Intern - Master Thesis - Machine Learning

Job Description

SEED is a pioneering group within Electronic Arts, combining creativity with applied research. We explore, build, and help determine the future of interactive entertainment.
Our mission is to bring and foster inspiring innovation for our games and our players. We do this through research, prototypes, exploration, and never-ending curiosity. We exist to educate and be great partners. We work with game teams and publish and present our research within our industry and to the public. We pursue long-term applied research and are impactful by presenting and delivering leading technology to game teams and technology groups inside EA.

Master Thesis - Machine Learning

We offer now a couple of Master Thesis opportunities in the area of Machine Learning for the next generation of games.

Together with our research team at SEED, you will work on one of the following topics:
• 3D Avatar Synthesis: In this project you will design and train a geometric deep generative model with a disentangled latent space to produce high-quality, diverse and controllable 3D meshes for avatars.
• Procedurally Generated Text Adventures: You will explore the potential of state-of-the-art autoregressive models to create believable and engaging stories and text adventures.
• Ambient Life in Games using Reinforcement Learning: This project aims at using machine learning research to emulate believable ecosystems for video games for a hierarchy of living organisms.
• RL Agents with (different) Personas: In this project, you will combine different archetypes into personas using reinforcement learning and reward shaping for testing games.

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 work on and explain your interest 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-gk2z64-3-133-131-168-42 in your application.