Overview About Gusto Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 400,000 businesses nationwide. Our mission is to create a world where work empowers a better life. We’re committed to building a collaborative and inclusive workplace, both physically and virtually. About the Role As a Staff Machine Learning Engineer, you will work closely with applied science practitioners and engineers to rapidly build, deploy, and iterate high-quality ML infrastructure solutions at scale, ensuring both reliability and effectiveness. Your deep expertise in the machine learning model development cycle, along with a strong understanding of data pipelines and data infrastructure, will be crucial in developing a dependable and scalable ML infrastructure for all of Gusto to rely on. The ideal candidate is passionate about developing software, documenting optimal processes, working with data, and understanding the needs of end users. A strong grasp of ML and data infrastructure is essential, as you will work with stakeholders to build efficient solutions to help our partners scale x times better.

Day-to-day 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.

What we’re looking for

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.

Compensation & Locations Our cash compensation amount for this role is targeted at $157,000-$194,000/year in Denver, $188,000-$222,000/year in Los Angeles, and $190,000-$235,000/year for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

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). 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.

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required.

Equal Opportunity Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Application Information Interested in building your career at Gusto, Inc.? Apply for this job. To apply, please submit your resume and required information.

Voluntary Self-Identification Our customers come from all walks of life and so do we. We hire people from a wide variety of backgrounds to build better products and serve our customers. The following demographic questions help us identify areas for improvement in our process and further support our diversity efforts. Your responses will be confidential and will not be used in making any employment decisions.

Disability information: Example list of disabilities

Note on Additional Questions Details related to gender identity, sexual orientation, race/ethnicity, veteran status, and related topics are collected solely for diversity, equity, and inclusion purposes and are not used in making hiring decisions.

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