Machine Learning Engineer II/III (Applied Research & Model Development)
Core
Design, develop, and deploy machine learning models for research and product development projects in biomedical AI to improve patient outcomes.
Role type
Machine Learning Engineer (Applied Research & Model Development)
Builds
AI products and services for biotech, pathologists, clinicians, and healthcare organizations
Domain
Biomedical AI / Healthcare
Deliverable
production ML models
Required skills
Python, ML frameworks, data pipeline development, experimental design, software engineering best practices, deployment pipelines
Preferred skills
Computer vision, biomedical AI, scientific strategy, mentoring, technical direction
Technologies
Python, ML frameworks
Responsibilities
Design and deploy ML models; collaborate cross-functionally to translate clinical requirements into scalable solutions; improve ML pipelines and infrastructure; publish scientific work (abstracts, manuscripts, conference contributions)
Seniority
Mid-level (II) to Senior (III), hands-on IC with increasing leadership scope