Staff/Senior Machine Learning Engineer, Clinical AI
Core
Build and operate production AI pipelines and orchestration systems for clinical AI applications, leveraging LLMs and NLP to optimize workflows and advance medical research.
Role type
Staff/Senior Machine Learning Engineer (Clinical AI)
Builds
Production AI pipelines, batch orchestration workflows, observability infrastructure, and platform tooling/SDKs for ML scientists.
Domain
Healthcare / Clinical AI / Natural Language Processing
Deliverable
production ML models | infrastructure
Required skills
Python, microservices architecture, data orchestration (Airflow), cloud-native services (GCP), monitoring and observability, ML frameworks (LangGraph, PyTorch, spaCy), system design documentation.
Preferred skills
production system operations (on-call, incident response), ML evaluation and quality measurement systems, production LLM application development (prompts, agents, RAG), internal platform/SDK development, clinical/biomedical data experience (EHR, genomics, pathology).
Technologies
Airflow, GCP, LangGraph, PyTorch, spaCy
Responsibilities
Build and operate production AI pipelines with focus on reliability, cost, and latency; Design and maintain Airflow-based orchestration for batch clinical workflows; Build observability infrastructure for regression detection; Build and maintain eval infrastructure for continuous model quality measurement; Ship platform tooling and SDKs to accelerate ML scientists; Partner with scientists to debug model outputs; Participate in on-call rotation; Collaborate with infrastructure teams on GCP services; Author and review design docs; Conduct code and design reviews.
Seniority
Senior, hands-on IC with architectural responsibilities