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Research Scientist Intern, Language Generative AI (PhD)

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Meta

14d ago

  • Internship
    Full-time
    Off-cycle Internship
  • Research & Development
    Software Engineering
  • Bellevue
    Seattle
    New York City
    Menlo Park

AI generated summary

  • You need a Ph.D. in a relevant field, experience with Python and other languages, a track record of significant results in AI research, and experience with machine learning and deep learning methods.
  • You will develop cutting-edge generative AI algorithms, analyze and enhance their efficiency, collaborate with researchers, and contribute to advancing intelligent machines at Meta.

Requirements

  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field.
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
  • Experience with Python, C++, C, Java or other related languages.
  • Experience building systems based on machine learning and/or deep learning methods.
  • Preferred Qualifications:
  • Intent to return to the degree program after the completion of the internship/co-op.
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV, or similar.
  • Experience working and communicating cross functionally in a team environment.
  • Experience in advancing AI techniques, including core contributions to open source libraries and frameworks in computer vision.
  • Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
  • Experience solving analytical problems using quantitative approaches.
  • Experience setting up ML experiments and analyzing their results.
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
  • Experience in utilizing theoretical and empirical research to solve problems.
  • Experience with deep learning frameworks.

Responsibilities

  • Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques.
  • Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
  • Perform research to advance the science and technology of intelligent machines.
  • Perform research that enables learning the semantics of and training generative models of data (images, video, 3D, text, audio, and other modalities).
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
  • Disseminate research results.
  • When applicable, contribute to research that can be applied to Meta product development.

FAQs

What are the primary focus areas for Research Scientist Interns working on Language Generative AI at Meta?

The primary focus areas for Research Scientist Interns working on Language Generative AI at Meta include generative modeling, deep learning, computer vision, natural language processing, machine learning, and reinforcement learning.

What is the goal of the Generative AI efforts at Meta?

The goal of the Generative AI efforts at Meta is to make fundamental advances in technologies that help interact with and understand our world through artificial intelligence.

What opportunities do Research Interns have at Meta?

Research Interns at Meta have the opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale in areas such as generative modeling, deep learning, computer vision, natural language processing, machine learning, and reinforcement learning.

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.