Edge On-Device ML Scientist - Multimodal Sensor Data

Gridware; San Francisco (CA); On-site; USD 175,000 - 205,000; Full time

Benefits offered by this job

Health, Dental & Vision

Paid parental leave

Off the Grid (two weeks)

Commuter allowance

Company-paid training

Alternating day off

Job summary

Gridware is a San Francisco-based technology company focused on protecting and improving the electrical grid through edge AI. We seek a Senior Applied Scientist, On-Device ML to develop models that run on multimodal time-series sensor data in highly resource-constrained environments, balancing accuracy with strict power and memory limits.

You will design, optimize, and implement algorithms in collaboration with hardware and firmware teams to advance Gridware's edge intelligence and systems

Qualifications

• MS or PhD in Computer Science, Electrical Engineering, or 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 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.

Responsibilities

• Execute end-to-end ML workflows, including exploratory data analysis, feature engineering, model training, evaluation, and optimization.
• Design and evaluate ML 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.

Skills

On-device ML

Sensor data

ML architectures

Embedded systems

Education

MS or PhD in Computer Science, Electrical Engineering, or related field

Tools

C/C++

Firmware development

Python

Job description

Gridware is a San Francisco-based technology company focused on protecting and improving the electrical grid through edge AI. We seek a Senior Applied Scientist, On-Device ML to develop models that run on multimodal time-series sensor data in highly resource-constrained environments, balancing accuracy with strict power and memory limits.

You will design, optimize, and implement algorithms in collaboration with hardware and firmware teams to advance Gridware's edge intelligence and systems