Logo of Huzzle

Home

Matches

Explore

Manage

Research Scientist Intern, Speech & Audio Technologies (PhD)

image

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 PhD degree.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Experience in C/C++ and Python.
  • Experience in deep learning frameworks such as PyTorch, Tensorflow.
  • Research and/or work experience in machine learning, deep learning, and/or speech technology.
  • Preferred Qualifications:
  • Experience 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 Interspeech, ICASSP or similar.
  • A strong interest in theoretical and empirical research and for answering hard questions with research.
  • Interpersonal experience: cross-group and cross-culture collaboration.
  • Ability to stay in touch with the literature of a particular domain and has the ability to reproduce results if needed.
  • Experienced with training deep neural networks for key Speech tasks such as speech recognition, speech synthesis, speech translation, speaker diarization, sentiment analysis, acoustic event recognition, scene understanding, wake word, etc.
  • Experience working with other modalities such as vision and text understanding is a plus.
  • Intent to return to the degree-program after the completion of the internship/co-op.

Responsibilities

  • Perform research to advance the science and technology of intelligent machines.
  • Develop novel and accurate speech algorithms and systems, leveraging deep learning and machine learning on big data resources.
  • Contribute research that can be applied to Meta product development.
  • Analyze and improve efficiency, scalability, and stability of various deployed systems.
  • Collaborate with team members from prototyping to production.

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.