Huawei Canada has an immediate 12-month contract opening for a Researcher.
About the team:
The Software-Hardware System Optimization Lab continuously improves the power efficiency and performance of smartphone products through software-hardware systems optimization and architecture innovation. We keep tracking the trends of cutting-edge technologies, building the competitive strength of mobile AI, graphics, multimedia, and software architecture for mobile phone products.
About the job:
Continuous Research Surveillance: Actively monitor, identify, and track significant advancements, breakthroughs, and trends in reinforcement learning and related fields (e.g., deep learning, robotics, game theory).
Critical Analysis & Synthesis: Deeply analyze research papers, comprehending the theoretical underpinnings, empirical results, and potential limitations of novel algorithms and architectures.
Insight Reporting: Author and present clear, concise, and regular insight reports, technical summaries, and literature reviews for both technical and non-technical audiences.
Strategic Guidance: Translate research findings into strategic recommendations, highlighting opportunities, risks, and potential new research directions for our internal teams.
Knowledge Dissemination: Act as an internal subject matter expert, fostering a culture of learning by sharing findings through presentations, internal wikis, and direct collaboration with research scientists and engineers.
Requirements
About the ideal candidate:
A PhD or MSc in Computer Science, Electrical Engineering, Statistics, or a related field with a focus on Reinforcement Learning or Machine Learning. Demonstrated ability to translate complex theoretical ideas into clean, efficient, and scalable code.
Experience in specialized areas of RL such as offline RL, multi-agent RL (MARL), imitation learning, or model-based RL.
Proven experience with RL to solve real-world problems.