Company description
Ubisoft is a global leader in the video game industry, with teams around the world creating original and memorable experiences, from Assassin's Creed and Rainbow Six to Just Dance and much more. We believe that diversity of perspectives allows both players and teams to thrive. If you are passionate about innovation and pushing the boundaries of entertainment, join us and help create the unknown!
Job description
As a data scientist at Ubisoft Montréal, you will contribute to a technology product that integrates generative artificial intelligence (AI) into the features of our games. You will work with a team made up of data scientists, programmers, game designers, narrative designers and animators. Together, you will explore the possibilities of generative AI to create engaging game experiences, then test them with players. The team's work also covers research and development, product development, the creation of short games and collaboration between studios.
What you will do
- Define objectives and evaluation protocols based on the needs of design teams and player data
- Design prototypes and train machine learning models to meet these objectives
- Collaborate with machine learning specialists to transfer prototypes and establish success criteria for their integration
- Review with design teams the behaviours of AI systems and opportunities to improve gameplay
- Identify opportunities for experimentation and innovation
- Present your work and results clearly to diverse audiences
Qualifications
What you bring to the team
- Experience in data science gained through projects related to interactive products, such as games, applications or real-time systems
- Use of Python and TensorFlow or PyTorch
- Application of knowledge in statistics and evaluation methods, including data mining, statistical testing and A/B testing
- Analysis of complex, sequential data from interactive systems
- Use of your knowledge of large language models
- Translate client needs into specifications through your listening and understanding skills, while organizing your work and nurturing your interest in video games
- Communicate in English, both written and oral, with stakeholders from different countries, as required by the international collaboration linked to the position
Experience with PySpark is an asset.
What to send us
- Send your resume highlighting your relevant skills and experience
- Provide links to relevant data science or machine learning projects