Research Scientist in Speech Technologies (AI)

Location: Menlo Park, California office, five days a week; potential future flexibility in the Bellevue area for exceptional candidates.

Company

Hippocratic AI is building a healthcare-only, safety-focused LLM and conversational AI platform designed to improve patient outcomes.

What you will do

• Design and develop data-driven ASR models for streaming and non-streaming conversational speech applications.
• Research and implement state-of-the-art speech recognition architectures tailored to medical terminology, diverse patient populations, and real-world acoustic conditions.
• Train, evaluate, and optimize ASR models for accuracy, latency, and resource utilization.
• Build data infrastructure and curation pipelines for large-scale medical speech datasets.
• Collaborate with LLM, product, software engineering, and clinical teams to integrate speech technology into the platform.
• Lead researchers and engineers while contributing experiments, documentation, publications, and knowledge sharing.

Requirements

• PhD with 3+ years of experience in speech recognition or a related field, or a master's degree with 5+ years of hands-on ASR experience.
• Experience designing algorithms and end-to-end systems for accurate and efficient streaming and non-streaming speech recognition.
• Experience training, evaluating, and optimizing ASR models and curating large speech datasets.
• Strong programming skills in Python and C++, with comfort in Linux/Unix command-line environments.
• Strong communication and collaboration skills.

Nice to have

• Experience building ASR solutions from zero to one, including data, model, and evaluation pipelines.
• Hands-on experience with ESPnet, Kaldi, PyTorch, CUDA, LLM-enhanced speech recognition, or neural/end-to-end endpoint modeling.
• Tier-1 publications in speech recognition or NLP.

Culture & Benefits

• Work in a research-driven environment focused on rigorous experimentation and rapid iteration.
• Collaborate with researchers, engineers, clinicians, and healthcare leaders from leading technology and academic institutions.
• Receive competitive compensation based on experience, expertise, and responsibility level.
• Benefits include equity and health insurance.
• Join a healthcare and AI company backed by leading investors, with $404M in total funding.