Wearable Biosignals ML Research Engineer

Snap Inc.; Paris; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Emotional and mental health support

Long-term incentive / equity

Job summary

Snap Inc. is seeking a Research Engineer for the Spectacles BCI Team in Paris to advance ML for time-series wearable biosignals. You will work on state-of-the-art signal processing and develop models for cognitive and physiological decoding from multimodal data captured by wearables.

You’ll collaborate across hardware and software teams, translate research into product-ready pipelines, and communicate results to stakeholders. A strong ML background and hands-on wearable experience are essential.

Qualifications

• Master’s degree in machine learning, computer science, biomedical engineering, computational neuroscience or related fields.
• 3+ years of relevant research or engineering experience developing algorithms or models for time series, biometric, physiological, wearable, behavioral, or multimodal data.
• Hands-on experience with wearable biometrics products or platforms, such as smartwatches, fitness trackers, health trackers, sports-performance wearables, or similar real-world sensing devices.

Responsibilities

• Conduct focused, product-related research projects, defining hypotheses and designing experiments using electrophysiological and cognitive data.
• Review relevant literature and translate scientific knowledge into modeling approaches aligned with product needs.
• Build signal-processing and ML pipelines for noisy, real-world time-series sensor data.
• Develop algorithms and ML models for cognitive and physiological decoding using multimodal biological signals captured via wearable devices.
• Collaborate with software and research teams on model development and evaluation, data capture and demos.
• Translate findings into clear recommendations for stakeholders and leadership.

Skills

Signal processing

Python

Time-series ML

Multimodal fusion

Communication

AI workflows

Education

Master's degree in ML/CS/biomedical engineering

PhD preferred

Tools

Python

PyTorch

SciPy/NumPy

TensorFlow

Job description

Snap Inc. is seeking a Research Engineer for the Spectacles BCI Team in Paris to advance ML for time-series wearable biosignals. You will work on state-of-the-art signal processing and develop models for cognitive and physiological decoding from multimodal data captured by wearables.

You’ll collaborate across hardware and software teams, translate research into product-ready pipelines, and communicate results to stakeholders. A strong ML background and hands-on wearable experience are essential.