The opportunity
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers.
What you'll do
Build core components of our ML and AI Platform technical roadmap to design: and build 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 the 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.
Support the development of new patterns for the deployment of machine: learning models with CI/CD pipelines and automated testing.
Apply AI tools as a regular part of your engineering workflow, and bring an: AI-native lens to engineering and product decisions: identify where AI can reduce effort, simplify complex workflows, and surface proactive guidance.
What they're looking for
- Adopt the latest best practices for using AI technologies across all aspects of technical development
- At least 4+ years of software engineering experience (Python, Ruby or Java).
- Demonstrated experience designing 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).
