Thesis work in Machine Learning
The last decade has given rise to a plethora of new machine learning techniques for applications from text, image and sound generation to robotic control. At Embark we want to advance the state of the art in how these techniques can be applied to making games, both for speeding up current workflows and to create completely new kinds of experiences.
As a thesis worker in the Machine Learning group you would explore the application of one of these new techniques to problems in our live games -- ARC Raiders and THE FINALS -- or in one of our upcoming game projects. We have projects that need solving in animation, video creation, interactive storytelling, and robotics, but if you have some cool idea for something else please let us know. We would love to hear from you!
What we offer
A dedicated internal supervisor with deep domain knowledge
Access to real production problems across our live games
The chance to contribute to research that ships in real games
How to apply
We don’t need a finished proposal. Tell us what you want to explore and why it matters - we’ll take it from there and shape the project together.
- Locations
- Stockholm
We empower everyone to create games
To realize this dream of ours, we explore and apply the latest technology, and we reimagine what games can become and how they should be built. All of us at Embark take part in shaping our culture. We succeed together, we fail together, and we learn together. If you’re passionate about games and our mission, bring your expertise, your enthusiasm, your crazy ideas, and let’s change the games industry forever. At Embark we offer a journey into the unknown, to build creative, surprising and beautiful experiences together.