Machine Learning Engineer II/III (Applied Research & Model Development)
Core
Design, develop, and deploy machine learning models for research and product development projects to improve diagnosis accuracy and treatment efficacy for diseases like cancer.
Role type
Machine Learning Engineer (Applied Research & Model Development)
Builds
AI products and services for pathology labs, clinical trials, and translational research
Domain
Biomedical AI / Pathology
Deliverable
production ML models
Required skills
Machine learning model design and development, cross-functional collaboration, experimental design and analysis, ML pipeline and infrastructure improvement, scientific publishing and presentation
Preferred skills
None stated
Technologies
None stated
Responsibilities
Design, develop, and deploy machine learning models; Collaborate with scientists and product teams to translate clinical requirements into ML solutions; Contribute to experimental design, ideation, documentation, and reporting; Participate in knowledge sharing and team initiatives; Improve ML pipelines and infrastructure; Publish and present scientific work
Seniority
Individual Contributor (Levels I, II, III with increasing scope from implementation to leading initiatives)
