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Hippocratic AI Verified 4h ago

Senior Staff Research Scientist, Speech Technologies

Bellevue, Washington, United States Remote

Salary not listed
PaySalary not listed
TypeFull-time
Work settingRemote
Verified listing

JobFig found this opening at its original source and checks that it remains available.

About the role

Healthcare has a access problem — not enough clinicians, too many patients, and critical gaps that technology hasn't meaningfully closed. Hippocratic AI is changing that. Our safety-focused, healthcare-only LLM platform enables autonomous, clinical-grade conversations with patients at a scale no human workforce could achieve. With over $404M in funding, a $3.5B valuation, and partnerships with leading health systems, we're not iterating on existing tools — we're building a new category. As a Senior Staff Research Scientist in Speech Technologies, you'll lead the research and engineering that makes our AI not just intelligent, but genuinely conversational — accurate, fast, and trustworthy in the highest-stakes environments imaginable.

What you'll bring

  • We believe the best ideas happen together.
  • We're on the hunt for a great space in the Bellevue area — and when we find it, this role will be in office five days a week.
  • In the meantime, you'll work fully remote with quarterly trips to our Menlo Park, CA headquarters to connect and collaborate with the team.
  • PhD with 7+ years of hands-on ASR research and engineering experience, or a Master's degree with 10+ years of industry experience in speech recognition
  • Deep experience designing and developing algorithms for accurate, efficient speech recognition in both streaming and non-streaming contexts
  • Proven track record training and optimizing ASR models for production — balancing accuracy, latency, and compute constraints
  • Experience preprocessing and curating large speech datasets for model training
  • Strong Python and C++ programming skills
  • Comfortable working in Linux/Unix command-line environments
  • Clear communicator — you can translate complex technical work for cross-functional partners
  • Hands-on experience building ASR systems from 0 to 1, including data pipelines, model architecture selection, and evaluation frameworks
  • Practical experience with ESPnet, Kaldi, and PyTorch

Benefits

Every improvement you make to speech recognition translates directly into better patient experiences — more accurate conversations, fewer errors, broader access to care for people who currently have none.