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# Machine Learning Engineer

- **Company:** Snap Inc.
- **Location:** Paris, France
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, C++ (Programming Language), Software Quality, Code Review, Continuous Integration, Software Debugging, Software Design Documents, Python (Programming Language), Machine Learning, Tensorflow, Google Cloud, Cloud Platform System, Pytorch, Agentic-AI, Git, Information Technology, Machine Learning Operations, Software Version Control
- **Published:** October 2, 2026
- **Apply:** https://startup.jobs/machine-learning-engineer-snap-inc-10253267

## About the Role

* Strong knowledge in Python
 * Deep understanding of ML principles, algorithms and systems
 * Ability to understand, debug and improve existing code as well as develop new algorithms using advanced time series and ML techniques
 * Great spoken and written communication skills; ability to clearly explain complex ideas in a cross-functional team through design docs and presentations, * 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
 * Familiarity with AI agents to support engineering and ML workflows, * PhD in Machine Learning or Computer Science, or equivalent field
 * Expertise in algorithms for digital signal processing, time series, EEG or other physiological sensors data
 * Experience with real-time ML and sensor systems
 * Experience with continuous integration and code quality tools
 * Experience developing AI agentic tools to support engineering workflows and ML experimentation

## Description

* 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


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