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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 creates top-notch entertainment, inspiring players and fans globally. EA SPORTS™ FC is revolutionizing gaming by driving transformational change in how games are made and played.

As a Machine Learning Engineer on the EA SPORTS™ FC Gameplay Advanced Team, you will focus on building a generative system to produce poses at runtime. Your 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 identify issues and optimize model performance
  • Gathering, annotating, and synthesizing training data using EA FC mocap, real-world volumetric data, and feedback from animation experts
  • Sharing results through shipping features, presentations, papers, prototypes, and interactive demonstrations
  • Staying current with latest ML and animation advancements, collaborating with production, design, and art teams to identify and drive impactful projects
  • Applying machine learning techniques to develop high-quality human motion models that respond quickly to real-time controller input

Requirements:

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

Nice to have:

  • Experience optimizing ML models for real-time, memory- and compute-constrained environments
  • Experience with ML Applications in the game/entertainment domain
  • Experience in imitation learning (IL)
  • Familiarity using 3D animation tools and/or game engines a bonus
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://jobs.ea.com/pl_PL/careers/JobDetail/Machine-Learning-Engineer-FC/215861