Research Scientist Intern, Reinforcement Learning (PhD)

This internship is based in Paris, France and lasts between 12 to 24 weeks.

Responsibilities:

• Develop novel reinforcement learning algorithms leveraging deep learning techniques.
• Analyze and improve the efficiency, scalability, and stability of deployed algorithms.
• Conduct research to advance machine learning and AI technologies.
• Collaborate with researchers and communicate research plans and results.
• Publish research results applicable to Meta product development.

Minimum Qualifications:

• Currently pursuing or obtained a PhD in Machine Learning, AI, Computer Science, or a related field.
• Solid foundation in reinforcement learning.
• Experience with Python, C++, C, Java, or related languages.
• Familiarity with deep learning frameworks such as Pytorch or JAX.
• Ability to implement reinforcement learning algorithms in complex environments.

Preferred Qualifications:

• Intent to return to a degree program after the internship.
• Proven track record in achieving significant results in research.
• Experience in ML/AI research, particularly in deep reinforcement learning.