Agentic RL Researcher for Scalable Multi-Agent AI

Huawei Canada; Markham; On-site; CAD 106,000 - 156,000; Full time

Job summary

A leading technology company in Markham is seeking a Researcher to design and develop advanced reinforcement learning algorithms and scalable systems. Candidates should have an MS or PhD and expertise in RL, programming skills, and a proven track record in research or projects. The total target annual compensation for this role ranges from $106,000 to $156,000. Join us to contribute to groundbreaking projects in a collaborative environment.

Qualifications

• Strong expertise in multi-agent reinforcement learning in non-stationary environments.
• Experience in scalable RL training infrastructure.
• Demonstrated impact through research contributions.

Responsibilities

• Design and develop Agentic Reinforcement Learning and Multi-Agent Reinforcement Learning algorithms.
• Build scalable simulation and training platforms for agent systems.
• Collaborate with teams to deploy scalable agent systems.

Skills

Reinforcement learning algorithms

Multi-Agent Systems

Programming in Python

Programming in C++

Optimization methods

Education

MS or PhD in Computer Science or related field

Job description

A leading technology company in Markham is seeking a Researcher to design and develop advanced reinforcement learning algorithms and scalable systems. Candidates should have an MS or PhD and expertise in RL, programming skills, and a proven track record in research or projects. The total target annual compensation for this role ranges from $106,000 to $156,000. Join us to contribute to groundbreaking projects in a collaborative environment.