About the role
Our team has an immediate 12-month co-op opening for an Engineer. About the team: Established in 2014, the Distributed Scheduling and Data Engine Lab is Huawei Cloud's technical innovation center in Canada. The lab focuses on researching and developing advanced cloud technologies, supporting the productization and iterative optimization of its technical achievements. Current research areas include cloud native databases, infrastructure resource scheduling and prediction, cloud-native middleware, media engines, and user experience studies. The lab fosters a robust technical environment, allowing collaboration with industry experts to create a highly competitive cloud platform.
About the role:
- Support preparation and augmentation of datasets for training deep learning models, ensuring data quality and relevance.
- Develop, test, and deploy AI modules and prototypes using Python.
- Assist with research and experimentation on emerging AI techniques and technologies (e.g., LLMs, agentic AI, NLP).
- Collaborate closely with team members to align on project goals, share insights, and contribute to an agile development process.
Job requirements
About the ideal candidate:
- Currently enrolled in a university and participating in the school's co-op program (undergrad degree).
- Strong foundation in algorithms, data structures, and object-oriented programming, with proficiency in Python (knowledge of R or Java is a plus).
- Familiarity with ML and data analysis tools/libraries such as NumPy, Pandas, Matplotlib, and scikit-learn, along with basic understanding of statistics.
- Exposure to deep learning concepts and frameworks, preferably PyTorch, and an interest in applying them to NLP or generative AI tasks.
- Curiosity about NLP methods (NLU, NLG, transformers) and experience with libraries such as SpaCy or NLTK is a plus.
- Interest in generative AI tools and techniques, including Large Language Models (LLMs), prompt engineering, and LLM-based AI agents.
- Familiarity with (or willingness to learn about) cloud platforms and integration services such as Azure Logic Apps.
- Passionate about learning and experimenting with new AI technologies, and able to work independently while contributing as a collaborative team member.
About Huawei Canada
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world.
In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.
About the role
Our team has an immediate 12-month co-op opening for an Engineer. About the team: Established in 2014, the Distributed Scheduling and Data Engine Lab is Huawei Cloud's technical innovation center in Canada. The lab focuses on researching and developing advanced cloud technologies, supporting the productization and iterative optimization of its technical achievements. Current research areas include cloud native databases, infrastructure resource scheduling and prediction, cloud-native middleware, media engines, and user experience studies. The lab fosters a robust technical environment, allowing collaboration with industry experts to create a highly competitive cloud platform.
About the role:
- Support preparation and augmentation of datasets for training deep learning models, ensuring data quality and relevance.
- Develop, test, and deploy AI modules and prototypes using Python.
- Assist with research and experimentation on emerging AI techniques and technologies (e.g., LLMs, agentic AI, NLP).
- Collaborate closely with team members to align on project goals, share insights, and contribute to an agile development process.
Job requirements
About the ideal candidate:
- Currently enrolled in a university and participating in the school's co-op program (undergrad degree).
- Strong foundation in algorithms, data structures, and object-oriented programming, with proficiency in Python (knowledge of R or Java is a plus).
- Familiarity with ML and data analysis tools/libraries such as NumPy, Pandas, Matplotlib, and scikit-learn, along with basic understanding of statistics.
- Exposure to deep learning concepts and frameworks, preferably PyTorch, and an interest in applying them to NLP or generative AI tasks.
- Curiosity about NLP methods (NLU, NLG, transformers) and experience with libraries such as SpaCy or NLTK is a plus.
- Interest in generative AI tools and techniques, including Large Language Models (LLMs), prompt engineering, and LLM-based AI agents.
- Familiarity with (or willingness to learn about) cloud platforms and integration services such as Azure Logic Apps.
- Passionate about learning and experimenting with new AI technologies, and able to work independently while contributing as a collaborative team member.
About Huawei Canada
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world.
In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.