Gameplay Data Science Engineer

Electronic Arts

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Los Angeles, CAVancouver, British Columbia, Canada
Salary: $141,400–$204,400 / yr
Posted: 53 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k

This role $173k

$124k $243k

below market most similar roles pay here above market

This role pays less than 57% of similar roles. Most pay $135,456–$231,150 — the blue band above. At the midpoint, this role pays about $173k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Electronic Arts

Electronic Arts is a global leader in digital interactive entertainment, developing and publishing games for consoles, mobile, and PC under franchises including FIFA, Madden NFL, The Sims, Apex Legends, and Battlefield.

Electronic Arts currently has 41 open roles on FindRole.

Listed pay typically runs $141,400–$204,400 across 28 roles with salary data.

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At a glance

TL;DR · Gameplay Data Science Engineer

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The Gameplay Data Science Engineer joins the Respawn Entertainment team to drive research and development for advanced bot behaviors and AI frameworks within Apex Legends. This role operates at the intersection of data science and gameplay programming, where you will build intelligent agents using machine learning and reinforcement learning. You will design and maintain gameplay-focused AI frameworks, such as Utility AI, directly within the game engine. Key responsibilities include developing algorithms to analyze gameplay data, optimizing data pipelines for consoles and dedicated servers, and translating creative visions into scalable technical specifications. The position requires proficiency in C/C++, Python, and neural networks, alongside experience with big-data techniques and optimization theory. You will solve complex problems regarding realistic agent behaviors to improve overall game quality and player engagement.

Skills

Python C++ Machine Learning Reinforcement Learning Neural Networks Data Science big-data Data Pipelines Utility AI Statistics Optimization Theory C Algorithms

What you'll do

Lead R&D for game bots using machine learning, reinforcement learning, and neural networks.
Design, implement, and maintain gameplay-focused AI frameworks like Utility AI within the game engine.
Translate creative visions from designers into technical specifications and scalable AI solutions.
Develop algorithms to structure and analyze gameplay data to improve bot decision-making.
Optimize AI systems and data pipelines for high performance on consoles and dedicated servers.

What we're looking for

5+ years of experience in data science, machine learning engineering, or gameplay programming within the games industry.
Strong proficiency in C/C++ and Python for engine-level implementation and algorithmic development.
Hands-on experience with reinforcement learning, supervised/unsupervised learning, and AI architectures like Utility AI.
Experience with large-scale computing frameworks, big-data techniques, and building scalable data pipelines.
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.

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