Software Engineer - On Device Machine Learning

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.

Frostbite is EA's proprietary game engine. Its versatile tools and the latest technology power creation on some of the world's most iconic games, including titles from EA SPORTS and Battlefield. 

We are looking for a Software Engineer with expertise in developing and integrating runtime machine learning solutions to join our team. You will report to a Leader of Engine Development and collaborate with game teams, central technology engineers, and researchers to bring ML models into the hands of our players by deploying them directly within EA games. 

Responsibilities:

• Evaluate, adapt, extend, and improve existing machine learning runtime technologies, while designing and implementing new solutions from the ground up when needed.

• Partner with ML experts across EA to assess, apply, and scale models and architectures for on-device performance.

• Translate ML concepts, tradeoffs, risks, and technical constraints into clear language for different audiences.

• Build end-to-end solutions for running machine learning models across a variety of devices.

• Write clean, well-documented, and well-tested code that integrates smoothly with existing systems.

• Stay current with advancements in Deep Learning, Reinforcement Learning, Generative AI, and related fields by exploring industry developments, identifying relevant research, and proposing ways to apply it. 

• Contribute to Frostbite's and EA's ML/AI communities by sharing knowledge, collaborating with partners, and mentoring teammates.

  
  

Qualifications: