Senior Applied ML Engineer, On-Device

Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. They are seeking a Senior ML Scientist/Engineer to design models that operate on multimodal time-series sensor data in highly resource-constrained environments, blending 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