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.

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 novel User Generated Experiences powered by custom Large Language Model workflows. 

Your Responsibilities:

• Research and evaluate Machine Learning models and techniques for application in fields that include but are not limited to: Large Language Models (LLM), generative content generation, fine-tuning, knowledge distillation and model optimization.

• Tailor the functionality of these models and inference frameworks to fit FC’s requirements and target platform constraints. Integrate them into the game’s systems.

• Develop, optimize and polish features that leverage these models in the FC.

• 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.

Your Qualifications:

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

• Experience with large language models (LLM) applications, fine-tuning, knowledge distillation, and retrieval-augmented generation (RAG) techniques.

• Strong computer programming fundamentals and proficiency in Python 

• Professional experience with AI and Machine Learning along with their respective tools and frameworks (PyTorch, TensorFlow).

• Proven record of building, deploying and maintaining Machine Learning applications in productized software.

• Familiarity with C++

Preferred qualifications:

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

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