About the Role

This is a PhD-level research scientist internship focused on advancing AI through reinforcement learning and large language models. Interns will develop novel machine learning algorithms, conduct state-of-the-art research, and collaborate with teams to apply findings to product development. The internship lasts 12-24 weeks with flexible start dates.

Key Responsibilities

• Develop novel state-of-the-art machine learning algorithms and systems using deep learning techniques
• Analyze and improve efficiency, scalability, and stability of deployed algorithms
• Perform state-of-the-art research to advance Machine Learning and Artificial Intelligence
• Collaborate with researchers and cross-functional partners, communicating plans and results
• Contribute to research applicable to Meta product development

Required Skills & Qualifications

Must Have:

• Currently has or is in the process of obtaining a PhD in Machine Learning, AI, Computer Science, Reinforcement Learning, Mathematics, or related field
• Must obtain work authorization in country of employment at hire and maintain it during employment
• Experience with Python, C++, C, Java, or other related languages
• Experience with deep learning frameworks such as Pytorch or Tensorflow

Nice to Have:

• Intent to return to the degree program after the internship
• Proven track record of significant results via grants, fellowships, patents, or first-authored publications at leading conferences
• Demonstrated experience and motivation in solving analytical problems using quantitative approaches
• ML/AI research or work experience in deep learning, reinforcement learning, generative models, LLMs, planning
• Demonstrated software engineer experience via internship, work, coding competitions, or open source contributions
• Experience working and communicating cross-functionally in a team environment