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Electronic Arts

Machine Learning Engineer - EA SPORTS™ FC

Electronic Arts
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hybrid senior full-time Vancouver, British Columbia

First indexed 2 Sept 2026

Description

Electronic Arts is seeking a Machine Learning Engineer to join the EA SPORTS™ FC Gameplay Advanced Team. The team focuses on making meaningful innovations in team strategy, AI, player animation, and player interactions.

The successful candidate will work on building a generative system to produce poses at runtime. Key responsibilities include:

  • Developing and maintaining a complete animation data pipeline for ML training
  • Building stress tests to validate model robustness and performance
  • Gathering and analyzing live deployment data to optimize model performance
  • Gathering, annotating, and synthesizing training data using EA FC mocap and real-world volumetric data
  • Sharing results through shipping features, presentations, and interactive demonstrations

The ideal candidate will have:

  • A BS in Computer Science, Mathematics, or a related field
  • Proficiency in Python
  • 2+ years of industry experience in Machine Learning projects
  • Experience with 3D animation, 3D transformations, and linear algebra
  • Familiarity with ML frameworks like PyTorch or TensorFlow

Nice to have:

  • Experience optimizing ML models for real-time environments
  • Experience with ML applications in the game/entertainment domain
  • Familiarity with 3D animation tools and game engines
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://jobs.ea.com/sv_SE/careers/JobDetail/Machine-Learning-Engineer-FC/215861