Time-Series ML Engineer for Wearable Tech in Paris

SNAP, Inc.; Paris; On-site; EUR 90,000 - 120,000; Full time

Job summary

Snap Inc. in Paris, France is seeking a Machine Learning Engineer to advance time-series ML for wearable sensing. You will join the Specs/Brain-Computer Interface teams and collaborate with global hardware/software groups to ship robust ML solutions.

The role focuses on implementing scalable ML pipelines, developing evaluation tools, and enabling rapid iteration in a highly interdisciplinary environment.

Qualifications

• MSc in Machine Learning or Computer Science or equivalent.
• Strong knowledge in Python and ML algorithms.
• Experience with ML frameworks (e.g. PyTorch, mlflow) and cloud environments.
• Fluency in English and strong communication skills.

Responsibilities

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

Skills

Python

ML concepts

Time series ML

Communication

Education

MSc in ML or CS

PhD (preferred)

Tools

PyTorch

mlflow

cloud platforms

Job description

Snap Inc. in Paris, France is seeking a Machine Learning Engineer to advance time-series ML for wearable sensing. You will join the Specs/Brain-Computer Interface teams and collaborate with global hardware/software groups to ship robust ML solutions.

The role focuses on implementing scalable ML pipelines, developing evaluation tools, and enabling rapid iteration in a highly interdisciplinary environment.