Research Engineer – Machine Learning

Huawei; Markham; On-site; CAD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a Research Engineer to join their Human-Machine Interaction Lab. This role focuses on designing, developing, and optimizing Machine Learning models, ensuring they perform efficiently on devices. The ideal candidate will possess a strong background in Machine Learning, with proficiency in frameworks like TensorFlow and PyTorch. You will collaborate with a talented team to enhance user experiences through cutting-edge technology and contribute to impactful research. If you're passionate about advancing human-computer interaction and have a portfolio of applied projects, this opportunity is perfect for you.

Qualifications

• 3+ years of experience in Machine Learning research and development.
• Strong proficiency in ML frameworks and on-device deployment.

Responsibilities

• Design and optimize Machine Learning models for on-device performance.
• Manage large datasets and build data pipelines for training.

Skills

Machine Learning

Data Processing

Feature Engineering

Algorithm Development

NLP

Education

Ph.D. in Computer Science

Master's degree in Machine Learning

Tools

TensorFlow

PyTorch

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