematics, or relevant technical field.
• Solid background on the foundations of reinforcement learning.
• Ability to implement and run reinforcement learning algorithms in complex environments.
• Experience collaborating within a team to solve complex problems.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• Experience with Python, C++, C, Java or other related languages.
• Experience with deep learning frameworks such as Pytorch or JAX.
• Experience building systems based on machine learning and/or deep learning methods.
• Research experience with algorithms for sequential decision-making, e.g., planning, reinforcement learning, or similar.