Software Engineer III (AI/ML) - EA SPORTS FC

As a leader in the gaming industry, EA SPORTS is leading transformational changes in game development and player experiences.

We foster a collaborative environment where every team member helps shape the future of entertainment through innovation.

The FC QVE team is focusing on revolutionizing game testing by building Gen AI systems and using advanced Machine Learning techniques.

We have a versatile team that is responsible for the entire lifecycle of AI/ML models, from initial conceptualization and analysis to their full-scale integration.

You will join this team and report to the QVE Technical Director.

• Design, implement, and scale Reinforcement Learning (RL) training pipelines to create highly capable agents.
• Develop models and algorithms that simulate human-like gameplay and decision-making for rigorous behavioral testing.
• Stress test internal systems and game logic by deploying RL agents to identify security vulnerabilities, exploits, and edge-case failures.

Infrastructure & Pipelines: Architect internal APIs, CI/CD pipelines, and orchestration workflows to ensure high-capacity experimentation and observability.

Collaborative Improvement: Collaborate across the FC franchise with game area teams to develop testing system for AI/ML game features.

Operational Excellence: Boost engineering output by adopting advanced AI-assisted workflows and maintaining rigorous standards for code quality.

• You have a Bachelor's degree in Computer Science, Mathematics with ML specialization, or a related technical field, or equivalent experience.
• Familiarity with frameworks such as TensorFlow or PyTorch.

You have at least 5 years in game or tool engineering using C++ or C#.

2+ years of experience in Reinforcement Learning or closely related fields.

Your programming skills are in Python and C++, with intrinsic knowledge of system design and distributed backends.

You have experience with console platforms, game development lifecycles, and testing ML-integrated game features.

Advanced degree (Master's) in a relevant technical discipline.

Demonstrated history of deploying and maintaining ML models within commercial software environments.

Have knowledge and be passionate about the sport of football (soccer).