On-Device ML Engineer for Wearable Health Signals

IC Resources; Cambridge; Sur place; GBP 60 000 - 80 000; Plein temps

Résumé du poste

IC Resources is looking for an On-Device ML Engineer in Cambridge to develop machine learning models for wearable devices. The role involves creating algorithms that extract reliable health signals while optimizing performance under tight constraints.

You will collaborate closely with hardware and firmware teams, tackling complex problems in health technology and having significant ownership of the algorithm development process.

This is an excellent opportunity to be part of an early-stage company with a strong growth trajectory.

Qualifications

• Strong background in signal processing and applied machine learning.
• Experience deploying ML models on embedded or edge devices.
• Proficiency in Python; C/C++ experience is a plus.
• Understanding of physiological signals and noisy, real-world sensor data.
• Ability to balance accuracy, efficiency, and robustness under hardware constraints.

Responsabilités

• Develop physiological inference algorithms for wearable health products.
• Build methods to extract reliable health metrics from real-world data.
• Advance hybrid DSP + ML approaches for continuous health sensing.

Connaissances

Signal processing

Applied machine learning

Python proficiency

C/C++ experience

Understanding physiological signals

Efficiency under hardware constraints

Description du poste

IC Resources is looking for an On-Device ML Engineer in Cambridge to develop machine learning models for wearable devices. The role involves creating algorithms that extract reliable health signals while optimizing performance under tight constraints.

You will collaborate closely with hardware and firmware teams, tackling complex problems in health technology and having significant ownership of the algorithm development process.

This is an excellent opportunity to be part of an early-stage company with a strong growth trajectory.