Senior Machine Learning Engineer IV

Trilliant Health; Nashville (TN); On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

401(k) plan

Flexible PTO

Equity

Job summary

Trilliant Health is seeking a Senior Machine Learning Engineer IV to join our ML team in Nashville. You will build and maintain web apps, data pipelines, and annotation tooling to turn healthcare data into production-ready products.

You will lead large initiatives, influence architecture, and mentor junior engineers while collaborating across engineering, ML, and product teams. Our stack includes Python, Kubernetes, DuckDB, Parquet, Spark, Databricks, FastAPI, NiceGUI, and Azure.

Qualifications

• 8+ years of professional experience in software engineering, ML, data science or AI.
• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, Statistics, or related field or equivalent experience.
• Demonstrated ownership of significant ML initiatives.
• Experience working with cross-functional teams.

Responsibilities

• Build and maintain production-quality software and ML data pipelines.
• Collaborate with software engineers, ML engineers, and product teams.
• Lead large initiatives and influence architecture as an IC with technical leadership.

Skills

Python

Predictive modeling

Statistics

Data pipelines

CI/CD

Git

SQL

Linux

Development environments

Clean code

Code review with agents

Education

Bachelor’s, Master’s or PhD in CS/Engineering/Math/Stats, or equivalent experience

Tools

Kubernetes

DuckDB

Parquet

Spark

Databricks

FastAPI

NiceGUI

SQLite

Azure

Git

Job description

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 create products that help healthcare leaders understand what is happening in their markets and act with confidence.

About the Role

We are seeking a Senior Machine Learning Engineer IV to join our Machine Learning (ML) team.

In this role, you’ll build and maintain web applications, data pipelines, annotation tooling, and supporting software that enable our Machine Learning team to turn complex healthcare data into meaningful, production-ready products.

First and foremost, to your success, you’ll gain and maintain a deep understanding of our healthcare datasets and our customers. You’ll work closely with other software engineers, ML engineers, and product teams to translate product strategy into prototypes and production-quality software.

This is an Individual Contributor role with technical leadership responsibilities. While you will not have direct reports, you’ll be expected to lead large initiatives, influence architecture, delegate effectively, help develop engineering practices across the ML team, and support the development of junior engineers.

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.

Our Stack

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.

We build our models with libraries including scikit-learn, XGBoost, and PyTorch, and our newer LLM-based systems with LangChain. Our services and internal web applications use FastAPI and NiceGUI, several of them backed by SQLite, and we deploy everything to Azure.

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 GitHub.

What We’re Looking For

Education & Experience

• 8+ years of professional experience in software engineering, machine learning, data science, or AI
• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field or equivalent professional experience
• Demonstrated experience taking ownership of significant machine learning initiatives
• Experience working collaboratively across engineering and cross-functional teams

Technical Skills

• Strong proficiency in Python
• Strong grasp of predictive modeling and machine learning techniques
• Understanding of statistics and experimental design
• Experience developing and maintaining distributed data pipelines
• Experience with CI/CD, Python packaging, and software deployment
• Proficiency with Git and modern code versioning practices
• Proficiency in SQL and relational databases
• Strong familiarity with Linux-based systems and command-line tools
• Ability to manage and configure development environments
• Understanding of functional programming concepts
• Ability to write clean, reusable, maintainable, and well-tested code
• Experience using coding agents as your primary development tool and reviewing agent-written code

Nice to Have

• Experience building or evaluating LLM-based systems
• Experience with healthcare claims data
• Experience with entity resolution or record linkage
• Experience with Spark or similar distributed compute frameworks
• Open-source contributions

If you don’t meet every requirement, we’d still love to hear from you.

Why Join Trilliant Health?

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.

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.

• 401(k) plan
• Flexible PTO
• Equity

Please Note

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