Senior Machine Learning Engineer

Gridware, a San Francisco-based technology company, is revolutionizing electrical grid management through their pioneering Active Grid Response (AGR) platform. As a Senior Machine Learning Engineer on the Data Opportunities team, you'll play a crucial role in developing end-to-end analytics workflows and predictive models that enhance grid resilience and mitigate wildfire threats.

The position offers a unique opportunity to work with large-scale time-series and spatial datasets, building sophisticated machine learning solutions that directly impact grid safety and reliability. You'll be responsible for architecting scalable data pipelines, implementing robust evaluation frameworks, and transitioning prototypes to production-ready systems.

The role requires a strong background in data science and machine learning, with particular expertise in geospatial analysis and weather/climate data. You'll work closely with cross-functional teams, mentor junior colleagues, and drive data-informed decisions that shape product development. The company offers competitive compensation ($170,000-$190,000) and comprehensive benefits, including premium healthcare coverage and innovative work-life balance perks like alternating Mondays off and a two-week paid break policy.

This is an ideal opportunity for an experienced ML engineer who wants to apply their expertise to meaningful climate-tech solutions while working with a backed by prominent climate-tech and Silicon Valley investors. The hybrid work environment in San Francisco provides flexibility while maintaining collaborative opportunities with the team.