Engineer - Reinforcement Learning

Huawei Canada; Southwestern Ontario; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading technology company in Southwestern Ontario is seeking an Engineer for a 12-month contract. The role involves designing and developing Reinforcement Learning solutions and mentoring junior team members. The ideal candidate has a master's or PhD in a relevant field, at least 3 years of experience in Reinforcement Learning, and proficiency in Python. This position offers a chance to collaborate with external partners and contribute to innovative research applications.

Qualifications

• 3+ years of experience in research or industry roles related to Reinforcement Learning.
• Familiar with state-of-the-art Reinforcement Learning algorithms.
• Proven track record of publications in relevant AI venues.

Responsibilities

• Design and develop Reinforcement Learning solutions for self-adaptive systems.
• Mentor and guide junior team members for their growth.
• Develop collaboration with external partners to foster innovation.

Skills

Reinforcement Learning

Python prototyping

AI system design

Cross-functional collaboration

Education

MS or PhD in Computer Science, Software Engineering, Robotics, or AI

Job description

Huawei Canada has an immediate 12-month contract opening for an Engineer.

About the team:

The Intelligent Complex Systems Team, currently a part of the Waterloo Research Centre, examines recent advancements in artificial intelligence (AI) and robotics to determine its potential for broader applications. This innovative team researches AI challenges such as matching human capabilities and ensuring the safety of collaborative AI systems.

About the job:

• Design and develop Reinforcement Learning solutions for self-adaptive systems to go beyond what current AI-based applications can do
• Proactively engage in research activities and identify new opportunities for research; present research findings and progress updates to team members and stakeholders, as well as work with cross-functional teams to integrate them into practical applications
• Work cross-functionally to set the broader strategy and roadmap
• Mentor and guide junior team members to support their growth and development.
• Develop collaboration with external partners and research institutions to foster innovation and expand the reach of our research

Job requirements

About the ideal candidate:

• MS or PhD in Computer Science, Software Engineering, Robotics, or Artificial Intelligence with a strong focus on Reinforcement Learning and AI system design
• 3+ years of experience in research or industry roles related to Reinforcement Learning
• Knowledge of applications of Reinforcement Learning at Runtime leveraging operational data and feedback from the environment
• Familiar with state-of-the-art Reinforcement Learning algorithms
• Proficiency in Python prototyping
• Industry experience with exploration of various Reinforcing Learning technologies for different domains (e.g., automotive, robotics)
• Research or design experience developing self-adaptive systems or Online/Continual Reinforcement Learning-based systems
• Proven track record of publications in relevant AI, SE, or RE venues