Audio Research Scientist Intern

Meta Meta · Big Tech · Redmond, WA

Research Scientist Intern role focused on audio and hearing science, involving the design and analysis of audiologic experiments, development of novel algorithms for speech enhancement and hearing assistance, and collaboration with researchers. Requires a PhD in a related field and experience in experimental design, programming, and signal processing.

What you'd actually do

  1. Design, conduct, and analyze audiologic experiments and measurements, including pure-tone and speech audiometry, otoacoustic emissions, auditory evoked potentials, real-ear measurements, and psychoacoustic testing.
  2. Conduct basic and applied research in hearing science and auditory perception.
  3. Focus on enhancing speech intelligibility in noisy environments and developing hearing assistance solutions.
  4. Communication of research agenda, progress, and full analyses of results.
  5. Design and implementation of novel algorithms to solve audio research problems.

Skills

Required

  • PhD in Hearing Science, Audiology, Neuroscience, Signal Processing or similar or a related field
  • 1+ years of experience designing, conducting, and analyzing audiologic experiments and measurements
  • 1+ years of experience in MATLAB, Python, C/C++, or equivalent programming language
  • 1+ years of experience in binaural rendering, spatial hearing, or signal processing
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Experience in conducting audiologic experiments and measurements (e.g., pure-tone and speech audiometry, otoacoustic emissions (OAE), auditory evoked potentials, real-ear measurements, and psychoacoustic testing)
  • Experience in real-time audio and audio algorithms development
  • Intent to return to a degree-program after the completion of the internship/co-op
  • Experience working and communicating cross functionally in a team environment

Nice to have

  • speech enhancement
  • machine learning with signal processing

What the JD emphasized

  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at relevant journals or conferences

Other signals

  • novel algorithms
  • speech intelligibility
  • hearing assistance solutions
  • auditory perception