Senior Machine Learning Software Engineer IV

SENIOR MACHINE LEARNING SOFTWARE ENGINEER IV

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Trilliant Health

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About Trilliant Health

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At Trilliant Health, we help hospitals and healthcare systems make smarter, data-driven decisions in an increasingly complex healthcare environment.

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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.

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About the Role

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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.

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This is a senior individual contributor role with significant technical leadership responsibility. 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.

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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.

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The strongest candidates will be hands-on engineers who can take ownership of ambiguous, technically challenging problems; make sound engineering decisions; communicate their thinking clearly; and influence others without relying on formal authority.

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You will also be expected to speak up, challenge assumptions, contribute to technical direction, and help raise the engineering capabilities of the team.

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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.

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Our Technology

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Our engineering environment is Python-first and designed for modern data and ML development.

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• Python managed with uv in a monorepo
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• Kubernetes for running production jobs and workloads
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• DuckDB and Parquet for high-performance data processing
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• Spark and Databricks for portions of our existing data pipelines
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• scikit-learn, XGBoost, and PyTorch for machine learning
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• LangChain for newer LLM-based systems
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• FastAPI and NiceGUI for services and internal web applications
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• SQLite for several applications and tools
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• Azure for cloud infrastructure and deployment
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• GitHub and modern CI/CD practices for development and deployment
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• Automated testing, static type checking, and pre-commit validation
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• Open-source Python libraries published through PyPI and GitHub
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What We're Looking For

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Engineering Experience

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• 8+ years of professional software engineering experience
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• Strong track record of building and maintaining production-quality software
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• Demonstrated ownership of significant technical initiatives from concept through delivery
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• Experience making architectural and technical decisions in complex software environments
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• Experience working effectively across engineering, product, data, and/or ML teams
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• Demonstrated ability to operate independently in ambiguous or evolving environments
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• Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, or a related field—or equivalent professional experience
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Technical Skills

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• Strong, hands-on Python development experience
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• Experience designing and maintaining data pipelines and distributed data-processing systems
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• Strong understanding of software engineering fundamentals, including testing, code quality, maintainability, and performance
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• Experience with SQL and relational databases
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• Experience with CI/CD, Python packaging, and software deployment
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• Strong proficiency with Git and modern version-control practices
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• Strong familiarity with Linux and command-line tools
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• Experience configuring and managing development environments
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• Ability to design clean, reusable, well-tested, and maintainable software
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• Experience using AI-powered coding assistants or coding agents as part of your day-to-day development workflow
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• Ability to review, test, debug, and take ownership of AI-generated code rather than treating generated code as production-ready by default
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Technical Leadership & Collaboration

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We are looking for someone who can have an impact beyond their individual contributions.

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You should be able to:

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• Lead significant technical initiatives without formal management authority
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• Influence architecture and engineering practices across the team
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• Speak up and constructively challenge ideas when you see a better technical approach
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• Clearly explain complex technical concepts to both technical and non-technical audiences
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• Make decisions in ambiguous situations and communicate the reasoning behind them
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• Work effectively with engineers, ML practitioners, product leaders, and other stakeholders
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• Provide mentorship and technical guidance to less-experienced engineers
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• Balance technical excellence with practical product and business considerations
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Nice to Have

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• Experience building or supporting machine learning systems in production
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• Experience working with healthcare, healthcare data, or other complex regulated datasets
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• Understanding of statistics and experimental design
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• Experience with Spark, Databricks, or other distributed computing frameworks
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• Experience with Kubernetes and cloud-based production environments
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• Experience developing APIs or internal web applications
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• Contributions to open-source software
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• Experience working with LLMs, RAG systems, or other AI-powered applications
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If you don’t meet every requirement, we’d still love to hear from you.

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Why Join Trilliant Health?

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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.

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You’ll have meaningful ownership of challenging technical problems and the opportunity to influence how our ML engineering organization builds and scales its software.

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You’ll work with a highly talented team that values:

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• Curiosity — asking questions and continuously learning
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• Ownership — taking responsibility for outcomes
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• Deep listening — understanding the problem before jumping to a solution
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• Effective communication — making complex ideas clear
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• Pragmatism — favoring simple, effective solutions
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• Collaboration — making the team better, not just the individual
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Benefits

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• Comprehensive health benefits package
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• 401(k) plan
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• Flexible PTO
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• Equity
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Please Note

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Trilliant Health is unable to provide visa sponsorship for this position.

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How to Apply: If this opportunity sounds like a good fit, we’d love to hear from you! Please submit your application directly through LinkedIn to be considered for this position.