Huawei

Global ICT infrastructure and devices provider

Engineer – Machine Learning & Reinforcement Learning

Applied Machine LearningUpdated on Nov 13

Full-timeEdmonton, AB, CanadaNo salary listedIn-person

About the Job

Responsibilities

Design and build scalable infrastructure to support reinforcement learning, online search, recommendation systems, large model fine-tuning, and evaluation and deployment.
Develop efficient machine learning solutions for recommendation systems and reinforcement learning problems, including multi-armed and contextual bandits, tree search, and multi-agent system orchestration.
Implement and optimize deep learning architectures, including custom transformers for agentic and decision-making systems.
Apply search and optimization techniques to efficiently fine-tune reinforcement learning and machine learning models.
Work with large multimodal models, including large language models and vision-language models, analyze their components, and fine-tune them for task-specific applications.
Conduct systematic benchmarking, read new papers, and perform experimentation and validation in simulation and real-world product environments.
Collaborate with research teams to scale online reinforcement learning training capabilities and improve system robustness and accuracy.
Explore and integrate emerging artificial intelligence methodologies and tools into production platforms.

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

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:

Design and build scalable infrastructure to support Reinforcement Learning, Online Search, Recommendation Systems, large model fine-tuning and evaluation/deployment.
Develop efficient ML solutions for Recommendation Systems and RL problems, including Multi-Armed and Contextual Bandit, Tree Search, and Multi-Agent system orchestration.
Implement and optimize deep learning architectures, including custom Transformers for agentic and decision-making systems.
Apply search and optimization techniques to efficiently fine-tune RL and ML models.
Work with large multimodal models (LLMs, VLMs), analyze their components, and fine-tune them for task-specific applications.
Conduct systematic benchmarking, new papers reading, experimentation, and validation in both simulation and real-world product environments.
Collaborate closely with research teams to scale online RL training capabilities and improve system robustness and accuracy.
Explore and integrate emerging AI methodologies and tools into production platforms.

About the Company

Huawei

Global ICT infrastructure and devices provider

Huawei designs and sells ICT infrastructure, devices, and cloud services for telecom operators, enterprises, and consumers. Its products span telecom networks, IT infrastructure, smart devices, and cloud offerings, and they operate globally in more than 170 countries. Huawei’s technology works by combining hardware and software across networking gear, servers, consumer electronics, and cloud platforms, enabling connectivity, data processing, and smart solutions for businesses and homes, with a focus on secure, open collaboration with ecosystem partners. Differences from competitors come from its large scale, employee ownership structure, extensive R&D investment, and broad end-to-end solutions that integrate networks, IT, devices, and cloud. The company aims to empower people, enrich home life, and drive organizational innovation by delivering value through collaboration, advanced technologies, and customer-focused services.

Company size: 10,001+
Company stage: Debt Financing
Total funding: $2.4B
Headquarters: Shenzhen, China
Founded: 1987

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