Research Scientist Intern, Reinforcement Learning and Large Language Models, PhD

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

Responsibilities:

• Develop novel state-of-the-art machine learning algorithms leveraging deep learning techniques.
• Analyze and improve efficiency, scalability, and stability of deployed algorithms.
• Conduct research to advance the science and technology of Machine Learning and AI.
• 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, AI, Computer Science, or a related field.
• Experience with programming languages such as Python, C++, C, or Java.
• Familiarity with deep learning frameworks like Pytorch or Tensorflow.

Preferred Qualifications:

• Intent to return to the degree program after the internship.
• Proven track record in achieving significant results in AI research.
• Experience in solving analytical problems using quantitative approaches.
• Demonstrated software engineering experience and teamwork skills.