Research Scientist Intern, AI Applied Natural Language Processing (PhD)

Meta is seeking Research Interns to join our ML for Code teams in Paris. These teams are part of the Facebook AI Research (FAIR) organization within Meta, working to advance the state of the art in natural language understanding and generation, and deploys these systems at scale to break down language barriers, enable people to understand and communicate with anyone, and to provide a safe experience-no matter what language they speak.The opportunities and challenges of this work are immense. Billions of people use our services to connect and communicate in their preferred language, but many of these languages lack traditional NLP resources and our systems need to be robust to the informal tone, slang and typos often found in daily communication.Our research spans multiple areas across NLP and machine learning, including deep learning/neural networks, machine translation, code generation, automatic bug finding, program synthesis, language modelling, pretraining, static analysis.As a Research Intern, you will help us apply cutting-edge machine learning and NLP algorithms to a wide range of media understanding challenges at Meta.To learn more about our research, visit https://research.facebook.com.

Research Scientist Intern, AI Applied Natural Language Processing (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.
• 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.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

• 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.
• Intent to return to degree-program after the completion of the internship/co-op.

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