# ML Infrastructure Engineer at Gridware

- Company: Gridware
- What the company does: With more than 90 million field hours and counting, Gridware is already detecting the small changes that lead to big problems.Together with utility companies, we’re preventing hazards from causing harm. We’re helping crews restore power quickly and safely.... Backed by Sequoia and Y Combinator.
- Company website: https://www.gridware.io/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco, CA
- Work setup: Hybrid
- Pay: $190K to $250K base salary per year (USD)
- Posted: 2025-12-11
- Apply by: 2026-10-08
- Apply: https://jobs.lever.co/gridware/c70668f2-69ea-4dc3-a081-78e794672da1
- Page: https://www.1752.vc/careers/jobs/gridware-ml-infrastructure-engineer/

## About the role

As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve and build out the infrastructure around model deployment and monitoring. This role is essential to helping scale out the amount of time saving’s Gridware brings to customers.

## What they're looking for

- 5+ years of experience building production ML infrastructure
- Strong software engineering skills and proficiency in Python
- Experience with cloud platforms (AWS) and container orchestration (Kubernetes)
- Familiarity with feature stores, model registries, or centralized metadata systems (i.e. MLFlow)

Tags: Automation