Wearable ML Engineer - Time Series & Sensing

SNAP, Inc.; Paris; On-site; EUR 65,000 - 100,000; Full time

Job summary

Snap Inc. is seeking a Machine Learning Engineer for the Brain-Computer Interface team in Paris. You will work on state-of-the-art ML for time-series data and wearable device sensing, collaborating with Specs hardware/software teams globally.

You’ll design and deploy ML models, write tested code, and communicate tradeoffs through design docs and reviews. Fluency in English and strong Python skills are essential.

Qualifications

• MSc in Machine Learning or Computer Science or equivalent.
• Strong knowledge in Python and ML principles.
• Experience with time series ML approaches.
• Proficient in English for cross-functional communication.

Responsibilities

• Design, implement and deploy ML models and systems.
• Collaborate across software and research teams to deploy ML systems and resolve integration issues.
• Develop tools for training, testing and evaluating ML performance.
• Write clean, well designed and tested code.
• Communicate technical tradeoffs clearly through design docs and reviews.

Skills

Python

ML fundamentals

Time series

English fluency

Education

MSc in ML or CS

Tools

PyTorch

mlflow

Google Cloud

AWS

Job description

Snap Inc. is seeking a Machine Learning Engineer for the Brain-Computer Interface team in Paris. You will work on state-of-the-art ML for time-series data and wearable device sensing, collaborating with Specs hardware/software teams globally.

You’ll design and deploy ML models, write tested code, and communicate tradeoffs through design docs and reviews. Fluency in English and strong Python skills are essential.