Senior Research Engineer - Machine Learning
Electronic Arts
- Stockholm
- Permanent
- Heltid
- Bring new ideas, discuss, research, and implement solutions to some of the most complex game AI and gameplay challenges to create differentiation for EA.
- Develop novel neural network applications for real-time use cases in games.
- Build demos that showcase such novel applications of neural networks.
- Deliver 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.
- A degree in machine learning, artificial intelligence, computer science, or any other relevant field.
- 7+ years of experience researching and applying traditional or machine learning-based AI techniques for the purpose of real-time applications, for games or in other relevant fields.
- Experience with machine learning. Optionally, you have experience with reinforcement learning and imitation learning.
- You have publications, presentations, or related artifacts in AI or a relevant field.
- Python programming experience with ML frameworks like PyTorch or TensorFlow
- 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, you are familiar with game engines, such as Unity or Unreal.
- Optionally, you are familiar with real-time programming languages such as C, C++, or C#.