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Senior C++ Programmer - Machine Learning Content Creation Technology Group

Ubisoft Entertainment

Montreal

Hybrid

CAD 90,000 - 120,000

Full time

Yesterday
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Job summary

A leading global gaming company located in Montreal is seeking a Senior C++ Programmer to join their Content Creation Technology Group. This role involves developing and maintaining ML systems, collaborating with various teams, and creating proof-of-concepts to drive innovation. Ideal candidates will possess extensive experience in C++, strong AI/ML knowledge, and a passion for gaming. The position supports a hybrid work model, promoting work-life balance.

Benefits

Hybrid work model
Career development opportunities
Innovative work environment

Qualifications

  • Minimum 10 years of experience in C++ programming.
  • Minimum 5 years of experience in AI/ML.

Responsibilities

  • Provide and support ML systems based on business requirements.
  • Develop, integrate, and maintain inference engines and ML libraries.
  • Collaborate with the data science team and other stakeholders.
  • Create proof‑of‑concepts and conduct research on AI advancements.

Skills

In-depth knowledge of C++
Strong architecture skills
Good understanding of hardware for multithreading
Solid machine learning fundamentals

Education

Bachelor’s degree in computer science or computer engineering
Master’s degree in Machine Learning

Tools

Python
Game engines
Job description
Senior C++ Programmer - Machine Learning Content Creation Technology Group

Join the Content Creation Technology Group (CCTG) as a Senior C++ Programmer and play a key role in building cutting‑edge applications powered by Machine Learning. We’re looking for an expert in C++ with AI/ML experience to bring best practices and robust design principles, helping us deliver on an ambitious and innovative roadmap.

What you will do

Provide and support ML systems based on business requirements and objectives.

Develop, integrate, and maintain inference engines, ML libraries, and frameworks.

Leverage the best hardware (NPU, GPU, CPU) to accelerate ML‑related computations.

Build systems to evaluate, optimize, and measure model performance.

Integrate and maintain ML systems within game engines and games.

Write unit tests and integration tests.

Collaborate with the data science team, specialized programmers (gameplay, AI, etc.), the research team, and other stakeholders such as production teams.

Write clear and structured code that meets performance, maintainability, modularity, scalability, and compatibility requirements.

Other responsibilities

Create proof‑of‑concepts, which may involve model training, fine‑tuning, and experimenting with different techniques and architectures.

Suggest improvements when needed by designing and implementing new systems or enhancing existing ones.

Conduct research to stay up to date with the latest advancements.

Prepare documentation, presentations, and knowledge‑sharing materials to communicate complex AI concepts to both technical and non‑technical collaborators.

Qualifications

Education:

  • Bachelor’s degree in computer science or computer engineering or equivalent.
  • A master’s degree in Machine Learning or any other relevant field is a strong asset.

Minimum 10 years of experience in C++ programming.

Minimum 5 years of experience in AI/ML.

Core Skills
  • In‑depth knowledge of C++.
  • Strong architecture skills.
  • Good understanding of hardware to leverage multithreading and optimize memory management.
  • Solid knowledge of machine learning and deep learning fundamentals.
Other Skills
  • Proficiency in Python is an asset.
  • Experience working with game engines is an asset.
Additional Information

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more.

We believe diverse perspectives help both players and teams thrive.

If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

We embrace a hybrid work model helping you stay connected with your team and aligned with business priorities, while giving you the opportunity to maintain your work‑life balance.

Note, that some roles are fully office‑based and are not eligible for hybrid work.

We do not accept open applications. You can find all our open positions by clicking on the ‘Search Jobs’ button. Check our careers page regularly if you don’t find the opportunity you are looking for this time.

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