Senior Machine Learning Engineer

Gridware, a San Francisco-based technology company, is revolutionizing electrical grid management through their pioneering Active Grid Response (AGR) platform. They're seeking a Senior Machine Learning Engineer to join their Data Opportunities team, focusing on critical infrastructure protection and enhancement.

The role offers a unique opportunity to work at the intersection of machine learning and electrical grid infrastructure. As a Senior ML Engineer, you'll be responsible for developing end-to-end analytics workflows, handling large-scale time-series and spatial datasets, and building predictive models that directly impact grid resilience and wildfire threat mitigation.

The position requires a strong technical background with at least 5 years of data science experience, including expertise in Python, SQL, and geospatial technologies. You'll work with weather/climate data and need experience with cloud infrastructure and CI/CD pipelines. The role also emphasizes leadership through mentoring junior team members and cross-functional collaboration.

Gridware offers competitive compensation ($159,000-$190,000) and comprehensive benefits, including fully covered health plans, paid parental leave, and unique perks like alternating Mondays off and a two-week paid break called "Off the Grid." The hybrid work environment in San Francisco provides flexibility while maintaining team collaboration.

This is an exceptional opportunity for a seasoned ML engineer passionate about applying their skills to meaningful environmental and infrastructure challenges. You'll be working with cutting-edge technology while contributing to grid safety and reliability improvements. The role combines technical expertise with leadership opportunities, making it ideal for someone ready to make a significant impact in the climate-tech space.