Description
Gusto is looking for a strong Machine Learning Platform and Infrastructure Engineer to join our ML Platform team and build out and scale our ML and AI platform.
As a Machine Learning Platform Engineer, you will work closely with AI/ML engineers to rapidly build, deploy, and iterate high-quality ML/AI infrastructure solutions at scale, ensuring both reliability and effectiveness.
Here's what you'll do day-to-day:
- 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.
- Adopt the latest best practices for using AI technologies across all aspects of technical development
We're looking for:
- At least 5+ 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).
- Curiosity and experimentation with emerging AI frameworks, applying and sharing best practices to evaluate and scale AI use safely across teams
- Comfort with AI-assisted development tools and a habit of staying current with emerging approaches to building software.
Our cash compensation amount for this role is targeted at $160,000-$200,000/year in Denver, and $190,000- $240,000/ year for San Francisco 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).