Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop the evaluation and validation framework for all agent-driven clinical recommendations.

• Create patient risk stratification models to predict adherence, likelihood of adverse events, dosage titration optimization, and dropout risk.

• Implement and oversee the predictive analytics pipeline on AWS.

• Design and construct the RAG architecture that aligns agent responses with clinical protocols.

• Manage the lifecycle of models.

• Establish explainability layers for clinical recommendations.

• Work in collaboration with the clinical team to convert clinical protocols and pharmacy domain knowledge into model features, training labels, and validation criteria.

• Set up model monitoring and alerting systems.

⛳️ Requirements

• Over 6 years of experience in ML engineering or applied data science, including at least 3 years of delivering ML models to production in a healthcare, biotech, or clinical setting.

• Direct experience in developing clinical decision support, risk stratification, or patient outcome prediction models.

• Proven production experience with LLM-based agent systems.

• Proven ability to work alongside clinical domain experts such as physicians, pharmacists, and clinical researchers.

• Experience in HIPAA-compliant environments.

• A successful history of developing explainable models within regulated contexts.

🏝️ Benefits

• Health care insurance (medical, dental, vision).

• Life Insurance.

• Supplemental Insurance.

• Paid Time Off (PTO).

• 401K matching.

• Sick leave.

• Phone/internet reimbursement.

• Remote work options.

• High-quality equipment provided.