Company Description
Ubisoft is a world leader in video games, with teams spread across the globe creating original and memorable gaming experiences, from Assassin’s Creed to Rainbow Six, Just Dance, and many more. We believe that diverse perspectives help both players and teams grow. If you are passionate about innovation and want to push the boundaries of entertainment, join our adventure and help us create the unknown!
Job Description
As a Software Developer specializing in machine learning at Ubisoft Montreal, you will contribute to creating reliable and scalable systems that protect the trust and safety of our players.
You will be part of the Consumer Data domain within Ubisoft’s Data Office, whose mission is to use data to support players throughout their journey in a safe and respectful environment.
This position combines applied research and software development, with a clear goal of production deployment.
What you will do
- Take charge of end-to-end projects, from design to real-world use
- Design, develop, and maintain services and application interfaces for sharing data and models
- Set up large-scale data processing pipelines
- Deploy and operate scalable cloud infrastructures
- Contribute to improving platform quality and reliability
- Participate in exploratory projects to test new data and learning approaches
- Write clear, efficient, and maintainable code suitable for large-scale use
- Apply modern deployment and monitoring practices for learning systems
- Collaborate closely with data and machine learning specialists to put models into production
Qualifications
- Strong skills in software development or data engineering, particularly with Python or Rust
- Experience in creating and using web service interfaces
- Practical knowledge of cloud environments and containerized systems
- Ability to connect the big picture with technical details
- Collaborative spirit and clear, respectful communication
- Functional knowledge of machine learning, including advanced models
- Experience in deploying predictive models to production
- Knowledge of large-scale data processing or platform operations tools, an asset
- Professional proficiency in English
Additional Information
What to send us
- Your CV highlighting your skills and experience
- Links to technical projects or code repositories demonstrating your work