Senior Software Engineer, Machine Learning - EA SPORTSTM FC

Electronic Arts; Southam CP; On-site; GBP 70,000 - 110,000; Full time

Job summary

Electronic Arts, a global leader in interactive entertainment, is building an FC Generative AI team to research and develop ML features for FC games. You will join a cross-functional team to ideate, implement and productize ML models for in-game features such as speech, NLP and content generation.

Typical work includes optimizing on-device inference, collaborating with engineers and external AI vendors, and sharing best practices across the team to push the boundaries of real-time ML in gaming.

Qualifications

• BS in Computer Science, Mathematics or related field, or equivalent experience.
• Strong programming in C++ and Python with ML deployment experience.
• Experience optimizing ML inference across real-time constraints.
• Proven ability to build, deploy and maintain ML in product software.

Responsibilities

• Research and evaluate ML models for fields including ASR, NLP and procedural content generation.
• Tailor models and inference frameworks to FC requirements and integrate into game systems.
• Optimize on-device C++ runtime inference to meet platform KPIs.
• Share knowledge with cross-functional teams and demonstrate ML concepts.

Skills

C++

Python

ML Inference

Productized ML

Education

Bachelor's in CS/Math or related

Tools

PyTorch

TensorFlow

Job description

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 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.

About Electronic Arts

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.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and 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 applicable law.