Electronic Arts

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.

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, initially focusing on models, tools, and systems that let us rapidly innovate on animation variety, control, and responsiveness while preserving visual quality.

Your Responsibilities:

• Experiment with ML techniques to find models that generate or assess realistic human motion

• Integrate these models into C++ game code to implement or support shipping features

• Gather, annotate, and synthesize the required data for your models, based on EA FC’s extensive mocap and real-world volumetric data as well as feedback from our animation experts

• Share your results through presentations, papers, prototypes and compelling interactive demonstrations

• Stay abreast of the latest advancements and consult with internal stakeholders such as production, design, and artists, to identify opportunities and propose impactful projects

Your Qualifications:

• BS in Computer Science, Mathematics or related field, or equivalent experience

• Proficiency with C++ and Python

• Strong technical background, experience working with both research engineering and game development, and a proven track record of delivery

• Experience with AI and machine learning, their relevant tools and platforms, and its application in gaming

• Demonstrated success turning new ideas into effective implementations

• Python programming experience with ML frameworks like PyTorch or TensorFlow

• Experience in working with cloud technology and platforms, e.g. containers, Kubernetes, Azure, and AWS

• Experience in working with GBs/TBs of data

• Experience in productizing ML solutions as web services or as a standalone applications

• Experience in optimizing ML models for memory and compute constrained real-time environments

• Knowledge of 3D transformations