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Day 42
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Montreal, QC, Canada
Live, first seen by us 42 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Develop, integrate, and maintain inference engines, ML libraries, and frameworks.
Create proof-of-concepts, which may involve model training, fine-tuning, and experimenting with different techniques and architectures.
Build systems to evaluate, optimize, and measure model performance.
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.
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.
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.
Minimum 10 years of experience in C++ programming.
Minimum 5 years of experience in AI/ML.
Solid knowledge of machine learning and deep learning fundamentals.
Bachelor’s degree in computer science or computer engineering or equivalent.
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.
- 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. Relevant Experience:
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Day 42
Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
14 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Job Description We are looking for a Senior C++ Programmer to play a key role in building cutting-edge applications powered by Machine Learning. The role of the senior C++ Programmer with experience in AI/ML is to bring best practices and robust design principles, helping us deliver on an ambitious and innovative roadmap. What you'll do
Relevant Experience: - Minimum 10 years of experience in C++ programming. - Minimum 5 years of experience in AI/ML.
Core Skills: - In-depth knowledge of C++ required. - Strong architecture skills.
Other Skills: - Proficiency in Python is an asset. - Experience working with game engines is an asset.
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
We are looking for a Senior C++ Programmer to play a key role in building cutting-edge applications powered by Machine Learning. The role of the senior C++ Programmer with experience in AI/ML is to bring best practices and robust design principles, helping us deliver on an ambitious and innovative roadmap.
What you'll do
Main responsibilities:
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.
What you bring
Education:
Relevant Experience:
Core Skills:
In-depth knowledge of C++ required.
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.
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 create the unknown!
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Montreal, QC, Canada
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