Senior Machine Learning Engineer - Circuit and Fault Intelligence

Gridware exists to enhance and protect the mother of all networks: the electrical grid. The grid touches everyone and makes our modern economy possible. But it’s also fragile. When the grid is compromised, everything grinds to a halt, and the consequences can be dire: wildfires burn, land is destroyed, property is damaged, progress stops, and lives are lost.  

Our team builds smart sensors that help utility companies to immediately detect, find, and fix outages and take steps to prevent new outages, and other related disasters, from happening at all. The need for power will only increase. We protect the grid of today while we build the grid of tomorrow.  

Gridware is privately held and backed by the best climate-tech and Silicon Valley investors. We are headquartered in the Bay Area in northern California. 

Gridware is creating cutting edge technology to increase hazard awareness on the electric distribution system. We are building the observability layer of a safer and more efficient grid.

We are seeking an Machine Learning Engineer to lead the development of robust models and data pipelines for detecting and interpreting events from distributed sensors installed on electrical distribution infrastructure. You will support the full ML product lifecycle from model development and prototyping to building stable, fully supported, production systems for real-time event detection.

You will collaborate with a diverse team of scientist and engineers to build the hardware, software, and the operational systems to deliver actionable information to utility operators.

Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) 

Paid parental leave 

Alternating day off (every other Monday)

“Off the Grid”, a two week per year paid break for all employees. 

Commuter allowance 

Company-paid training