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Epic Games is looking to improve the personalization of content recommendations to players in real-time, driving long-term ecosystem growth.

Requirements

• 5+ years of industry or relevant experience, with proven interest in and knowledge of live service video games
• Experience writing efficient and scalable ML Pipelines over billions of rows in a distributed computing environment with PySpark batch and streaming
• Expert in Python development practices including version control (GitHub), and comfortable working in a CI/CD environment
• Thoughtful conceptual data modeling and data architecture practices designed for feature stores and model performance monitoring
• Experience working with development teams to instrument data and design event-level metrics to build model features
• Familiarity with supporting operational processes including: code version control (Github or similar), orchestration (Airflow)

Responsibilities

• Develop machine learning models to surface the most appealing & relevant content to players from a vast library of Fortnite islands
• Independently transform raw data into scalable production ML models and partner with backend service teams to integrate those models into Fortnite
• Continuously evaluate the effectiveness of models and iterate constantly to maximize long-term ecosystem growth
• Work with product, and engineering teams to quickly and rigorously design, test, and learn from experiments to improve the product

Other

• Passion for the gaming industry and optimizing experiences through automation and highly performant models
• 5+ years of industry or relevant experience
• Equal Opportunity employer