Machine Learning Software Engineer

Frostbite is EA's proprietary game engine that comes equipped with tons of technologies designed to build incredible games. Our in-house engine uniquely adapts to each game while working hand-in-hand to prioritize what to build. Our goal is to empower creators all over the world to bring their best ideas to life by creating an engine that amplifies innovation across every discipline.

As a Machine Learning Software Engineer in the Frostbite Quality AI team, you will design machine learning systems that improve engineering efficiency for Frostbite and our games. You will collaborate with other software engineers, data engineers and quality analysts. You will report to the Senior Manager of Engine Development of Quality Engineering. Our team promotes a culture of learning, innovation and continuous improvement.

Responsibilities

• Design machine learning-based solutions to real-world software development workflow problems.

• Build end-to-end systems, including model evaluation, deployment, data collection, debugging, performance improvement, and monitoring.

• Collaborate with data engineers to design real-time data processing that allows dynamic context and improved inference.

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

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

• Be an active member of EA's growing AI/ML community, communicating to partners, sharing knowledge, and mentoring other team members to develop their skills.

Qualifications

• BSc or MSc degree in Computer Science, Engineering or Mathematics, or equivalent experience.

• 2+ years of experience developing ML systems.

• Proficient in Python.

• Expertise in ML frameworks like PyTorch, TensorFlow, or MLFlow.

• Experience with large-scale machine learning, including big data and model deployment in distributed computing environments.

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

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

Bonus if you have...

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

This is a hybrid remote/in-office role. #LI-Hybrid