Intern - Machine Learning Research

Job Description

SEED is a cross-disciplinary R&D team within EA Worldwide Studios. Our mission is to explore and help determine the future of interactive entertainment.

SEED's research targets meaningful areas of applied innovation that can be expressed directly in new player experiences, future connected services, and advanced development techniques. Our research horizon looks 2 or more years ahead and beyond. Our projects target specific game needs but with an eye towards solutions that can benefit all games.

SEED also exists to educate and be great partners. We work with game teams and industry partners, and we publish and present our research within our industry and to the public

Master Thesis - Machine Learning

Deep learning is becoming ubiquitous in Machine Learning (ML) research, and it's also finding its place in industry-related applications.

For this current hiring cycle, for the Spring semester of 2022, we now offer a couple of Master Thesis opportunities in the area of Machine Learning for the next generation of games. Together with our researchers from SEED, you will work on one of the following topics:
• Advanced automated game testing with Machine Learning: We are doing research in the area of applying Deep Machine Learning, such as reinforcement learning and supervised learning, for game testing.Our research includes, but is not limited to:
• Reinforcement Learning for Procedural Content Generation
• Real-time digital twin for game-play testing during development
• Transfer Learning in AAA-Games/Domain transfer from simple environment to complex
• Methods to increase game play testing coverage.
• Create agent personas for a more diverse game play testing.
• Deep generative models have proven incredibly useful at generating and remixing realistic content. We are now exploring how to develop these type of ideas into applications to game development. Examples of this type of work can be:
• Generative models for Crowd simulation
• Sound generation and filtering
• Ambient Life in Games using Reinforcement Learning

What We Offer

We offer a stimulating environment mixing research and game creation, we encourage creative and new thinking.Here you get to work close with researchers and provide to game studios that ship games to an audience in the order of millions.

What We Look For

We are looking for students with a background in computer science and machine learning techniques and have an interest to work on state-of-art tools for games. Experience in Unity, Unreal, Maya, or Houdini will also improve your merits.

How To Apply

Please apply online with a CV and cover letter. Also, state what project you would like to work on and explain your pick based on your interests and skills.

This internship is unpaid and temporary employment. It needs to be associated with a university education or any other type of education that has an internship period planned into the education plan, for example, LiA. We are not able to provide relocation services for this role, so we will only consider candidates already residing in Sweden.

We look forward to receiving your application!

Jobcode: Reference SBJ-rzpbn1-3-137-183-14-42 in your application.