1 day ago
Paris, FranceMid Level
Responsibilities
- Design, implement, and deploy machine learning models and systems for time-series data and wearable device sensing.
- Collaborate with software, hardware, and research teams to deploy 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 and improve existing code and algorithms.
- Communicate technical tradeoffs through design documents, reviews, and presentations.
Requirements
- MSc in Machine Learning, Computer Science, or an equivalent field.
- At least 3 years of research or engineering experience with machine learning approaches.
- Strong knowledge of Python or C++ and deep understanding of ML principles, algorithms, and systems.
- Experience with ML frameworks such as PyTorch and MLflow and cloud environments such as Google Cloud and AWS.
- Experience with Git, version control, and code reviews; familiarity with AI agents supporting engineering and ML workflows.
- Fluency in English and strong spoken and written communication skills.
- Preferred qualifications include a PhD, expertise in digital signal processing, time series, EEG or physiological sensor data, real-time ML and sensor systems, continuous integration and code quality tools, and AI agentic tools for engineering and ML experimentation.
Benefits
- Work from Snap’s Paris office with a default-together expectation of 4 or more days per week in person.
- Benefits include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages with long-term success participation.
About Snap
Snap Inc. builds Snapchat, a visual messaging app, and supports augmented reality through Lens Studio and Spectacles, plus related services like Bitmoji. The company monetizes primarily via advertising and sponsored AR experiences for consumers, creators, and brands. Founded in 2011 and headquartered in Santa Monica, it is publicly traded on the NYSE under the ticker SNAP.