Machine Learning Engineer

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

📋 Description

• Develop and implement ML models to detect missing data, forecast treatment delays, prioritize high-risk referrals, and assess payer/patient friction.

• Design and sustain LLM-driven workflows.

• Construct and manage data pipelines to gather, cleanse, label, and store data across various systems.

• Establish success metrics, track model performance over time, and make rapid iterations to enhance accuracy and reliability. Organize training data, data labeling workflows, or feedback loops for model enhancement.

• Work in collaboration with product, engineering, and operations teams to pinpoint high-impact automation opportunities and integrate models into workflows.

⛳️ Requirements

• Over 6 years of experience in ML engineering, data science, or applied AI roles (healthcare experience is a plus).

• Proficient in Python (including Pandas, Scikit-learn, LangChain, PyTorch or TensorFlow) and SQL.

• Extensive experience in building and deploying models within production settings.

• Familiarity with LLM integration, retrieval-augmented generation (RAG), and vector search technologies (e.g., Pinecone, FAISS).

• Expertise in handling unstructured data such as OCR, NLP, and document/form understanding.

• Experience with cloud infrastructure (preferably AWS), Git, and fundamental DevOps practices.

• Comfortable collaborating with product and operations teams to address real-world business challenges.

• Experience working with healthcare data (EMR/EHR, insurance claims, HL7/FHIR).

• Experience in developing patient or payer-facing AI solutions in regulated environments (HIPAA compliance).

🏝️ Benefits

• Medical, dental, and vision insurance through our employer plan.

• Short and long-term disability coverage.

• 401(k) plan with matching contributions as an early-stage startup.

• 15 Days of PTO — and we strongly encourage you to utilize it!

• Competitive paid parental leave along with a flexible return-to-work policy.

• We are committed to your professional growth. As our company scales, we provide ample opportunities for professional development to help you keep pace with the evolving needs of the organization and advance your career.