ML Engineer – Time-Series & Wearable Sensors

Snap; Paris; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Emotional and mental health support

Long-term incentive package

Job summary

Snap Inc. in Paris, France, seeks a Machine Learning Engineer to join the Brain-Computer Interface team. You will design and deploy ML models for time-series data on wearable devices, collaborating with hardware and software teams worldwide.

Ideal candidates have MSc in ML or CS, 3+ years in ML research or engineering, strong Python or C++, and experience with PyTorch and cloud platforms. English fluency required and a passion for innovative tech.

Qualifications

• MSc in Machine Learning or Computer Science, or equivalent field.
• Strong knowledge in Python or C++.
• 3+ years of research or engineering experience with ML approaches.
• Experience with ML frameworks (e.g. PyTorch, mlflow), as well as with cloud environments (Google Cloud, AWS).
• Fluency in English.
• Experience with engineering workflows including version control (git) and code reviews.

Responsibilities

• Design, implement and deploy ML models and systems.
• Collaborate across software and research teams to deploy new ML systems and algorithms, and resolve integration issues.
• 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

ML concepts

Time series

C++

Git

Communication

PyTorch

MLflow

Education

MSc in Machine Learning or Computer Science

Tools

PyTorch

MLflow

Google Cloud

AWS

Git

Job description

Snap Inc. in Paris, France, seeks a Machine Learning Engineer to join the Brain-Computer Interface team. You will design and deploy ML models for time-series data on wearable devices, collaborating with hardware and software teams worldwide.

Ideal candidates have MSc in ML or CS, 3+ years in ML research or engineering, strong Python or C++, and experience with PyTorch and cloud platforms. English fluency required and a passion for innovative tech.