ML Research Engineer
Core
Design, develop, and deploy scalable ML software systems and infrastructure to address large-scale challenges in healthcare, translating LLM research into production.
Role type
Senior ML Engineer (Infrastructure & Production)
Builds
ML-native enterprise platforms for healthcare systems
Domain
Healthcare / Machine Learning / Large Language Models
Deliverable
production ML models | infrastructure
Required skills
Python, Golang, Rust, Java, backend programming, cloud platform development, ML/LLM frameworks, end-to-end ML system development, data-centric software development, observability, CI/CD, testing, experiment management
Preferred skills
LLM development experience, 0-to-1 product development
Technologies
Python, Golang, Rust, Java, cloud environments
Responsibilities
Architect efficient, secure, and performant ML pipelines and infrastructure; Design and maintain scalable backend infrastructure; Translate start-of-the-art LLM research into production; Work with complex, large-scale clinical data; Develop methods to ensure high-quality results and detect model drift; Collaborate with product and research teams to improve products; Build scalable infrastructure for model development and deployment pipelines; Ensure robust monitoring, logging, and error handling for deployed systems
Seniority
Mid-to-Senior, hands-on IC