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.
EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.
Our Advanced Technology Group is part of the EA SPORTS Technology organization, focusing on identifying and creating new, scalable technologies for game teams. We closely collaborate with game teams, central art teams, and the Frostbite engine team; though the technologies developed can apply to many different engines, environments, and hardware platforms. You will work on our strategic, multi-year projects focused on content creation experiences, improved creation pipelines and runtime functionality, both internal and player facing, for all EA SPORTS titles.
Your Responsibilities:
- Design and train ML and computer vision solutions for complex challenges in 2D and 3D including generative modeling and content generation.
- Implement and deliver production-ready ML systems that respect real-world game development constraints such as performance, tooling, and iteration speed.
- Create intuitive, easy-to-use ML powered workflows that reduce repetitive manual work while empowering creators to move faster and think bigger.
- Optimize production-ready models and pipelines to improve training and inference efficiency while maintaining high output quality.
- Evaluate, extend, and improve both internal and external ML technologies, pushing them further for game-specific use cases.
- Work closely with content creators and software engineers to ensure tools are maintainable, effective, and genuinely enjoyable to use.
- Stay current with cutting-edge research in Machine Learning, continuously evaluating how new ideas can be applied to games.
Your Qualifications:
- A Bachelor’s degree in Computer Science, Applied Math, Statistics, Machine Learning, or equivalent practical experience.
- Expert-level proficiency in Python, with deep hands-on experience writing clean, scalable, and high-performance code.
- Strong command of advanced language features such as generators, decorators, and context managers.
- A solid foundation in linear algebra, statistics, and mathematical optimization.
- 1–2+ years of hands-on Machine Learning experience, with a strong, practical, problem-solving mindset.
- The ability to take ideas from research papers to the working system, balancing innovation with usability and performance.