Senior ML Engineer, Multi-Sensor Modeling

🕒 March 9

🏢🏡 San Francisco – Hybrid

💵 $190k - $205k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Gridware

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

⚡ Energy

Energy • Utility • Technology

Gridware is a company that collaborates with utility companies to enhance grid assets using cutting-edge technology. Their innovative systems enable real-time fault detection, streamline outage repairs, and monitor the health of grid infrastructure. By providing data-driven insights, Gridware helps utilities maintain and extend the lifecycle of their assets, contributing to a more reliable and efficient power grid. With deployments in 11 states, the company is dedicated to protecting the grid today while preparing for future challenges.

📋 Description

• 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 • 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. • 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.

🎯 Requirements

• 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.

🏖️ 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