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
Applied Research & Model Development Machine Learning Engineer
Builds
AI products and services for pathology labs, clinical trials, and translational research
Domain
Biomedical AI / Histopathology
Deliverable
production ML models
Required skills
Python, ML frameworks, data pipeline development, experimental design, independent project delivery, cross-functional collaboration
Preferred skills
Computer vision, biomedical AI, scientific strategy, technical leadership, mentoring
Technologies
ML frameworks, deployment pipelines
Responsibilities
Design, develop, and deploy machine learning models; Collaborate cross-functionally to translate biological and clinical requirements into scalable ML solutions; Contribute to experimental design and analysis; Improve ML pipelines and infrastructure; Publish and present scientific work
Seniority
Mid-to-Senior IC (MLE II/III)
