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
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 Generative AI team is researching and developing Machine Learning based game features that will enrich the experience of our players and transform the ways they interact with the FC game.
In this role you will join our cross-functional team to research, develop and integrate Machine Learning models from ideation and requirement analysis to productizing their application in FC game features.
Your responsibilities:
Research and evaluate Machine Learning models and techniques for application in fields that include but are not limited to: automatic speech recognition, natural language processing and procedural content generation.
Tailor the functionality of these models and inference frameworks to fit FC’s requirements and integrate them into the game’s systems.
Optimize on device C++ runtime inference systems to match target platform constraints and meet performance KPIs.
Share knowledge on your work by directly engaging with other members of the game team to develop and ship features.
Evangelize the craft through presentations and interactive demonstrations, promoting Machine Learning best practices and applications within the team.
Stay abreast of the latest advancements in the Machine Learning field, consult with internal subject matter experts and collaborate with external AI technology vendors, in order to identify and prototype ML application opportunities within FC.
Required qualifications:
BS in Computer Science, Mathematics or related field, or equivalent professional experience.
Strong computer programming fundamentals, proficiency in C++ and Python.
Applied experience with optimising Machine Learning inference systems across memory, compute, latency or other real-time constraints.
Proven record of building, deploying and maintaining Machine Learning applications in productized software.
Preferred qualifications:
PhD or Masters degree in Computer Science, Mathematics or related fields.
Experience with ML frameworks like PyTorch or TensorFlow.
Experience in optimizing ML models for memory and compute constrained real-time environments.
Experience working with real-time rendering engines and IHV GPU / NPU specific parallel computing platforms.