Machine Learning Engineer

Take ownership of the intelligence layer of the platform. In this high-impact role, you’ll work across structured and unstructured healthcare data to power the next generation of automation, insights, and patient experience in infusion therapy. Reporting to the Head of Product, you’ll be a cross-functional partner helping us turn data into action and bottlenecks into breakthroughs. Key responsibilities include: - Model Development: Build and deploy ML models to identify missing data, predict delays, and triage high-risk referrals. - AI Integration: Architect and maintain LLM-powered workflows (e.g., RAG pipelines, OCR + NLP chains, vector DB tuning). - Data Extraction: Extract and normalize data from PDFs, faxed forms, call transcripts, and EHR exports. - Data Infrastructure: Build pipelines to collect, clean, label, and store data across internal and external systems. - Model Monitoring: Define success metrics, monitor performance, and iterate to improve model reliability and accuracy. - Cross-Functional Collaboration: Work with product, engineering, and ops to embed models directly into our workflows. - Talent Oversight: Evaluate engineering talent and manage technical vendors as needed.