Audio Signal Processing Engineer

Our team of part-time volunteers works with machine learning, deep learning, and signal analysis for audio analysis in a medical setting. We welcome individuals with professional experience in these domains to apply. The candidate will be immersed in a collaborative environment alongside AI engineers and mentors.

Responsibilities

  • Contribute to design and optimize the cough sound audio processing.
  • Audio restoration of poor-quality audio.
  • Engage engineers to troubleshoot issues with deliverables.
  • Produce clean code and APIs to facilitate understanding within the team.
  • Collaborate with product management and leadership to deliver on expectations.
  • Distill results into academic formats, e.g. research paper.

    • Desired Skills

  • 1-2 years of experience working in audio processing.
  • Experience with ML frameworks in modeling with audio data and audio feature extraction.
  • Bachelor or above degree in computer science, computer engineering, or electrical engineering.
  • Familiar with audio libraries and digital audio formats.
  • Familiarity with audio production workflows.
  • Hands-on AI programming experience working on (ideally) enterprise products.
  • Passionate and committed to the Virufy mission, communicate effectively, and share learnings with the team.

    • Hours

  • 10-15 hours per week for a 6 month period.

    • Questions?

  • Reach out to frederick.cosper@virufy.org and we will get back to you promptly.
    • Apply to this Role