Machine Learning Engineer

🕒 June 12

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Local Infusion

WebsiteLinkedInAll Job Openings

1 - 10 employees

🏥 Healthcare

💰 $4M Seed Round on 2022-11

Healthcare

Local Infusion is redefining infusion therapy with a focus on enhancing patient experiences and outcomes. With a commitment to improving the affordability and efficiency of care, Local Infusion operates ambulatory infusion centers that prioritize a community-centric and human-centered design approach. The organization aims to create a supportive environment for both patients and healthcare providers, ensuring that the infusion therapy experience feels local and personal.

📋 Description

• Build and deploy ML models to identify missing data, predict treatment delays, triage high-risk referrals, and score payer/patient friction • Architect and maintain LLM-powered workflows • Build and maintain data pipelines to collect, clean, label, and store data across systems • 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. • Collaborate with product, engineering, and operations to identify high-leverage automation opportunities and embed models into workflows.

🎯 Requirements

• 6+ years in ML engineering, data science, or applied AI roles (bonus for healthcare experience). • Proficient in Python (Pandas, Scikit-learn, LangChain, PyTorch or TensorFlow) and SQL. • Strong experience building and deploying models in production environments. • Familiar with LLM integration, retrieval-augmented generation (RAG), and vector search (e.g., Pinecone, FAISS). • Skilled in working with unstructured data: OCR, NLP, form/document understanding. • Experience with cloud infrastructure (AWS preferred), Git, and basic DevOps practices. • Comfortable partnering with product and operations teams to solve real-world business problems. • Working with healthcare data (EMR/EHR, insurance claims, HL7/FHIR). • Building patient or payer-facing AI solutions in regulated environments (HIPAA).

🏖️ Benefits

• Medical, dental, and vision insurance through our employer plan • Short and long-term disability coverage • 401(k) — as an early-stage startup, and we match! • 15 Days PTO — and we want you to take it! • Competitive paid parental leave and flexible return to work policy. • We invest in your career. Our company is growing quickly, and we'll give you the opportunity to do the same. You'll have access to a number of professional development opportunities so that you can keep up with the company's evolving needs and grow your career along the way.