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Machine Learning Engineer
Revelation PharmaMachine Learning Engineer designing, training, and monitoring ML models for healthcare applications. Owning model lifecycle management and collaborating with clinical teams for explainable models.
Posted 5/20/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $145,000 per yearWebsite
Tech Stack
Tools & technologiesAWS
About the role
Key responsibilities & impact- Own the intelligence layer that makes Evergreen's agents clinically meaningful
- Build the evaluation and validation framework for all agent-driven clinical recommendations
- Develop patient risk stratification models for adherence prediction
- Implement and manage the predictive analytics pipeline on AWS
- Design and build the RAG architecture
- Own model lifecycle management
- Build explainability layers for clinical recommendations
- Collaborate with the clinical team to translate clinical protocols and pharmacy domain knowledge into model features
- Establish model monitoring and alerting
Requirements
What you’ll need- 6+ years in ML engineering or applied data science, with at least 3 years shipping ML models to production in a healthcare, biotech, or clinical domain
- Direct experience building clinical decision support, risk stratification, or patient outcome prediction models
- Production experience with LLM-based agent systems
- Demonstrated ability to collaborate with clinical domain experts
- Experience working in HIPAA-regulated environments
- Track record of building explainable models in regulated contexts
Benefits
Comp & perks- Health care insurance (medical, dental, vision)
- Life Insurance
- Supplemental Insurance
- PTO
- 401K matching
- Sick leave
- Phone/internet reimbursement
- Remote work
- Top of the line machines
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learning engineeringdata sciencepredictive analyticsrisk stratification modelsmodel lifecycle managementexplainable modelsLLM-based agent systemsclinical decision supportadherence predictionmodel monitoring
Soft Skills
collaborationcommunicationinterpersonal skills