SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 160,000 - 240,000 / annual
Gusto is seeking a Machine Learning Platform and Infrastructure Engineer to join its ML Platform team. The role focuses on building and scaling ML and AI infrastructure to support Gusto's mission of growing the small business economy through payroll, HR, and benefits solutions.
Day-to-day responsibilities include designing and building MLOps solutions with automated pipelines and standardized processes for building, deploying, running, monitoring, debugging, and retraining ML and AI models. You will develop and maintain frameworks for machine learning model development and deployment, collaborate with ML/AI engineers and application owners to determine business requirements and SLAs for API-enabled services, and enhance infrastructure supporting machine learning services. The role involves supporting CI/CD pipelines and automated testing for ML model deployment, applying AI tools as part of your engineering workflow, and adopting latest best practices for AI technologies in technical development.
The ideal candidate has 4+ years of software engineering experience with Python, Ruby, or Java, with demonstrated experience designing and developing infrastructure and platform services for the machine learning lifecycle (feature stores, model development, deployment, observability tools). Experience with major cloud platforms (AWS preferred) is required. You should be curious about emerging AI frameworks, comfortable with AI-assisted development tools, and committed to staying current with evolving software development approaches.
Gusto operates physical offices in Denver, San Francisco, and New York, with hybrid expectations of 2-3 days per week in-office. The company supports 500,000+ small businesses and provides competitive base pay, benefits, and equity (RSUs) to all full-time employees. AI fluency is expected across all team members.
