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# Software Engineer, ML Platform

- **Company:** Gusto
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Python (Programming Language), Machine Learning, Ruby, Azure Machine Learning, Software Engineering, AI Infrastructure, Cloud Platform System, Delivery Pipeline, Grafana, AI Platforms, Machine Learning Operations, Data Pipelines
- **Published:** August 11, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/software-engineer-ml-platform-denver-co-usa-58896810

## About the Role

pipelines and automated testing * Apply AI tools in engineering workflows and promote an AI-native approach to decisions * Adopt best practices for using AI technologies across technical development Tasks * 5+ years of software engineering experience (Python, Ruby or Java) * Experience designing and building ML lifecycle infrastructure (feature stores, model development, deployment, observability tools) * Experience with at least one major cloud platform (AWS preferred) * Curiosity and experimentation with emerging AI frameworks and best practices for scaling AI * Comfort with AI-assisted development tools and staying current with new approaches Key requirements * competitive base pay * benefits * equity (RSUs)

## Description

Experteer Overview Join Gusto's ML Platform team as a Machine Learning Platform Engineer to design and scale our ML/AI infrastructure. You will partner with AI/ML engineers to deploy reliable, scalable systems that support the ML lifecycle, data pipelines, and deployment workflows. Your work enables teams to build, test, and iterate models rapidly while embedding AI-powered guidance into engineering processes. This role offers impact at scale and the chance to shape how AI drives product decisions across the company. Compensation / Benefits * Build core components of the ML/AI platform roadmap and automate pipelines for model development, deployment, monitoring, and retraining * Develop and improve frameworks for ML model development and deployment * Collaborate with ML/AI builders and application owners to define requirements and SLAs for API-enabled services * Develop, maintain, and enhance infrastructure supporting ML services * Support new patterns for model deployment with CI/CD pipelines and automated testing * Apply AI tools in engineering workflows and promote an AI-native approach to decisions * Adopt best practices for using AI technologies across technical development Tasks * 5+ years of software engineering experience (Python, Ruby or Java) * Experience designing and building ML lifecycle infrastructure (feature stores, model development, deployment, observability tools) * Experience with at least one major cloud platform (AWS preferred) * Curiosity and experimentation with emerging AI frameworks and best practices for scaling AI * Comfort with AI-assisted development tools and staying current with new approaches Key requirements * competitive base pay * benefits * equity (RSUs)


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