Research Intern, AI – Codegen (PhD)

Meta is seeking Research Interns to join our ML for code team in Paris, France. This team is part of the Facebook AI Research (FAIR) organization within Meta, working to improve models that can generate, debug, or improve programs.The opportunities and challenges of this work are immense. Machine learning for programming languages is a fast-advancing field and our models can impact tens of thousands of engineers. As a Research Intern, you will help us apply large language models (LLMs) and other cutting-edge machine learning methods to solve these challenges at Facebook. This is a 2023 internship opportunity with start dates from May to September. To learn more about our research, visit https://research.facebook.com.

Research Intern, AI – Codegen (PhD) Responsibilities:

• Perform research to advance the science and technology of intelligent machines.
• Develop novel and accurate code generation algorithms and systems, leveraging deep learning and machine learning on big data resources.
• Contribute research that can be applied to Facebook product development.
• Analyze and improve efficiency, scalability, and stability of various deployed systems.

Minimum Qualifications:

• Currently has, or is in the process of obtaining a Ph.D. degree.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
• Experience in PyTorch, Python or C/C++.
• Research and/or work experience in machine learning, deep learning, and/or Natural Language Processing and/or code generation and/or compilers.

Preferred Qualifications:

• Intent to return to degree-program after the completion of the internship/co-op.
• Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ACL, EMNLP, NAACL, AAAI, ICML, NeurIPS, ICLR or similar.
• Ability to communicate complex research in a clear, precise, and actionable manner.
• A strong interest in theoretical and empirical research and for answering hard questions with research.
• Interpersonal experience: cross-group and cross-culture collaboration.
• Experienced with the development of enterprise-level AI, machine learning and deep learning systems, involving big data management and GPU compute.
• Experienced with training deep neural networks for any code generation task.

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