Gameplay Data Science Engineer (Apex Legends)

Respawn Entertainment - Los Angeles Metropolitan Area

Hiring: Gameplay Data Science Engineer (Apex Legends) Company: Respawn Entertainment Location: Los Angeles Metropolitan Area Job Posted Time: 2026-09-10 12:31:21 Employment Type: Full-time / Hybrid Target Skills & Keywords : Apex, AutoCAD, C, C++, CAD, Data Pipeline, Machine Learning, Python, R, Reinforcement Learning About the job Experience: •5+ years of experience in data science, machine learning engineering, or gameplay programming within the games industry. Required Skills: •Lead R&D efforts for game bots using machine learning, reinforcement learning, and neural networks to create realistic agent behaviors. •Design, implement, and maintain gameplay-focused AI frameworks, including Utility AI systems, directly within the game engine. •Partner cross-functionally with gameplay teams and designers to translate creative vision into technical specifications and scalable AI solutions. •Develop and program algorithms to structure and analyze gameplay data to improve bot performance and decision-making. •Optimize AI systems and data pipelines to ensure high performance and stability across consoles and dedicated servers. Qualifications: •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. •Job Title: Gameplay Data Science Engineer •Strong proficiency in C/C++ and Python for both engine-level implementation and algorithmic development. •Applied hands-on capability in reinforcement learning, supervised/unsupervised learning, and AI architectures like Utility AI. •Solid foundation in mathematics, statistics, and optimization theory applied to game AI and machine learning. •Bachelor's or advanced degree in Computer Science, Data Science, Engineering, or equivalent practical experience. Compensation: •$141,400 - $204,400 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!