ML Engineer – Time-Series & Wearable Tech

Snap Inc.; Paris; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Snap Inc. in Paris (9th arrondissement) is seeking a Machine Learning Engineer to join the Brain-Computer Interface team. You will design, implement and deploy ML models for time-series data on wearable devices, collaborating with global teams across hardware and software.

Fluency in English and strong Python skills are essential. You will work from our Paris office and contribute to scalable ML systems, tools for training and evaluating algorithms, and clear documentation of design decisions.

Qualifications

• MSc in Machine Learning or Computer Science or equivalent field.
• 3+ years of research or engineering experience with ML approaches.
• Strong knowledge in Python and ML fundamentals.
• Experience with ML frameworks (PyTorch) and cloud environments (GCP/AWS).
• Fluency in English; solid communication and collaboration skills.
• Experience with version control and code reviews.

Responsibilities

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

Skills

Python

ML algorithms

Time series ML

Communication

Git

Education

MSc in Machine Learning

MSc in Computer Science

Tools

PyTorch

mlflow

Google Cloud

AWS

Job description

Snap Inc. in Paris (9th arrondissement) is seeking a Machine Learning Engineer to join the Brain-Computer Interface team. You will design, implement and deploy ML models for time-series data on wearable devices, collaborating with global teams across hardware and software.

Fluency in English and strong Python skills are essential. You will work from our Paris office and contribute to scalable ML systems, tools for training and evaluating algorithms, and clear documentation of design decisions.