Machine learning Programmer (Character & Animation) - Rainbow Six

Jan 23, 2025
Montréal, Canada
... Not specified
... Intermediate
Full time
... Office work

We are changing how we do animation here at Ubisoft and on Rainbow Six. The injection of ML and GenAI has caused a paradigm shift in the capacity to produce high quality human like animation at a scale we could not before. By joining this team, you would be contributing to modernizing our animation tech stack with novel ML based techniques to help us make bigger, better-looking games with a heavy focus on animation quality. This role would be a step beyond RND with a focus on industrializing ML into a modern games engine. 
Responsibilities
-    Analyse existing animation tech stack and propose and implement novel approaches using machine learning techniques
-    Stay on top of the current industry developments in ML and bring them to the animation leadership for knowledge sharing
-    Execute and contribute to the existing animation roadmap for the animation team
-    Work as apart of a diverse full stack animation team to revolutionize how we make animation as a studio by industrializing pragmatic ML techniques into our animation technology stacks
-    Able to think outside of animation domain and provide ML solutions into other domains for problem solving

-    Masters or PHD in a machine learning software engineering field (or equivalent industry experience)
-    Undergaduate degree in computer science (or significant industry experience)
-    Strong 3D mathematics and calculus
-    Experience with modern game engines (unreal / unity)
-    Understanding of current novel and standard runtime and offline animation techniques for games and film
-    Innovative thinker also able to take direction
-    Excellent communication skills
-    Pragmatic and solution oriented
-    Mastery of deep learning frameworks (pytorch / keras)
-    Understanding of state of the art machine learning topics (VAEs, NERFS, GANS etc)
-    A passion for animation in games
-    C++ experience