Staff Machine Learning Engineer, Gen AI | Voice & Speech
Core
Design and build scalable ML infrastructure, tools, and GenAI models (LLMs, RAG, audio/voice) to enable product teams to deliver AI-driven features to healthcare practices.
Role type
Staff Machine Learning Engineer (Gen AI, Voice & Speech)
Builds
Internal ML platforms, external AI products (Call Intelligence, AI Receptionist), and scalable data integration services for 30,000+ healthcare practices.
Domain
Healthcare technology, Generative AI, Voice & Speech processing
Deliverable
production ML models | product features | infrastructure
Required skills
MLOps, distributed systems architecture, LLMs, RAG, Prompt Engineering, Fine Tuning, high-scale audio/voice models, LLM evaluations, relational data stores (PostgreSQL, Spanner), NoSQL (Bigtable, Redis), cloud-native infrastructure (GCP/AWS, Kubernetes), infrastructure-as-code
Preferred skills
Customer-facing GenAI at scale, low-latency AI Agents, compliance-heavy environments (healthcare/fintech), open source contributions, conference speaking
Technologies
LLMs, RAG, Kubernetes, GCP, AWS, PostgreSQL, Vitess, Spanner, Bigtable, Redis
Responsibilities
Design and develop ML infrastructure and tools; consult teams on ML patterns and tradeoffs; mentor Staff and Senior Engineers; shape company-wide engineering standards; lead cross-team technical initiatives.
Seniority
Staff, strategic leadership with hands-on IC contribution
