Research Engineer; Language Models; SEED

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 Research Engineer
- Large Language Models (LLMs) - someone with LLM experience to contribute their unique expertise across SEED's projects and create technology that enables world-class experiences for our players.

With your passion for LLMs, you have a good sense of the path to true innovation for their application in video games. You know the relevant research areas in the field and know how they need to evolve and be applied to deliver unforgettable experiences. You will work with other researchers to design and implement technology relying on LLMs that enables novel experiences for our players.

This is an applied R&D role: you excel at both researching and implementing end-to-end solutions and know how to balance between quality and performance to ensure the delivery of results. As part of a collective of diverse individuals, you will also contribute your unique expertise across SEED's projects that live at the intersection of many domains.

This role is a flexible hybrid onsite role from one of our EA offices in Canada, and it offers an opportunity for remote work. You will report to our Generative Arts research vector leader.

As a Research Engineer
- Large Language Models at SEED, you will:

• Bring new ideas, discuss, and implement solutions with LLMs to some of the most complex video challenges to create differentiation for EA.

• Research novel LLMs technology, and applications for real-time use cases in games and game development pipelines.

• Build demos that showcase novel applications of LLMs.

• Participate in the end-to-end delivery of novel LLMs technology, from the R&D workbench into products at EA, in partnership with game teams and central technology groups.

• Collaborate with other developers at SEED on projects where your unique expertise will create novelty across SEED's projects that live at the intersection of many domains.

• Collaborate with game teams and central technology groups to understand their requirements better and bring expertise in overlapping areas.

• Share your work through publications, open-sourcing, and speaking 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.

Qualifications

• A degree in computer science, engineering, machine learning, or any other relevant field.

• 1+ years of experience working with LLMs, with a focus on research and development for LLMs, either in the gaming industry or a related field.

• Publications, presentations, or related artifacts in a relevant field.

• Python programming skills and expertise in ML frameworks like PyTorch or Tensor Flow.

• You work well within a team and want to collaborate with other researchers, engineers, artists, and designers.

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

• You care about video games.

• Optionally, familiarity with game engines, such as Unity or Unreal.

• Optionally, knowledge of real-time programming languages such as C, C++, or C#.

If you want to be part of—and work with—some of the most incredible people in the field, then SEED is your team!

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