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Machine Learning Engineer

We are EA

Electronic Arts is more than you’ve ever realized. We’re more than a company, or a headline, or even a clever catchphrase – we’re a vibrant community of over 8,000 artists, storytellers, technologists and innovators working toward a shared vision: to inspire and unite through play.

While headquartered in Redwood City, EA's platform engineering, game development, and publishing operations take place in a network of locations, stretching from Shanghai to Stockholm, Melbourne to Vancouver. No matter which of our studio locations you join, you’ll feel the energy and support of EA’s global brand, while immersing yourself in a culture that inspires you to thrive, take risks and dream big. Our unique studios create amazingly creative and fun games - fast paced puzzles, adrenaline filled warfare, galaxy spanning adventures, high speed racing, and sports so realistic you can practically feel the grass under your feet.

The Challenge Ahead:

EA’s Digital Platform (EADP) organization is responsible for driving critical technology decisions and investments for EA on a global basis, across all divisions and studio teams. Technology and engineering leadership at EA is critical to making the industry’s best games and services and the EADP team is leading the way to providing cross-platform infrastructure that will keep our consumers connected with our games anytime, anywhere with anyone.

What a Machine Learning Engineer, Player Reliability does at EA:

This unique role will be perfect for an individual who likes to find innovative ways of building powerful data-driven systems to inform automated recovery actions. If the idea of pattern and signal analysis, extracting meaning out of petabytes of data and analyzing complex technical architecture across EA to understand underlying drivers and root causes of de-stabilization sounds exciting, then this is the path for you. Success has customers spending more hours with our portfolio of games because they are fast and reliable; having “EA Servers” powering a game becomes a competitive differentiator. This effort requires expertise spanning platform technologies, infrastructure technologies, and game engine and client technology across EA’s broad portfolio of mobile, console and PC games as well as other consumer facing touch points.

Projects and Responsibilities may include:

• Extract information from huge amounts of social media, email, chat and phone data
• Develop a better understanding of service availability issues and leverage data to build a prediction and prevention system
• Automate issue detection and resolution processes
• Build and implement in-depth analyses and data visualizations
• Design, develop, and run experiments to gauge effectiveness of metrics
• Partner closely with customer service teams to understand how to better communicate and resolve service availability issues

The next great EA Data Science, Player Reliability needs:

• Master's in Computer Science, Statistics, Operations Research or related field
• Machine learning, AI - relevant experience or coursework
• Ability to define and manage an independent project- from exploratory data analysis to model building, implementation and evaluation
• Strong programming expertise in Python
• Familiarity with a statistical software package such as R, SAS or Stata
• Experience querying databases and distributed data tools
• A passion for gaming and a highly analytical and creative thinker