Senior Software Engineer, Machine Learning

Salary: £28,000 - 68,000 per year

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.
• 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.

Responsibilities:

• Research and evaluate Machine Learning models and techniques for application in areas including automatic speech recognition, natural language processing and procedural content generation.
• Tailor the functionality of these models and inference frameworks to fit FCs requirements and integrate them into the games systems.
• Optimize on-device C++ runtime inference systems to match target platform constraints and meet performance KPIs.
• Share knowledge of 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.

Technologies:

• AI
• Support
• Machine Learning
• PyTorch
• Python
• TensorFlow

More:

We are Electronic Arts, home to EA SPORTS FC and a global community creating next-level entertainment experiences. Our FC Generative AI team researches and develops machine learning-based game features that enrich player experiences and transform how fans interact with the FC game. We offer a hybrid work model and locations listed in Bucharest, Romania and Southam, Warwickshire, United Kingdom. We support a balanced life with benefits that may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more, with packages tailored to local needs. We value adaptability, resilience, creativity, and curiosity, and we provide opportunities for learning, experimentation, and career growth.

last updated 36 week of 2026