Senior Research Scientist, Sensor Technology

What you'll do

• Lead research across machine learning, signal processing, and embedded systems, including training and optimizing models for real-time sensor data inference.
• Co-design AI software and sensor hardware with engineering teams, and set technical strategy from cloud training and data collection through on-device evaluation.
• Guide cross-functional teams in integrating and deploying optimized models and sensing algorithms in consumer devices.

What they ask for

• PhD in Computer Science, a related field, or equivalent practical experience.
• 4 years of experience in machine learning research, embedded signal processing, or applied algorithm development for consumer electronics, devices and services, or medical devices.
• 3 years of experience in technical leadership for research strategy, ML architecture, or algorithmic development for shipping products.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.

Nice to have

• 8 years of experience spanning machine learning research and embedded software engineering.
• Experience with DSP, modern ML frameworks, embedded/edge deployment, data pipelines, controlled ablations, or edge AI and hardware/software co-design.

Pay

$207000 - $300000 (USD) base salary

Tools

JAX, PyTorch, TensorFlow, MCUs, DSPs, micro-NPUs, TinyML

AI focus

Researches and deploys multimodal foundation models and AI for time-series sensor data, optimizing for on-device real-time inference under power, compute, memory, and latency constraints.