Research Engineer – Wearable ML

About the role

Snap Inc. is seeking a Research Engineer to join the Spectacles BCI Team in Paris. You will advance machine‑learning for time‑series biosensor data, shaping the next generation of wearable sensing devices.

Key responsibilities

• Design and execute product‑focused research projects using electrophysiological and cognitive data.
• Build signal‑processing and ML pipelines for noisy, real‑world sensor streams.
• Develop algorithms for multimodal biological signal decoding and collaborate with global hardware and software teams.
• Translate findings into clear recommendations for stakeholders and leadership.

Required profile

• Master’s degree in ML, computer science, biomedical engineering, computational neuroscience or related field.
• 3+ years of experience developing algorithms for time‑series, biometric or wearable data.
• Hands‑on experience with wearable biometrics platforms (e.g., smartwatches, fitness trackers).

Required skills

• Strong signal‑processing fundamentals for biosensor data.
• Proficiency in Python and scientific‑computing/ML tools.
• Knowledge of ML for multivariate time series and multimodal sensor fusion.

What we offer

• Competitive compensation and long‑term success sharing.
• Comprehensive medical coverage, parental leave, and mental‑health support.
• Dynamic office environment with a “default together” culture (4+ days onsite).