Time Series ML Engineer for Wearable AI

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

Job summary

Snap Inc. in Paris is hiring a Machine Learning Engineer to advance ML for time-series data on wearable devices. You will design, implement and deploy models across Specs hardware and software teams, collaborating globally to push the next generation of sensing technology.

You will write clean, tested code, work with ML frameworks like PyTorch and mlflow, and communicate design tradeoffs through docs and reviews. English strong is required; Paris-based office for on-site work.

Qualifications

• MSc in Machine Learning or Computer Science or equivalent.
• 3+ years of ML research or engineering experience.
• Fluency in English.
• Experience with PyTorch or ML frameworks.
• Experience with cloud environments (Google Cloud, AWS).
• Knowledge of time-series analysis and sensor data.
• Experience with real-time ML and CI/CD workflows.

Responsibilities

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

Skills

Python

Time series ML

ML algorithms

Communication

Cross-team collab

Git

C++

Education

MSc in ML or CS

PhD in ML or CS (preferred)

Tools

PyTorch

mlflow

Google Cloud

AWS

Job description

Snap Inc. in Paris is hiring a Machine Learning Engineer to advance ML for time-series data on wearable devices. You will design, implement and deploy models across Specs hardware and software teams, collaborating globally to push the next generation of sensing technology.

You will write clean, tested code, work with ML frameworks like PyTorch and mlflow, and communicate design tradeoffs through docs and reviews. English strong is required; Paris-based office for on-site work.