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일반 정보

지역: Stockholm, Stockholm County, Sweden 
역할 ID
212320
근로자 유형
Regular Employee
스튜디오/부서
CT - Creative Innovation
유연근무제
Hybrid

설명 및 참여 요건

Electronic Arts는 전 세계 플레이어와 팬들에게 영감을 불어넣을 차세대 엔터테인먼트 경험을 제작합니다. 여기에선 모든 이가 이야기의 일부가 됩니다. 전 세계를 연결하는 커뮤니티의 일부이자 창의력이 번창하고 새로운 관점을 제시하며 아이디어가 중요한 곳이며 모두가 플레이 제작에 참여할 수 있는 팀입니다.

SEED is a pioneering group within Electronic Arts, combining creativity with applied research. We explore, build, and help define the future of interactive entertainment.

We exist at EA to deliver and foster inspiring innovation for our games and our players. We do this through exploration, research, prototypes, and never-ending curiosity. We collaborate with game teams and industry partners and also publish our research within our industry and to the public. We pursue long-term applied research yet stay relevant to the present by delivering artifacts along the way to game teams and technology groups inside EA. Some of our research includes bringing digital characters to life, using machine learning for game AI and content creation, and developing novel real-time graphics & physics techniques.

We are looking for a Senior Research Engineer to join the Intelligent Agents research vector to create the next generation of game AI. Our work centers on the latest technologies, including Reinforcement Learning, Language Models, and Imitation Learning. The Intelligent Agents team collaborates directly with game studios to create agent solutions today, while also driving toward 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. You will focus on foundation models, Language Models (LMs) and Action Models for the purpose of novel AI experiences. This is an applied role. 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 the office - from our SEED office in Stockholm, Sweden. You will report to our Intelligent Agents research vector lead.

As a Research Engineer at SEED, you will:

  • Develop novel ideas by researching and implementing solutions to some of the most complex challenges in video game AI, helping create difference for EA.

  • 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 game engines.

  • Share your impact by publishing your work, contributing to open-source, and presenting at conferences.

As a diverse team with solid goals, we provide autonomy and true influence to each member of SEED. We are looking for an open and curious person; someone who gets a kick out of taking new ideas, investigating them, and adapting their application to games. You have a desire to explore new areas of game development - someone who is passionate, creative, communicative, and invested.

Requirements

  • A degree in Computer Science, a STEM field, or equivalent practical experience related to game AI.

  • 8+ years of experience in software development, game development, or other relevant roles demonstrating the ability to build real-time game AI experiences.

  • Partner with other researchers, engineers, artists, and designers.

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

  • Excellent programming abilities and ability to explain complex concepts.

  • Experience with runtime-compiled languages (e.g., C++, C#) and scripting languages (e.g., Python).

  • Working knowledge of game engines such as Unity, Unreal, Godot, or similar technologies.

  • A genuine interest in video games paired with a critical understanding of how AI is built in games, including the ability to form your own insights on how you can improve it.

Additional Qualifications

  • PhD degree in Computer Science or a STEM field.

  • Experience with Language Models (LLMs, SLMs), Reinforcement Learning, and Imitation Learning.

  • Experience with publications in peer-reviewed conferences or journals.

  • Openness to travel for conferences and visit teams across EA studios.

If you want to be part of — and work with — some of the most incredible people in the field, then this role is for you!

To learn more about SEED and our impactful work, check out https://seed.ea.com/



Electronic Arts 소개
EA는 전 세계의 다양한 게임과 경험, 지역, 그리고 기회에 대한 광범위한 포트폴리오를 보유함에 있어 자랑스럽게 생각합니다. 당사는 적응력, 회복력, 창의성, 호기심을 중시합니다. 잠재력을 발휘하는 리더십부터 학습과 실험을 위한 공간을 만드는 것까지, 당사는 여러분이 훌륭한 일을 하고 성장의 기회를 추구할 수 있도록 힘을 실어드립니다.

EA는 신체적, 정서적, 재정적, 직업적, 지역 사회 복지를 강조하는 복리후생 프로그램으로 균형 잡힌 삶을 지원합니다. 당사의 패키지는 지역적 필요에 따라 맞춤형으로 구성되어 있으며, 의료 보험, 정신 건강 지원, 퇴직 연금, 유급 휴가, 가족 휴가, 무료 게임 등이 포함될 수 있습니다. 당사는 팀이 항상 최선을 다할 수 있는 환경을 육성합니다.

Electronic Arts는 동등한 고용 기회를 제공합니다. 채용에 관한 모든 결정은 인종, 피부색, 출신 국가, 혈통, 성별, 성 정체성 또는 성 표현, 성적 성향, 나이, 유전 정보, 종교, 장애, 질병, 임신, 결혼, 가족 상황, 군 복무 여부 또는 기타 법으로 보호되는 기타 특성과 관계없이 내려집니다. 당사는 또한 해당 법률에 따라 전과 기록이 있는 자격을 갖춘 지원자도 채용 대상으로 고려합니다. 또한, EA는 관련 법률에서 요구하는 대로 장애가 있는 자격을 갖춘 개인을 위한 직장 내 편의 시설을 마련합니다.