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Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD)

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Meta

Jan 5

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Research & Development
    Data
  • Cambridge

Requirements

  • Minimum Qualifications:
  • Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Artificial Intelligence, Signal Processing, Machine learning, Computer vision, Electrical Engineering, Applied Math, Acoustics Engineering or a related STEM field.
  • Experience with Python, Matlab, or similar.
  • Experience with machine learning software platforms such as PyTorch, TensorFlow, etc.
  • Experience building novel computational models in audio or audio-visual or speech application domains using machine learning or signal processing.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Preferred Qualifications:
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github).
  • Strong background in statistical modeling techniques and/or signal processing.
  • Proven track record of achieving results as demonstrated in accepted papers at top computer vision and machine learning related conferences such as CVPR, ECCV, NIPS, ICASSP, InterSpeech etc.
  • Experience working and communicating cross functionally in a team environment.
  • Intent to return to a degree-program after the completion of the internship/co-op.

Responsibilities

  • Research, model, design, develop and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision.
  • Collaborate with researchers and engineers across diverse disciplines.
  • Design and implementation of novel algorithms to solve audio research problems.
  • Experimental design, implementation, and execution to evaluate new audio technologies.
  • Collaboration with other researchers across audio and acoustic engineering disciplines.
  • Communication of research agenda, progress, and results.

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.