Senior Researcher – ML & CV

Huawei Technologies Canada Co., Ltd.; Markham; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading technology company in York Region is seeking a Senior Researcher to join the Human-Machine Interaction Lab. The role involves designing and optimizing computer vision and machine learning models, implementing algorithms, and managing large datasets. Ideal candidates hold an advanced degree in Computer Science and have at least three years of relevant experience, particularly with TensorFlow and PyTorch. This role offers an opportunity to collaborate on innovative products that enhance user experiences.

Qualifications

• 3 years of experience in Computer Vision and Machine Learning research and development.
• Strong portfolio of applied projects or publications.
• On-device model deployment experience is an asset.

Responsibilities

• Design and deploy Computer Vision and Machine Learning models.
• Implement algorithms from scratch or leverage existing frameworks.
• Manage and process large datasets for model training.

Skills

Computer Vision

Machine Learning

TensorFlow

PyTorch

Data Processing

Education

Ph.D. or Master's degree in Computer Science

Tools

scikit-learn

Keras

Job description

Huawei Canada has an immediatepermanent 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

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