Senior Software Engineer, Machine Learning - EA SPORTS FC

Electronic Arts Inc.; Royal Leamington Spa; Híbrido; GBP 80 000 - 110 000; Tempo integral

Resumo da oferta

Electronic Arts in the United Kingdom is seeking a Senior Software Engineer, Machine Learning for EA SPORTS FC. You will join the FC Generative AI team to research, develop and integrate ML models into the game, balancing performance with on-device inference.

The role requires strong C++/Python skills, experience optimizing ML pipelines, and a track record of shipping ML features in production software. Hybrid work in Royal Leamington Spa.

Qualificações

• BS in Computer Science, Mathematics or related field, or equivalent professional experience.
• Strong programming fundamentals in C++ and Python.
• Experience optimizing ML inference systems for memory, compute, latency.
• Proven track record of building ML applications in productized software.

Responsabilidades

• Research and evaluate ML models for game features.
• Assess model functionality and integration into FC game systems.
• Optimize on-device C++ runtime inference to meet performance KPIs.
• Share knowledge with team through presentations and demos.
• Stay informed of ML advancements and collaborate with external vendors.

Conhecimentos

C++

Python

ML inference optimization

Real-time systems

Formação académica

Bachelor's degree in CS or Math

Ferramentas

PyTorch

TensorFlow

Descrição da oferta de emprego

Senior Software Engineer, Machine Learning - EA SPORTS FC

2026-10-19T00:00:00

Royal Leamington Spa

Warwickshire

GB

CV32 4

Any

Electronic Arts

2026-11-17T10:00:13.207

General Information

• Locations: Bucharest, Romania
• Location: Southam
• State: Warwickshire
• Country: United Kingdom

Worker Type

• Regular Employee

Studio/Department

• EA Studios - SPORTS

Work Model

• Hybrid

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

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.

• Research and evaluate Machine Learning models and techniques for application in fields such as automatic speech recognition, natural language processing, and procedural content generation.
• Assess 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 of your work by engaging with other team members through presentations and demonstrations, promoting Machine Learning best practices and applications.
• Stay informed of the latest advancements in Machine Learning, consult with internal experts, and collaborate with external AI technology vendors to identify and prototype ML application opportunities within FC.

Required qualifications:

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

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.

Electronic Arts is 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.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

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 law.

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