Senior ML Engineer — Healthcare AI (Equity + PTO)

Trilliant Health; Nashville (TN); Presencial; USD 160.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401(k) plan

Flexible PTO

Equity

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

Predictive modeling

Statistics

Data pipelines

CI/CD

Git

SQL

Linux

Development environments

Clean code

Code review with agents

Educación

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

Herramientas

Kubernetes

DuckDB

Parquet

Spark

Databricks

FastAPI

NiceGUI

SQLite

Azure

Git

Descripción del empleo

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.