Machine Learning Engineer - EA SPORTS™ FC

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, developing and maintaining a complete animation data pipeline for ML training, and gathering and analyzing live deployment data to optimize model performance.

Responsibilities:

• Develop and maintain a complete animation data pipeline for ML training
• Build stress tests to validate model robustness and performance
• Gather and analyze live deployment data to identify issues and optimize model performance
• Gather, annotate, and synthesize training data using EA FC mocap, real-world volumetric data, and feedback from animation experts
• Share results through shipping features, presentations, papers, prototypes, and interactive demonstrations
• Stay current with latest ML and animation advancements
• Apply machine learning techniques to develop high-quality human motion models

Qualifications:

• 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, 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