Senior C++ Programmer - Machine Learning

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

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. 

Qualifications

What you bring

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.  

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.  

• 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.