EA SPORTS is at the forefront of revolutionizing the world of gaming by driving transformational change in how games are made and played. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive.
As one of the largest sports entertainment platforms in the world, EA SPORTS FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity.
With more opportunity than ever to design, innovate and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom.
The FC Gameplay Advanced Team makes meaningful innovations in team strategy, AI, player animation, and player interactions that create exciting back of the box features for the EA Sports FC franchise. We work with creative designers, artists, and engineers to deliver big ideas that matter to the millions of players who enjoy the biggest sports video game in the world.
In this role you will join our multidisciplinary effort to deliver the best animation in the industry. You will be initially focusing on building a generative system to produce poses at runtime.
Your Responsibilities:
Develop and maintain a complete animation data pipeline for ML training, from data source to deployment.
Build stress tests to validate model robustness and performance prior to release.
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, collaborating with production, design, and art teams to identify and drive impactful projects.
Apply machine learning techniques to develop high-quality human motion models that respond quickly to real-time controller input.
Your Qualifications:
BS in Computer Science, Mathematics, or a related field, or equivalent professional experience.
Proficiency in Python.
2+ years of industry experience, including internships, within Machine Learning projects:
Preparing large-scale datasets (TBs), with focus on compute and memory efficiency.
Productizing ML solutions, either as standalone applications or production services.
Working with cloud technologies such as Docker containers, Kubernetes, Azure, or Argo Workflows.
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
Familiarity using 3D animation tools and/or game engines a bonus
