ML Platform Engineer: Scale AI Infrastructure

Gusto; San Francisco (CA); Hybrid; USD 190,000 - 240,000; Full time

Job summary

Gusto is seeking a Machine Learning Platform Engineer to join our ML Platform team to build, scale, and deploy ML/AI infrastructure at pace. You will work closely with AI/ML engineers to deliver reliable, scalable platform services and support the end-to-end ML lifecycle from data pipelines to deployment.

The ideal candidate has 5+ years of software engineering experience (Python, Ruby or Java), plus experience designing ML infrastructure and cloud environments.

Qualifications

• 5+ years of software engineering experience (Python, Ruby or Java).
• Experience designing infrastructure and platform services for ML lifecycle (feature stores, model dev, deployment, observability).
• Experience with at least one major cloud platform (AWS preferred).
• Curiosity and experimentation with emerging AI frameworks; apply best practices to scale AI use safely.

Responsibilities

• Build core components of the ML/AI platform roadmaps; design and build MLOps pipelines and standardize processes.
• Develop, maintain, and enhance frameworks for machine learning model development and deployment.
• Collaborate with ML/AI engineers and owners to define requirements and SLAs for API-enabled services.
• Develop and maintain infrastructure supporting ML services and CI/CD pipelines with automated testing.
• Apply AI tools in engineering workflows and promote AI-native decision making across products.

Skills

Python

Ruby

Java

Job description

Gusto is seeking a Machine Learning Platform Engineer to join our ML Platform team to build, scale, and deploy ML/AI infrastructure at pace. You will work closely with AI/ML engineers to deliver reliable, scalable platform services and support the end-to-end ML lifecycle from data pipelines to deployment.

The ideal candidate has 5+ years of software engineering experience (Python, Ruby or Java), plus experience designing ML infrastructure and cloud environments.