Machine Learning Engineer

Job Description

EA SPORTS is one of the most iconic brands in entertainment with over 25 years of innovation, passion, and connection of millions of players across the globe to their favorite sports, teams, and players. At the heart of EA SPORTS is the FIFA franchise. EA SPORTS FIFA is the world's #1 best-selling video game with over 200M engaged players across multiple platforms, including console, PC, and mobile.

Innovation, passion, and team-work is at the heart of everything we do. With studios in Vancouver, Bucharest, and Cologne; we are looking for the brightest talent so we can continue to create experiences that connect with millions of hearts and minds the world over.

The Role

As an Online Software Engineer, you will help build our networked play development team – whether that be in our online career mode, ultimate team, or core online systems and protocols. We are looking for engineers who enjoy prototyping and planning, adding amazing new features to an existing and beloved game, and improving existing code.

Responsibilities
• Develop technical solutions for online game features.
• Work with a proprietary engine to develop stable, scalable, efficient and shareable code.
• Look for ways to increase team efficiency through tooling or workflow enhancements.
• Awareness of how technical implementation impacts our performance and memory budgets.
• Work with 3rd party software APIs.
• You will report to the online team's manager and work with your peers on developing the FIFA's foundation layer.

Qualifications
• 4+ years of experience in C++ software development.
• Experience with Client'/Server, Peer-to-Peer and multi-threaded architectures.
• Knowledge of modern database technologies.
• Knowledge of networking protocols.
• Knowledge of good software programming practices.
• Experience with 3rd party APIs.
• Bachelor's degree in computer science or related field, or equivalent training and professional experience.
• 2+ years of experience working on Microsoft, Sony or Nintendo game consoles or other embedded systems is a plus.
• Experience of real-time game networking is a plus.
• Experience with Visual Studio and deep knowledge of the debugging tools.
• Experience with source control systems will come in handy.
• Experience with scripting languages (Python, Lua) and interpreted languages (C#)

Jobcode: Reference SBJ-rzokn2-3-147-66-178-42 in your application.