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.
About the role
This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
What they're looking for
- 5+ years of experience in machine learning, signal processing, or applied physics in production environments
- Strong programming skills in Python and experience contributing to large, shared codebases
- Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows
- Excellent written and verbal communication, especially explaining data and models clearly
More about this role
About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io .
- Develop algorithms that improve the speed, accuracy, and reliability of Gridware’s automated hazard detection systems
- Work with multimodal time-series and spatial sensor data across diverse sampling rates and noise characteristics.
- Design models that are robust, interpretable, and deployable in production environments.
- Live in the data; help curate & share strategic & well-defined datasets that help solve our highest-value challenges
- Explore...
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