Senior Software Engineer, Machine Learning - EA SPORTS™ FC

About the Position

We are seeking a Senior Software Engineer, Machine Learning for EA SPORTS™ FC to join our innovative team in Bucharest, Romania. This role is part of our hybrid work model and offers an exciting opportunity to contribute to the development of next-level entertainment experiences.

EA SPORTS FC is at the forefront of revolutionizing the world of gaming by driving transformational change in how games are made and played. Join our passionate and dynamic team as we pioneer the future of football fandom.

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.

Responsibilities

• Research and evaluate Machine Learning models and techniques for application in fields such as 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 to identify and prototype ML application opportunities within FC.

Requirements

• BS in Computer Science, Mathematics, or related field, or equivalent professional experience.
• Strong computer programming fundamentals, proficiency in C++ and Python.
• Applied experience with optimizing 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.

Nice to Have

• PhD or Master's 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.

We Offer

• Opportunity to work in a dynamic and innovative environment.
• Be part of a global community of passionate gamers and developers.
• Competitive benefits package tailored to meet local needs, including healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more.

About the Company

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.