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Research Scientist Intern, Large Language Models (PhD)

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Meta

Feb 12

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Software Engineering
  • London

Requirements

  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, 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 with deep learning frameworks such as Pytorch or Tensorflow.
  • Experience building systems based on machine learning, deep learning methods, or natural language processing.
  • Proven track record of achieving significant results as demonstrated by grants, fellowships,
  • Preferred Qualifications:
  • Intent to return to 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, ICLR, ICML, ACL, NAACL, EMNLP, or similar.
  • Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval.
  • Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
  • Experience with training deep neural networks for key NLP tasks.
  • Experience with interpreting deep neural networks mechanistically, correlating their observable behavior with properties of model parameters and activations.
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
  • Experience working and communicating cross functionally in a team environment.

Responsibilities

  • Perform research to advance the science and technology of intelligent machines.
  • Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources.
  • Analyze and improve efficiency, scalability, and stability of various deployed systems.
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
  • Publish research results and contribute to research that can be applied to Meta product development.

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.