Machine Learning Engineer - Remote

Overview

We’re seeking a Machine Learning Engineer to take ownership of the intelligence layer of our 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.

In Short

• Build and deploy ML models to identify missing data, predict delays, and triage high-risk referrals.
• Architect and maintain LLM-powered workflows (e.g., RAG pipelines, OCR + NLP chains, vector DB tuning).
• Extract and normalize data from PDFs, faxed forms, call transcripts, and EHR exports.
• Build pipelines to collect, clean, label, and store data across internal and external systems.
• Define success metrics, monitor performance, and iterate to improve model reliability and accuracy.
• Work with product, engineering, and ops to embed models directly into our workflows.
• Evaluate engineering talent and manage technical vendors as needed.

Requirements

• 6+ years in machine learning, applied AI, or data science roles.
• Strong Python skills (Pandas, Scikit-learn, LangChain, PyTorch/TensorFlow), SQL.
• Experience deploying models in production environments.
• Familiar with LLM integration, RAG workflows, vector search (Pinecone, FAISS).
• Skilled in working with unstructured data (OCR, NLP, forms).
• Experience with cloud infrastructure (AWS preferred), Git, and basic DevOps.
• Strong communicator comfortable partnering across teams to solve real-world problems.

Benefits

• Competitive compensation and performance-based bonuses.
• Medical, dental, and vision insurance.
• Short- and long-term disability coverage.
• 401(k) with company match.
• 15 days PTO (and we want you to take it!).
• Paid parental leave with flexible return-to-work options.
• Ongoing professional development opportunities.