Senior Research Scientist

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.

At EA, we believe games are powerful because they bring together multiple ways people engage: play, watch, create, and connect.

Creator-made content is already a part of EA's history — from community creation tools in Battlefield to The Gallery in The Sims 4. We believe creative technologies will expand how players engage with and contribute to our experiences, supported by thoughtful product design, safety systems, and global reach. Our focus is on helping more players participate in creative expression by making creation easier, safer, and more rewarding.

We are looking for a Research Scientist to create the next generation of game AI in interactive entertainment. Our work centers on the latest technologies, including Reinforcement Learning, Language Models, and Imitation Learning. The team works directly in game engines to develop agent solutions today, while also advancing our long-term goal of developing the next generation of interactive and reasoning agents for players. The team has a track record, having deployed machine learning (ML) agents in FC26 and testing ML agents for the Battlefield franchise. This is an applied role, and you will translate your ideas into functional demonstrations (e.g., demos) to guide innovation in a very practical way.

This is a hybrid remote/in-office role: 3 days/week at our EA office in Stockholm, Sweden.

You will report to our Director of Research.

Responsibilities

• Develop novel ideas by researching and implementing solutions to some of the most complex challenges in video game AI.

• Contribute to applied research in areas such as Language Models, Reinforcement Learning, and reasoning. This includes proposing new use cases and algorithms for player-facing game AI agents, while targeting real-time, on-device performance.

• Build compelling demos that highlight novel applications of AI agents, NPC behaviors, and game AI bots, with a focus on integration into modern game engine technologies.

• Scientific Leadership: Share your impact by publishing your work in peer-reviewed conferences (e.g., NeurIPS, ICML, CVPR), contributing to open-source, and speaking at industry events.

Qualifications

• Advanced Research Background: 7+ years of experience, with a degree in Computer Science, a STEM field, or equivalent practical experience related to game AI.

• Agents related technology expertise: Experience with Language Models (LMs), Reinforcement Learning, and Imitation Learning.

• Practical experience: Experience turning ideas into functional prototypes or demos that showcase concepts in practice.

• Programming Proficiency: Excellent programming abilities in Python and ML frameworks (PyTorch or TensorFlow), alongside experience in C++ for real-time systems. Experience with AAA game engines (e.g., Unity, Unreal, Godot, Frostbite, or proprietary).