This job listing expired on Feb 28, 2024

Frostbite is EA’s state-of-the-art multi-platform game development engine. Our global team develops creative engine features and cutting-edge tools that let our game makers create stunning games. We’re honored to have thousands of game developers worldwide using Frostbite as they create some of the industry’s best-known titles and amazing player experiences. Join us as we help shape the future of gaming with Frostbite.

Reporting to the Engineering Manager of Quality Engineering, you will join a versatile team driving innovation to improve Frostbite's quality and the experience of our partners. You will design machine learning models and systems to improve engine quality and solve complex software engineering problems. You will collaborate with other software engineers, data engineers and quality analysts across Frostbite and game studios to make development and quality verification workflows more efficient. Our team promotes a culture of learning, innovation, continuous improvement and sustainable development.


  • Collaborate with our partners to identify opportunities where machine learning (LLMs, generative AI) is an appropriate solution for predictive quality assessment.

  • Design, review and implement neural network architectures and other machine learning models.

  • Collaborate with data engineers to design and improve data pipelines for real-time data processing, enabling dynamic model training and inference.

  • Build end-to-end machine learning systems, including data collection/labelling, training pipelines, model deployment, performance improvement, and monitoring.

  • Use vector databases to facilitate efficient storage, querying and retrieval of high-dimensional data generated by machine learning models.

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

  • Debug models and analyse results to uncover insights and improve systems.

  • Stay up-to-date on advancements in deep learning, generative AI and adjacent fields through self-study and internal and external conferences.

  • Be an active member of Frostbite and EA's growing ML and AI communities, communicating to partners, sharing knowledge, and mentoring other team members to develop the appropriate skills.


  • Bachelor's degree in Computer Science, or equivalent training and professional experience.

  • 5+ years professional software engineering experience.

  • Python programming skills and expertise in ML frameworks like PyTorch, TensorFlow.

  • Experience building, debugging, and shipping end-to-end ML systems in a production environment.

  • Experience with large-scale machine learning, including handling big data and deploying models in distributed computing environments.

  • Familiarity with the machine learning ecosystems of cloud providers (AWS, Azure).

  • Proficiency in software engineering good practices (version control, unit testing, code reviews).

Bonus if you have...

  • Experience with C# or C++.

  • Familiarity with software quality processes, test automation, or game development processes.

About Electronic Arts

Everything we do is designed to inspire the world to play. Through our cutting-edge games, innovative services, and powerful technologies, we bring worlds with infinite possibilities to millions of players and fans around the globe.

We’re looking for collaborative and inclusive people with diverse perspectives who will enrich our culture and challenge us. We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support our people through every chapter of life. We provide comprehensive benefit packages and support for a balanced life with paid time off and new parent leave, plus free games and so much more. Our goal is to provide a safe and respectful workplace that empowers you to thrive in both work and life.

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.