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Research Engineer

Snap Inc.
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ParisFull timePosted 3w ago

About the role

Research Engineer position in Paris focused on machine learning for time series data and wearable device sensing, collaborating with Specs hardware and software teams at Snap Inc.

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.

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.

Skills

Required:Signal-processingPythonMultivariate time series ML / multimodal sensor fusionCommunication
Nice to have:AI-assisted engineering workflows

Benefits

  • Paid parental leave
  • comprehensive medical coverage
  • emotional and mental health support programs
  • compensation packages that let you share in Snap’s long-term success!
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Snap Inc.

We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

We believe the camera presents the greatest opportunity to improve the way people live and communicate.

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