Software Engineer

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Frostbite is EA's state-of-the-art multi-platform game development engine. Our global team develops creative engine features and the latest 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.

Responsibilities

• Build machine learning systems to solve real-world software development workflow problems.
• Develop reusable libraries, APIs and tools around MLOps to enable ML at scale.
• Collaborate with data engineers to design 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.

Qualifications

• BSc or MSc degree in Computer Science, Engineering or Mathematics, or equivalent experience.
• 5+ years of experience developing and deploying ML systems in production.
• Proficient in Python or Scala, and SQL.
• Expertise in ML frameworks like PyTorch, TensorFlow, or MLFlow.
• 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.