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Applied Scientist, Audio Algorithms

United States, Redmond 181000.00 USD / Year · Job Posted January 23, 2026
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Job Description

Category-defining products such as the Oculus headsets and the Ray Ban Meta smart glasses are made possible in part by some of the world's most advanced audio processing. Meta is seeking Audio Applied Scientists to continue to push the envelope and help build technologies that will connect the next billion people.

Job Responsibility

  • Research, design, and develop advanced speech and audio signal processing algorithms
  • Build specialized machine learning (ML) models for resource-constrained platforms (e.g., mobile/wearables)
  • Implement and optimize audio processing algorithms for embedded platforms
  • Analyze audio recordings and simulator outputs to uncover insights into audio processing system performance and function
  • Develop new perceptual audio quality metrics applicable to new product experiences
  • Contribute to roadmap planning for the next generation of platforms
  • Collaborate with DSP engineers, audio systems engineers, product managers, user experience researchers, hearing scientists, psychoacoustics researchers, and other disciplines to create new technologies and integrate them into products

Requirements

  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Currently has, or is in the process of obtaining a PhD in Computer Science, Computer Engineering, Electrical Engineering, relevant technical field, or equivalent practical experience
  • Experience with C or C++ and with scientific programming languages such as MATLAB, python or similar
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Nice to have

  • Proven track record of innovation as demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions
  • Experience working and communicating cross functionally in a team environment
  • Academic or industry research and/or development experience in at least one of the following areas: small-footprint ML, acoustic echo cancellation, acoustic feedback cancellation, beamforming, microphone array processing, single- or multi-channel noise reduction, wide dynamic range compression (WDRC), binaural processing, spatialization, source localization, hearing aid processing, cochlear implant processing, auditory scene analysis, low-bitrate speech codecs, lossy audio compression, perceptual audio quality metrics

What we offer

  • bonus
  • equity
  • benefits
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