Staff Machine Learning Engineer

About Medallion At Medallion, we believe healthcare teams should focus on what truly matters—delivering exceptional patient care. That’s why we’ve built a leading provider operations platform to eliminate administrative bottlenecks that slow healthcare organizations down. By automating licensing, credentialing, payer enrollment, and compliance monitoring, Medallion empowers healthcare operations teams to streamline workflows, improve provider satisfaction, and accelerate revenue generation, all while ensuring superior patient outcomes. About the role As a Staff ML Engineer, you will design, develop, and optimize AI systems—including ML pipelines, document understanding models, and LLM-powered workflows—to automate complex credentialing and provider verification processes. You’ll identify high‑leverage opportunities and deliver intelligent, scalable solutions that reduce administrative burden across the healthcare system. Expect full autonomy, influence over the company roadmap, and the chance to ship features that make a meaningful impact with a supportive team of engineers, PMs, and designers. What You’ll Do Scope and lead ML initiatives end‑to‑end from identifying opportunities through production deployment and iteration. Design, develop, and optimize ML models and AI systems for document parsing, extraction, classification, and intelligent automation. Build and maintain production ML pipelines that are robust, observable, and scalable. Integrate and fine‑tune third‑party AI services (OpenAI, Amazon Textract, cloud ML APIs), managing cost, latency, and quality trade‑offs. Analyze datasets to uncover patterns, validate model performance, and generate actionable insights. Help develop our AI roadmap, balancing key technical and product trade‑offs. Drive architectural decisions for ML systems and establish best practices for development, evaluation, and deployment. Teach and mentor members of the engineering team, modeling superior ML software development practices. Requirements 8+ years of experience as a software engineer, with 4+ years focused on ML or applied AI in production environments. Track record of shipping ML systems that deliver measurable business impact. Strong proficiency in Python and the modern ML/AI stack (PyTorch, Hugging Face, scikit‑learn, or similar). Experience with LLMs in production—including fine‑tuning, prompt engineering, RAG, and evaluation strategies. Strong ability to work cross‑functionally to help define, build, and deliver on product and tech objectives. Experience mentoring and leading teams, ideally in a startup environment. Care deeply about both technical success and product success. You Might Also Have Experience with healthcare data, compliance workflows, or regulated industries. Background in document understanding, OCR/ICR, or information extraction from unstructured data. Hands‑on experience with MLOps tooling (MLflow, W&B, Airflow) or cloud ML infrastructure (SageMaker, Vertex AI, Bedrock). Graduate work in a quantitative field (CS, statistics, ML, or related). As set forth in Medallion’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr Medallion