Senior Machine Learning Engineer IV

Job Description: SENIOR MACHINE LEARNING ENGINEER IV\n \n At Trilliant Health, we help hospitals and healthcare systems make smarter, data-driven decisions in an increasingly complex healthcare environment.\n \n Our teams combine healthcare data, analytics, machine learning and AI to create products that help healthcare leaders understand what is happening in their markets and act with confidence.\n \n About the Role\n We are seeking a Senior Machine Learning Engineer IV to join our Machine Learning (ML) team and help build the models, systems, and software that power Trilliant Health's machine learning and AI capabilities.\n \n This is a senior individual contributor role combining hands-on machine learning, software engineering, and technical leadership. You'll work with complex healthcare data to develop production-ready ML solutions and help shape the technical direction of our ML engineering organization.\n \n We value engineers who are curious, proactive, collaborative, and able to communicate complex technical concepts clearly to both technical and non-technical audiences. We prefer simple solutions over complex ones, and we document what we build and how it works.\n \n Our Stack\n Our stack is built around Python, which we manage with uv in a monorepo. Most of our heavy computation runs as jobs on Kubernetes, where we increasingly favor DuckDB and Parquet, though some of our pipelines still run on Spark and Databricks.\n \n We build our models with libraries including scikit-learn, XGBoost, and PyTorch, and our newer LLM-based systems with Lang Chain. Our services and internal web applications use FastAPI and NiceGUI, several of them backed by SQLite, and we deploy everything to Azure.\n \n Every change runs through pre-commit hooks, static type checking, and automated tests before it merges. We also publish several of our core libraries as open source on PyPI and Git Hub.\n \n What We're Looking For\n \n Education & Experience\n\n 8+ years of professional experience in machine learning, software engineering, data science, or a closely related technical discipline, with significant hands-on experience building production ML systems\n Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field or equivalent professional experience\n Demonstrated experience taking ownership of significant ML initiatives and influencing technical decisions across teams\n Demonstrated willingness to speak up, challenge assumptions, and advocate for sound technical or modeling decisions.\n Experience working collaboratively across engineering and cross-functional teams\n\n \n Machine Learning & Data Science\n\n Strong understanding of predictive modeling and machine learning techniques\n Experience selecting, developing, evaluating, and improving ML models\n Understanding of statistics, experimentation, and model evaluation\n Experience working with large, complex datasets\n Experience developing ML workflows from experimentation through production\n\n \n Software Engineering\n\n Strong, hands-on Python development experience, including writing production-quality, maintainable, and well-tested code\n Experience developing and maintaining distributed data pipelines\n Experience with SQL and relational databases\n Experience with CI/CD, Python packaging, and software deployment\n Proficiency with Git and modern version-control practices\n Strong familiarity with Linux and command-line tools\n Ability to write clean, reusable, maintainable, and well-tested code\n Experience using AI coding agents and reviewing, testing, and improving agent-generated code\n\n \n Nice to Have\n\n Experience building, evaluating, or deploying LLM-based or other AI systems\n Experience with Healthcare claims data\n Experience with entity resolution/record linkage\n Experience with Spark or similar compute frameworks\n Open-source contributions\n\n \n If you don't meet every requirement, we'd still love to hear from you.\n \n Why Join Trilliant Health?\n You'll have the opportunity to work at the intersection of healthcare, data, software engineering, and machine learning, building technology that helps healthcare organizations make better decisions.\n You'll also have a meaningful opportunity to influence technical direction, work on challenging data problems, and collaborate with a highly talented team that values curiosity, ownership, deep listening, and effective communication.\n \n Benefits\n\n Comprehensive health benefits package\n 401(k) plan\n Flexible PTO\n Equity\n\n \n Please Note\n Trilliant Health is unable to provide visa sponsorship for this position.\n \n How to Apply: If this opportunity sounds like a good fit, we'd love to hear from you! Please submit your application directly through Linked In to be considered for this position.