Gameplay Data Science Engineer

Electronic Arts

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Los Angeles, CAVancouver, British Columbia, Canada
Salary: $141,400–$204,400 / yr
Posted: 8 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $190k

This role $173k

$126k most similar roles pay here $254k

This role pays less than 57% of similar roles. Most pay $137,968–$241,750 — the shaded band above. At the midpoint, this role pays about $173k versus about $190k 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 28 open roles on FindRole.

Listed pay typically runs $141,400–$204,400 across 13 roles with salary data.

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At a glance

TL;DR · Gameplay Data Science Engineer

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Gameplay Data Science Engineer (Apex Legends) joins the Respawn team to drive research and development of advanced bot behaviors and AI frameworks. Working at the intersection of data science and gameplay programming, you will build intelligent agents using machine learning and reinforcement learning to enhance the player experience. Your daily responsibilities include designing and maintaining gameplay-focused AI frameworks like Utility AI within the game engine, developing algorithms to analyze gameplay data for better decision-making, and optimizing data pipelines for consoles and servers. You will utilize C++, Python, neural networks, and big-data techniques to solve complex problems regarding bot performance. The role requires a strong foundation in mathematics, statistics, and optimization theory to translate creative visions into technical specifications while ensuring high-quality AI systems that improve overall game quality and player engagement within the live service franchise.

Skills

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

What you'll do

Lead R&D efforts 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 performance across consoles and dedicated servers.
Build scalable data pipelines using large-scale computing frameworks and big-data techniques.

What we're looking for

At least 5 years of experience in data science, machine learning engineering, or gameplay programming within the games industry.
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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