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Senior Principal Machine Learning Engineer

Jobgether • United States
Remote
This Job is No Longer Active This position is no longer accepting applications

Lead the design and delivery of advanced machine learning and AI systems transforming complex healthcare data into measurable business and operational outcomes. Define AI/ML strategy, build scalable solutions, and establish engineering practices. Translate ambiguous challenges into reliable, production-ready systems.

Key Highlights
Lead the design and delivery of advanced machine learning and AI systems
Define AI/ML strategy, build scalable solutions, and establish engineering practices
Translate ambiguous challenges into reliable, production-ready systems
Key Responsibilities
Provide technical leadership across the development of AI-powered products
Define end-to-end system architecture for AI and LLM-powered solutions
Design, build, and maintain scalable machine learning systems
Develop advanced evaluation frameworks
Create data flywheel strategies
Explore and develop patient-level digital twin approaches
Lead ranking, prioritization, and classification systems
Establish reusable ML platform patterns
Partner with engineering, product, clinical, and analytics teams
Mentor senior engineers and elevate standards around machine learning engineering
Influence enterprise-wide AI/ML strategy and contribute thought leadership
Technical Skills Required
Python PyTorch SQL
Benefits & Perks
Competitive base salary range of $250,000-$280,000 per year
Discretionary bonus opportunities
Comprehensive benefits package including medical, dental, vision, disability, and life insurance coverage

Job Description

The Senior Principal Machine Learning Engineer will lead the design and delivery of advanced machine learning and AI systems that transform complex healthcare data into measurable business and operational outcomes.This role combines applied research, large-scale production engineering, and technical leadership to solve high-impact challenges involving claims, clinical data, and risk management.The position will define AI/ML strategy, build scalable solutions, and establish engineering practices that improve accuracy, auditability, and decision-making.
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