ML Infrastructure Engineer
🏢 Gridware · 📍 San Francisco, CA · 💼 hybrid · ⏰ Full-Time 💰 $190,000 - $250,000 / yr
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Position Summary & Responsibilities
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.
Role Description
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.
🎯 Candidate Preparation Guide
For Gridware Applicants
Key Role Competencies & Evaluation Highlights
Key Role Focus:
Gridware evaluates candidates on hardware-software integration resilience and the ability to design ruggedized, low-power IoT systems that survive extreme field conditions.
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