Machine Learning Engineer

We are Local Infusion . Local Infusion is the fastest growing infusion provider in the United States, with a mission to transform the specialty infusion industry, because patients deserve better. By providing both exceptional, patient-centered care and the proprietary, AI-driven technology powering it, Local Infusion accelerates access, simplifies workflows, and improves outcomes for everyone in the infusion journey — from patients and clinicians to health plans, health systems, employers, and pharma. Clinicians can spend less time on paperwork and more time with patients, bringing comfort, connection, and community back to healthcare. With Local Infusion , every patient and every care team is fully supported, every step of the way. Fraud and Security Notice: Please note that all communication regarding job opportunities at Local Infusion will come exclusively from an @ email address. If you receive messages from any other domain, please disregard them. The Role Local Infusion is building a next-generation operating system for infusion care — powered by automation, AI, and real-time insights. We’re looking for a Machine Learning Engineer to own the intelligence layer of our platform. You’ll work across structured and unstructured data to drive automation, predict bottlenecks, and help patients start treatment faster. Key Accountabilities: Model Development: Build and deploy ML models to identify missing data, predict treatment delays, triage high-risk referrals, and score payer/patient friction AI Integration: Architect and maintain LLM-powered workflows Data Infrastructure: Build and maintain data pipelines to collect, clean, label, and store data across systems Model Monitoring: Define success metrics, monitor model performance over time, and iterate quickly to improve accuracy and reliability. Set up training data, data labeling workflows or feedback loops for model improvement. Cross-Functional Partnership: Collaborate with product, engineering, and operations t