ML Engineer: RL, Recommender Systems & Multimodal AI

Huawei Technologies Canada Co., Ltd.; Edmonton; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading technology company in Canada is seeking an Engineer for a 12-month contract. The role involves designing and building scalable infrastructure for machine learning and reinforcement learning systems, collaborating with research teams, and developing efficient ML solutions. The ideal candidate has a Master's or PhD in Computer Science or related fields, strong Python programming skills, and proven research excellence. This position offers the opportunity to work with cutting-edge technologies and a commitment to an inclusive recruitment process.

Qualifications

• Excellent programming skills with strong software engineering practices.
• Demonstrated experience implementing RL algorithms beyond academic prototypes.
• Proven research excellence, including at least one publication in top-tier venues.

Responsibilities

• Design and build scalable infrastructure for ML systems.
• Develop efficient ML solutions for RL and Recommendation Systems.
• Conduct systematic benchmarking and validate in real-world environments.
• Collaborate with research teams to improve training capabilities.

Skills

Python programming

Reinforcement Learning

Deep Learning

Recommender Systems

Transformer-based architectures

Education

Master's or PhD in Computer Science, Machine Learning, or a related field

Tools

PyTorch

DeepSpeed

Job description

A leading technology company in Canada is seeking an Engineer for a 12-month contract. The role involves designing and building scalable infrastructure for machine learning and reinforcement learning systems, collaborating with research teams, and developing efficient ML solutions. The ideal candidate has a Master's or PhD in Computer Science or related fields, strong Python programming skills, and proven research excellence. This position offers the opportunity to work with cutting-edge technologies and a commitment to an inclusive recruitment process.