Software Engineer, ML Platform

Gusto

ML Platform Engineer scaling MLOps infrastructure for Gusto, which provides payroll, health insurance, 401(k), and HR services to small businesses. Building reliable model deployment, monitoring, and retraining systems.

Posted 8/15/2026full-timeSan Francisco • California, Colorado, New York • 🇺🇸 United StatesMid-LevelSenior💰 $190,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and enhancing machine learning and AI platforms, focusing on MLOps solutions, automated pipelines, and infrastructure development. Proficient in Python, Ruby, or Java, with a strong understanding of cloud platforms and AI tools to drive innovative engineering practices.

Highest-signal resume keywords

MLOps SolutionsMachine Learning Lifecycle InfrastructureCI/CD PipelinesPython ProgrammingCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning Model DevelopmentAutomated TestingAPI DevelopmentFeature StoresModel DeploymentObservability ToolsInfrastructure DevelopmentAI Tools ApplicationSoftware EngineeringEmerging AI Frameworks

Soft Skills

CuriosityExperimentation

Tools & Technologies

AWSRubyJavaPython

Industry Keywords

MLOpsAutomated PipelinesStandardized ProcessesAI-Native EngineeringBusiness RequirementsService Level Agreements

Tech Stack

Tools & technologies

AWSCloudJavaPythonRuby

About the role

Key responsibilities & impact

Build core components of the ML and AI Platform technical roadmap, including MLOps solutions with automated pipelines and standardized processes to build, deploy, run, monitor, debug, and retrain ML and AI models
Develop, maintain, and enhance frameworks for machine learning model development and deployment
Collaborate with ML/AI builders and application owners to determine business requirements and SLAs for API-enabled services
Develop, maintain, and enhance infrastructure supporting machine learning services
Develop new deployment patterns for machine learning models with CI/CD pipelines and automated testing
Apply AI tools in the engineering workflow and bring an AI-native lens to engineering and product decisions
Adopt best practices for using AI technologies across technical development

Requirements

What you’ll need

At least 5+ years of software engineering experience
Proficiency in Python, Ruby, or Java
Experience designing and developing machine learning lifecycle infrastructure and platform services
Experience with feature stores, model development, deployment, and observability tools and solutions
Experience with at least one major cloud platform; AWS preferred but not required
Curiosity and experimentation with emerging AI frameworks
Comfort with AI-assisted development tools
Ability to stay current with emerging software development approaches

Benefits

Comp & perks

Competitive base pay
Health insurance
401(k)
Equity (RSUs)
Secure, reliable, and consistent internet connection required when approved to work outside a Gusto office
Reasonable accommodations for qualified individuals with disabilities and disabled veterans