Electronic Arts

Empowering players to create is an exciting future for the gaming industry.  At Electronic Arts we have many examples of players creating content, whether it be a skateboard park in Skate or fantastical mansions in the Sims 4. The future definitely has our players being more empowered to create with their imagination being the only limit.

We are looking for a software engineer to help shape the future of content creation and gameplay with AI. If you have the right expertise and are interested we want to hear from you!

As a Software Engineer in the AI space you will

• Work in partnership with game teams to design shared services

• Design, develop and implement AI production  pipelines that are scalable, repeatable, cloud agnostic and secure

• Design and implement Machine Learning solutions that consider game development requirements: (e.g. low impact runtime complexity & operating cost)

• Learn by failing fast & failing often. Develop solutions by collecting academic and industry knowledge, rapid prototyping and iterating.

• Review and keep up to date with the field of Machine Learning (Deep Learning, LLMs, Diffusion models, etc).

• Work with game teams that are both live and or in production to augment their workflows or experiment to discover new player features.

Qualifications and experience (not all need to be met)

• 4+ year experience in a hands-on development role in games or a related field.

• Graduate degree computer science, or related a field

• Hands on experience with Machine Learning

• Conceptual understanding of Deep Learning, LLMs, Diffusion models.

• Experience with devops tools and principles (Git, Perforce, CI/CD, Docker)

• Understanding of containerization and orchestration technologies (Docker, Kubernetes, etc.)

• Experience working in highly collaborative environments with multidisciplinary roles beyond engineering like design, audio, art and product management.

• Experience with CI/CD pipelines