Research Engineer, Time-Series ML for Wearables

SNAP, Inc.; Paris; On-site; EUR 90,000 - 130,000; Full time

Job summary

Snap Inc. in Paris is seeking a Research Engineer to advance the state-of-the-art ML for wearable time-series data.

You will build signal-processing pipelines and ML models for multimodal biosignals, collaborating with hardware and software teams across the globe. Based in the 9th arrondissement, you will translate research findings into practical recommendations for product needs with rigorous experiments and clear results.

Qualifications

• Master’s degree in machine learning, computer science, biomedical engineering or related field.
• 3+ years of relevant research or engineering experience in time-series, biometric, wearable or multimodal data.
• Hands-on experience with wearable biometrics products or platforms.

Responsibilities

• Conduct focused, product-related research projects with hypotheses and experiments.
• Review literature and translate into modeling approaches for product needs.
• Build signal-processing and ML pipelines for noisy time-series data.
• Develop algorithms for cognitive and physiological decoding using multimodal signals.
• Collaborate with software and research teams on model development and demos.
• Translate findings into clear recommendations for stakeholders.

Skills

Signal processing

Python

Time-series ML

Multimodal fusion

Experiment design

Clear communication

AI workflows

Education

Master’s degree in ML/CS/related

PhD in related field (preferred)

Tools

SciPy

NumPy

PyTorch

Pandas

Job description

Snap Inc. in Paris is seeking a Research Engineer to advance the state-of-the-art ML for wearable time-series data.

You will build signal-processing pipelines and ML models for multimodal biosignals, collaborating with hardware and software teams across the globe. Based in the 9th arrondissement, you will translate research findings into practical recommendations for product needs with rigorous experiments and clear results.