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
As a Senior ML Manager, you will serve as a player coach role for Gridware’s cloud-based modeling team. You will help grow the existing team, improve algorithmic development frameworks, focus on strategic initiatives and direction for how we approach cloud sensor modeling, and establish best practices for a high throughput ML team. 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
- 3+ years of direct management experience
- 8+ years of experience building and deploying machine learning models in production environments
- Experience with both deep learning and classical machine/statistical learning techniques
- Strong programming skills with demonstrated proficiency in Python
- Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows
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 .
As a Senior ML Manager, you will serve as a player coach role for Gridware’s cloud-based modeling team. You will help grow the existing team, improve algorithmic development frameworks, focus on strategic initiatives and direction for how we approach cloud sensor modeling, and establish best practices for a high throughput ML team.
- 70% team management and strategy, 30% IC time
- Grow a high-performing team through hiring, coaching, performance management,...
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