Senior ML Engineer, Multi-Sensor Modeling

Gridware

120

San Francisco, CA, USA

Posted on: 2026-03-09

Category: energy

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Employment type:

Full time

Experience required:

Senior

Salary

Salary not provided

About the company:

Gridware is a technology company focused on 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 mechanical 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 headquartered in San Francisco, California, and is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

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.

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!

Benefits

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

Responsibilities

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 advanced approaches such as graph-based learning for grid topology reasoning, geospatial modeling and localization and multimodal fusion across acoustic, magnetic, vibration, electrical, and visual signals

Production Engineering

Write clean, scalable, well-tested Python code that integrates into a large shared codebase.

Build end-to-end ML pipelines including data processing, feature extraction, training, evaluation, and deployment.

Optimize models for performance, reliability, and real-world constraints.

Collaborate on infrastructure for model monitoring, validation, and continuous improvement.

Collaboration & Communication

Translate complex analyses into clear insights for engineers, operators, and leadership.

Frame solutions to ambiguous, open-ended problems to achieve buy-in from various stakeholders by focusing on the business impact of your projects

Communicate uncertainty, tradeoffs, and model behavior effectively.

Partner cross-functionally with software, data engineering, product, and event-reporting teams.

Help shape technical direction and best practices for ML at Gridware. This includes exemplifying standards for experiment tracking, model versioning, reproducibility, and lifecycle management.