Research Engineer – Machine Learning

Huawei Technologies Canada Co., Ltd.; Ontario; On-site; CAD 80,000 - 120,000; Full time

Job summary

An innovative company is seeking a Research Engineer to join their Human-Machine Interaction Lab. This role emphasizes designing and optimizing Machine Learning models, ensuring on-device efficiency and performance. Candidates should have a strong background in Machine Learning, with proficiency in frameworks like TensorFlow and PyTorch. The ideal candidate will have a Ph.D. or Master's degree and at least three years of relevant experience. This is a unique opportunity to contribute to cutting-edge research and develop novel interactive systems that enhance user experiences with technology.

Qualifications

• 3+ years of experience in Machine Learning research and development.
• Strong portfolio of applied projects or publications in the field.

Responsibilities

• Design, develop, and optimize Machine Learning models for on-device performance.
• Deploy models to production and manage data pipelines for training.

Skills

Machine Learning

TensorFlow

PyTorch

NLP

Data Processing

Feature Engineering

Education

Ph.D. in Computer Science

Master's in Machine Learning

Tools

scikit-learn

Keras

Job description

Huawei Canada has an immediate12-month contractopening for a Research Engineer.

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 Machine Learning models, emphasizing on-device performance and efficiency

• Implement 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, Machine Learning, NLP, or a related field with a focus on Machine Learning

• Minimum 3 years of Machine Learning research and development experience, with a strong portfolio of applied projects or publications

• Proficiency in Machine Learning frameworks (e.g., TensorFlow, PyTorch)

• On-device model deployment experience is highly valued

• Experience contributing to relevant open-source projects is an asset

• Experience building commercial agent/conversational systems is an asset