# Senior Applied Scientist - Multi-Sensor & On-Device ML at Gridware

- Company: Gridware
- What the company does: 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.
- Company website: https://www.gridware.io/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco, CA
- Work setup: Hybrid
- Pay: $165K to $205K base salary per year (USD)
- Posted: 2025-12-11
- Apply by: 2026-10-08
- Apply: https://jobs.lever.co/gridware/8aad8b07-f5cf-4395-b7d3-a3b939c42bf2
- Page: https://www.1752.vc/careers/jobs/gridware-senior-applied-scientist-multi-sensor-and-on-device-ml/

## About the role

We are seeking a Senior Applied Scientist, On-Device ML to design models that operate on multimodal time-series sensor data in highly resource-constrained environments. You will develop algorithms that balance accuracy with strict power and memory limits, helping advance the next generation of Gridware’s edge intelligence. This role blends applied research, model optimization, and low-level implementation in collaboration with hardware and firmware teams.

## What they're looking for

- MS or PhD in Computer Science, Electrical Engineering, or a related technical field
- 3+ years of experience developing and deploying production ML models, on-device
- 3+ years of applied research experience in ML or algorithm development
- Hands-on experience working with physical sensors such as IMU, magnetometer, audio and modeling time-series data
- Strong foundation in ML architectures and on-device algorithm design for real-world systems

Tags: Automation