Software Engineer, Machine Learning Platform

5+ years of experience in ML infrastructure, platform engineering, or production ML systems

Knowledge of the machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment

Experience with distributed systems, cloud computing, or large-scale data processing

Deeply interested in the impact and evolution of advanced AI technologies

Hands-on experience with CI/CD pipelines, DevOps practices, and infrastructure as code

Experience with containerization technologies such as Docker and Kubernetes, and orchestration systems

Chime’s Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company.

We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently.

As a Machine Learning Platform Engineer, you will design and build scalable systems that support model training, feature computation, real-time inference, and experimentation.

You’ll work at the intersection of distributed systems, cloud infrastructure, and applied machine learning.