Senior Machine Learning Engineer - Platform

Summary

Join Gusto as a Senior Machine Learning Engineer and contribute to building, deploying, and iterating high-quality ML infrastructure solutions at scale. Collaborate with applied science practitioners and engineers to ensure reliability and effectiveness. Develop and maintain frameworks for machine learning model development and deployment, collaborating with stakeholders to build efficient solutions. Drive core components of the ML Platform technical roadmap, designing and building MLOps solutions with automated pipelines. Support the development of new patterns for deploying machine learning models with CI/CD pipelines and automated testing. The ideal candidate possesses deep expertise in the machine learning model development cycle and a strong understanding of data pipelines and data infrastructure.

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

Benefits

• Our cash compensation amount for this role is targeted at $157,000-$194,000/year in Denver, Chicago, Miami, Austin and Atlanta, $188,000-$222,000/year in Los Angeles, and $190,000- $235,000/year for San Francisco, Seattle and New York
• Gusto has physical office spaces in Denver, San Francisco, and New York City
• 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
• Health insurance
• 401(k)s