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🚀 Internship

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

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Meta

19d ago

🚀 Off-cycle Internship

Los Angeles

⌛ Closed

AI generated summary

  • The candidate must hold or be working towards a PhD in NLP or related fields, have experience in Python and other major languages, obtain work authorization, and possess expertise in deep learning frameworks, data analysis, research publications, and cross-functional teamwork. Knowledge in specific areas like conversational AI, vision-language understanding, and responsible AI is also preferred.
  • The Research Scientist Intern will develop cutting-edge multimodal generative AI algorithms, analyze efficiency and scalability, and collaborate with a team for potential deployment at scale.
Applications are closed

Off-cycle Internship

Software EngineeringLos Angeles

Description

  • The Reality Labs (RL) Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. The Surreal Contextual AI team is looking for the next generation of scientists and engineers to tackle the most ambitious problems in machine perception. In this internship, you will not only work on the forefront research topics present in academia and industry, but beyond you will work with a team invested in building the complete stack from sensor and optics design to fundamental machine learning and computer vision algorithms to the applications driving LiveMaps and the Metaverse. Our working style is fast-paced, focused on rapid progress and audacious exploration of novel solutions for fundamental problems. Reality labs internships are twelve (12) to twenty four (24) weeks long and you have the option to start at various dates throughout the year.

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.

Education requirements

Currently Studying
PhD

Area of Responsibilities

Software Engineering

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.

Details

Work type

Full time

Work mode

office

Location

Los Angeles