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Senior Applied ML Engineer, On-Device
Job Location:
Job Location:
San Francisco, CA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
2 July 2026 (30+ days ago)
Posted:
Application Deadline:
29 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Department:
Job Summary
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. Gridwares 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.
Role Description:
We are seeking a Senior ML Scientist/Engineer 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 Gridwares edge intelligence. This role blends applied research model optimization and low-level implementation in collaboration with hardware and firmware teams.
Responsibilities
- Execute end-to-end ML workflows including exploratory data analysis feature engineering model training evaluation and optimization.
- Design and evaluate machine learning and DSP algorithms that meet strict power memory and latency constraints on embedded hardware.
- Conduct research and literature reviews on edge ML resource-constrained inference and efficient training techniques.
- Partner closely with hardware firmware and product teams to ensure seamless integration of models into the full system.
Required Skills
- 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 and modeling time-series data.
- Strong foundation in ML architectures and on-device algorithm design for real-world systems.
Bonus Skills
- Familiar with DSP algorithms and C/C for resource-constrained embedded systems.
- Experience porting ML models from Python frameworks to firmware-level implementations.
- Familiarity with edge ML tools quantization model compression or on-device inference strategies.
$175000 - $205000 a year
**At this time Gridware is unable to provide visa sponsorship or immigration support for this role. Were only able to consider candidates who are currently authorized to work in the country of employment without visa sponsorship now or in the future.**
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
Required Experience:
Senior IC
About Company
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 ... View more
