Careers
Machine Learning Engineer — Biomedical Signals
Build lightweight models that turn noisy sensor data into trustworthy, clinician-readable insight — on the edge.
AI & DataRemoteFull-timeGlobal
You'll develop and deploy models for biomedical signal analysis — movement, tremor, gait, cardiac, and more — that run affordably on phones and microcontrollers.
We care about models that are robust to inexpensive sensors and explainable to the clinicians who rely on them.
What you'll do
- Develop models for biomedical signal classification and feature extraction
- Optimize for edge deployment (latency, memory, power)
- Build evaluation pipelines grounded in clinical relevance
- Translate model outputs into clinician-readable signals
What we're looking for
- Strong Python and modern ML tooling (PyTorch / TF)
- Time-series / signal processing experience
- Edge / on-device inference experience a plus
- Bias toward practical, validated results over novelty
Interested in this role?
Send us a short note and your CV or portfolio — we read every application.
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