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Bellevue, Washington, United States • Hybrid
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Lead the research and engineering of a clinical-grade ASR foundation for healthcare conversational AI. This includes designing data-driven models, architecting large-scale medical speech datasets, and optimizing systems for latency and accuracy in production.
Requires a PhD with 7+ years or a Master's with 10+ years of experience in ASR research and engineering. Candidates must be proficient in Python, C++, and PyTorch, with a proven track record of deploying speech models in production environments.
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.
At the center of that platform is voice. 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.
You'll define the ASR foundation for healthcare's most advanced conversational AI. From architecture selection to production deployment, you'll shape a speech recognition system built from the ground up for clinical accuracy — one that sets the standard for what's possible when safety and performance aren't trade-offs.
You'll solve speech recognition problems that don't have off-the-shelf answers. Medical terminology, diverse patient populations, real-world acoustic conditions — you'll design and validate models that perform where general-purpose ASR falls short, pushing the frontier of what conversational AI can reliably understand.
You'll build the data infrastructure that makes breakthrough models possible. You'll architect the pipelines and curation processes for large-scale medical speech datasets, creating the training foundation that gives Hippocratic AI a durable, compounding advantage in clinical speech recognition.
You'll bring research into the real world at meaningful scale. You'll close the gap between state-of-the-art methods and production systems — optimizing for latency, accuracy, and resource efficiency so that patients and clinicians experience the results of your work in every conversation.
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.
Design, develop, and iterate on data-driven ASR models for streaming and non-streaming conversational speech applications
Research and implement state-of-the-art end-to-end speech recognition architectures tailored to the medical domain
Train, evaluate, and optimize ASR models across accuracy, latency, and resource utilization dimensions
Preprocess and curate large-scale speech datasets to support robust model training
Collaborate closely with LLM, product, and clinical teams to integrate speech technologies into the broader Hippocratic AI platform
Contribute to the team's research culture through experimentation, documentation, and knowledge sharing
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
Experience with CUDA for GPU-accelerated training and inference
Familiarity with leveraging LLMs to enhance speech recognition quality
Experience with neural and end-to-end endpointer modeling
Publications in tier-1 venues in speech recognition or NLP (Interspeech, ICASSP, ACL, etc.)
The mission is real. 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.
The team is exceptional. You'll work alongside researchers and engineers from Google, Meta, Microsoft, NVIDIA, and Stanford, as well as clinicians and health system leaders who keep the work grounded in what actually matters to patients.
The technical problems are genuinely hard. This isn't fine-tuning an existing API. It's building a purpose-built, safety-critical speech stack for one of the most complex and consequential domains in the world.
The strategic moment is now. With $404M raised, a $3.5B valuation, and real deployments across leading health systems, Hippocratic AI has both the resources and the momentum to define this category — and the equity upside to match.
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If you've spent your career pushing what speech recognition can do and you want that work to matter in ways that reach millions of patients — we'd like to talk. Apply with your resume and, if you have relevant publications or projects you're proud of, share those too. We review every application and move quickly with candidates who are a strong fit.
Hippocratic AI - A safety focused large language model (LLM) for the healthcare industry
Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. The company was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Hippocratic AI has received a total of $278 million in funding and is backed by leading investors, including Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems. For more information on Hippocratic AI, www.HippocraticAI.com. Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information. If anything appears suspicious, stop engaging immediately and report the incident.
Offices: 435 Portage Ave, Palo Alto, California 94306, US
Based on 440 listings with disclosed salaries, most engineering jobs in Bellevue, WA pay between $104k–$242k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 506 open engineering positions in Bellevue, WA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Amazon, TerraPower, T-Mobile, Snowflake, Salesforce, among others. Browse the listings above to see every active employer.
Yes — 143 of the 506 open engineering positions offer remote or hybrid work (25 remote, 118 hybrid).
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