SENIOR MACHINE LEARNING SOFTWARE ENGINEER IV Trilliant Health
About Trilliant Health At Trilliant Health, we help hospitals and healthcare systems make smarter, data-driven decisions in an increasingly complex healthcare environment.
Our teams combine healthcare data, analytics, machine learning, and AI to build products that help healthcare leaders understand what is happening in their markets—and act with confidence.
We are seeking a Senior Machine Learning Software Engineer IV to join our Machine Learning (ML) team and help build the software, systems, and frameworks that power Trilliant Health's machine learning and AI capabilities.
You'll work hands-on to build production-quality software, data pipelines, tooling, and applications while helping shape the technical direction of our ML engineering organization.
You will partner closely with software engineers, ML engineers, product leaders, and other cross-functional teams to turn ideas and product strategy into well-designed, maintainable software. You will also be expected to speak up, challenge assumptions, contribute to technical direction, and help raise the engineering capabilities of the team .
This is not a traditional data science or research role. We are looking for a software engineer who enjoys building the systems that make machine learning products possible .
Our engineering environment is Python-first and designed for modern data and ML development. Python managed with uv in a monorepo DuckDB and Parquet for high-performance data processing Spark and Databricks for portions of our existing data pipelines scikit-learn, XGBoost, and PyTorch for machine learning FastAPI and NiceGUI for services and internal web applications SQLite for several applications and tools Azure for cloud infrastructure and deployment GitHub and modern CI/CD practices for development and deployment Automated testing, static type checking, and pre-commit validation Open-source Python libraries published through PyPI and GitHub
8+ years of professional software engineering experience
Strong track record of building and maintaining production-quality software
Experience making architectural and technical decisions in complex software environments
Experience working effectively across engineering, product, data, and/or ML teams
Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, or a related field—or equivalent professional experience
Strong, hands-on Python development experience Experience designing and maintaining data pipelines and distributed data-processing systems Strong understanding of software engineering fundamentals, including testing, code quality, maintainability, and performance Experience with SQL and relational databases Experience with CI/CD, Python packaging, and software deployment Strong familiarity with Linux and command-line tools Ability to design clean, reusable, well-tested, and maintainable software Experience using AI-powered coding assistants or coding agents as part of your day-to-day development workflow Ability to review, test, debug, and take ownership of AI-generated code rather than treating generated code as production-ready by default
Work effectively with engineers, ML practitioners, product leaders, and other stakeholders Experience building or supporting machine learning systems in production Experience working with healthcare, healthcare data, or other complex regulated datasets Experience with Spark, Databricks, or other distributed computing frameworks Experience with Kubernetes and cloud-based production environments Experience developing APIs or internal web applications Contributions to open-source software Experience working with LLMs, RAG systems, or other AI-powered applications
You'll have the opportunity to work at the intersection of healthcare, data, software engineering, machine learning, and AI —building technology that helps healthcare organizations make better decisions.
You'll have meaningful ownership of challenging technical problems and the opportunity to influence how our ML engineering organization builds and scales its software.
Flexible PTO
Equity
Please submit your application directly through LinkedIn to be considered for this position.
Senior Machine Learning Software Engineer IV in nashville at Unknown Company
This position is listed as full time and onsite.