Unlock recent experiences at Electronic Arts as a Senior Data Engineer specializing in machine learning. This hybrid position focuses on creating valuable datasets from game data in Redwood City, Montreal, or Vancouver. In this role, you'll take charge of defining how multimodal datasets are structured for research use, directly enhancing the player experience.

Collaborate with data engineers and researchers to establish comprehensive dataset requirements and ensure robust quality metrics. Your insights will guide the development of automated systems to streamline dataset creation and evaluation. Key Responsibilities:

- Create canonical schemas for game capture data
- Oversee technical strategies for dataset reproducibility




- Align priorities among research data engineers
- Define data requirements and acceptance criteria
- Implement quality assessments across datasets Requirements:
- Minimum 12 years in data engineering or machine learning
- Expertise in Python and data-processing frameworks
- Background in designing multimodal datasets
- Experience with data lineage and reproducibility
- Leadership skills in directing technical initiatives Contribute your machine learning expertise to shape the future of gaming at Electronic Arts, where creativity meets technology.

📌 Electronic Arts Senior Data Engineer - Machine Learning (Montreal)
🏢 Electronic Arts
📍 Montreal