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Gusto is looking to build and deploy high-quality ML infrastructure solutions at scale to support their mission of creating a world where work empowers a better life. The Staff Machine Learning Engineer will be crucial in developing a dependable and scalable ML infrastructure for all of Gusto to rely on, helping their partners scale x times better.

Requirements

• At least 10 years of software engineering experience (Python, Ruby or Java).
• Demonstrated experience architecting and developing infrastructure and platform services for machine learning lifecycle, such as feature stores, model development, deployment, and observability tools and solutions.
• Experience with at least one of the major cloud platforms (AWS preferred but not required).
• Experience with MLOps tooling such as KubeFlow, AWS Sagemaker, MlFlow, or similar.

Responsibilities

• Drive core components of our ML Platform technical roadmap to design and build MLOps solutions with automated pipelines and standardized processes to build, deploy, run, monitor, debug, and retrain ML Models.
• Develop, maintain, and enhance frameworks for machine learning model development and deployment.
• Collaborate with the ML model builders and application owners to determine business requirements and SLAs for API-enabled services.
• Develop, maintain, and enhance infrastructure supporting machine learning services.
• Support the development of new patterns for the deployment of machine learning models with CI/CD pipelines and automated testing.

Other

• Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role).
• When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required.
• Gusto has physical office spaces in Denver, San Francisco, and New York City.
• The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
• Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.