Machine Learning Engineer
Core
Design, develop, and operate production-grade ML systems for real clinical workflows, focusing on verifiable reinforcement learning and fine-tuning foundation models for clinical reasoning and medical question answering.
Role type
Senior/Staff Machine Learning Engineer (Clinical AI)
Builds
Production ML systems for clinical decision support and patient-facing applications
Domain
Healthcare / Clinical AI / Large Language Models
Deliverable
production ML models
Required skills
Machine learning, software engineering, system architecture, model training and fine-tuning, evaluation framework design, tradeoff analysis (accuracy/latency/cost/safety), independent operation in ambiguous environments, product judgment
Preferred skills
LLM deployment, distributed systems, large-scale data pipelines, regulated dataset experience
Technologies
PyTorch
Responsibilities
Own end-to-end ML systems from architecture to production deployment; Train and fine-tune LLMs for clinical reasoning and evidence-grounded generation; Develop evaluation frameworks for model safety and clinical validity; Integrate ML systems into product workflows; Monitor system performance and iterate based on real-world usage; Define correctness criteria in ambiguous clinical workflows
Seniority
Senior/Staff, hands-on IC with system ownership