About the role
Huawei Canada has an immediate permanent opening for a Senior Researcher. About the team: The Human-Machine Interaction Lab unites global talents to redefine the relationship between humans and technology. Focused on innovation and user-centered design, the lab strives to advance human-computer interaction research. Our team includes researchers, engineers, and designers collaborating across disciplines to develop novel interactive systems, sensing technologies, wearable and IoT systems, human factors, computer vision, and multimodal interfaces. Through high-impact products and cutting-edge research, we aim to enhance user experiences and interactions with technology.
About the job:
- Design, develop, train, evaluate, and optimize Computer Vision and Machine Learning models, emphasizing on-device performance and efficiency
- Implement Computer Vision and Machine Learning algorithms from scratch or leverage existing libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras)
- Choose appropriate algorithms and techniques based on problem requirements, data characteristics, and business needs
- Enhance model performance through feature engineering, selection, and transformation
- Manage and process large datasets, including cleaning, pre-processing, and transformation
- Build and maintain data pipelines for model training and inference
- Work with data engineers to ensure data quality, availability, and scalability
- Deploy Machine Learning models to production environments and maintain model retraining and versioning strategies
Job requirements
About the ideal candidate:
- Ph.D. or Master's degree in Computer Science or a related field with a focus on Computer Vision and Machine Learning
- Minimum 3 years of Computer Vision and Machine Learning research and development experience, with a strong portfolio of applied projects or publications
- Proficiency in Computer Vision and Machine Learning frameworks (e.g., TensorFlow, PyTorch)
- On-device model deployment experience is an asset
- Experience contributing to relevant open-source projects is an asset
- Experience building commercial agent/conversational systems is an asset
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
Huawei Canada has an immediate permanent opening for a Senior Researcher. About the team: The Human-Machine Interaction Lab unites global talents to redefine the relationship between humans and technology. Focused on innovation and user-centered design, the lab strives to advance human-computer interaction research. Our team includes researchers, engineers, and designers collaborating across disciplines to develop novel interactive systems, sensing technologies, wearable and IoT systems, human factors, computer vision, and multimodal interfaces. Through high-impact products and cutting-edge research, we aim to enhance user experiences and interactions with technology.
About the job:
- Design, develop, train, evaluate, and optimize Computer Vision and Machine Learning models, emphasizing on-device performance and efficiency
- Implement Computer Vision and Machine Learning algorithms from scratch or leverage existing libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras)
- Choose appropriate algorithms and techniques based on problem requirements, data characteristics, and business needs
- Enhance model performance through feature engineering, selection, and transformation
- Manage and process large datasets, including cleaning, pre-processing, and transformation
- Build and maintain data pipelines for model training and inference
- Work with data engineers to ensure data quality, availability, and scalability
- Deploy Machine Learning models to production environments and maintain model retraining and versioning strategies
Job requirements
About the ideal candidate:
- Ph.D. or Master's degree in Computer Science or a related field with a focus on Computer Vision and Machine Learning
- Minimum 3 years of Computer Vision and Machine Learning research and development experience, with a strong portfolio of applied projects or publications
- Proficiency in Computer Vision and Machine Learning frameworks (e.g., TensorFlow, PyTorch)
- On-device model deployment experience is an asset
- Experience contributing to relevant open-source projects is an asset
- Experience building commercial agent/conversational systems is an asset
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.