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Research Scientist Intern, Generative AI, NLP/ML (PhD)

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Meta

Feb 12

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Software Engineering
  • Los Angeles

Requirements

  • Currently has, or is in the process of obtaining a PhD degree in NLP or related fields (e.g., CV, DB, ML).
  • Experience in Python, with other major languages (C++, Java).
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Preferred Qualifications:
  • Prior experience with deep learning frameworks, solving analytical problems using quantitative approaches.
  • Comfort analyzing high-volume natural language and multimodal 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 top AI conferences such as ACL, NAACL, EMNLP, ICLR, NeurIPS, CVPR or similar experience communicating complex research in a clear, precise, and actionable manner.
  • Demonstrated interest in theoretical and empirical research and for answering hard questions with research.
  • Experience working and communicating cross functionally in a team environment.
  • Ability to stay in touch with the literature of a particular domain and has the ability to reproduce results if needed.
  • Prior experience in NLU, language representation learning, conversational AI, vision-language understanding, multimodal modeling, automatic image captioning, question answering, summarization, reasoning, sentiment analysis, representation learning, responsible AI, integrity or related domains.
  • Intent to return to a degree-program after the completion of the internship/co-op.

Responsibilities

  • Develop novel state-of-the-art multimodal generative AI algorithms and corresponding systems, leveraging various deep learning techniques.
  • Contribute to research that can eventually be applied to Meta products and services and run on billions of media items every day.
  • Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
  • Collaborate with team members, all the way from prototyping in a notebook to potentially deploying at scale.

Meta

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.