Research Engineer - Wearable Biosignals & Time-Series ML

Snap; Paris; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Paid parental leave

Medical coverage

Wellbeing & mental health programs

Long-term incentives

Job summary

Snap Inc. is seeking a Research Engineer for the Spectacles BCI Team to advance ML for time-series data from wearable devices, based in our Paris office.

You will lead product-related research, design experiments, and develop robust pipelines for cognitive and physiological decoding from multimodal biosignals. The role requires a Master’s (or PhD) and 3+ years of relevant experience, with strong Python skills and a background in signal processing and multivariate time-series analysis.

Qualifications

• Master's degree or PhD in a relevant field; 3+ years of research/engineering experience in time-series, biometric, wearable or multimodal data.
• Experience with wearable biometrics products or platforms is required.
• Strong signal-processing fundamentals and ability to translate research into engineering deliverables.

Responsibilities

• Conduct focused research projects on time-series data and wearables, defining hypotheses and experiments.
• Translate literature into modeling approaches aligned with product needs.
• Build signal-processing and ML pipelines for noisy real-world data.
• Develop ML models for cognitive/physiological decoding from multimodal signals.
• Collaborate with software and research teams on model development and evaluations.

Skills

Signal processing

Python proficiency

ML for multivariate time series

Communication of model tradeoffs

AI-assisted engineering workflows

Education

Master’s degree in ML/CS/biomedical engineering or related fields

PhD in related field (preferred)

Tools

Python

PyTorch/TensorFlow

Scientific computing tools

Job description

Snap Inc. is seeking a Research Engineer for the Spectacles BCI Team to advance ML for time-series data from wearable devices, based in our Paris office.

You will lead product-related research, design experiments, and develop robust pipelines for cognitive and physiological decoding from multimodal biosignals. The role requires a Master’s (or PhD) and 3+ years of relevant experience, with strong Python skills and a background in signal processing and multivariate time-series analysis.