Machine Learning Engineer

Job 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.
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
About Electronic Arts
We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
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.

Jobcode: Reference SBJ-o11533-18-97-14-86-42 in your application.