Gameplay Data Science Engineer (Apex Legends)

As a Gameplay & Data Science Engineer, you will drive the Research & Development of advanced bot behaviors and AI frameworks to enhance the Apex Legends experience. You will work at the intersection of data science and gameplay programming, utilizing machine learning and reinforcement learning to create intelligent agents.

What You Will Do

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.

Why It Might Be a Fit

You will collaborate 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.

Requirements

• 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 both 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.

Benefits

• Paid time off (3 weeks per year to start)
• 80 hours per year of sick time
• 16 paid company holidays per year
• 10 weeks paid time off to bond with baby
• Medical/dental/vision insurance
• Life insurance
• Disability insurance
• 401(k)