Research Engineer - Large Language Models

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

Job summary

An innovative firm is seeking a Research Engineer to join its Human-Machine Interaction Lab. This role focuses on enhancing language understanding through advanced research in LLMs and NLP algorithms. You will be part of a dynamic team dedicated to developing cutting-edge human-agent interaction systems. The ideal candidate will have a strong background in machine learning and a proven track record in LLM research, ready to contribute to impactful projects that redefine user experiences. If you are passionate about advancing technology and eager to collaborate with diverse talents, this position offers an exciting opportunity to make a significant impact.

Qualifications

• 3+ years of experience in LLM research and development.
• Expertise in building and deploying large-scale LLMs.

Responsibilities

• Conduct research on advanced LLMs and NLP algorithms.
• Design LLM architectures for scalability in human-computer interaction.

Skills

Large Language Models (LLMs)

Natural Language Processing (NLP)

Python

Machine Learning

Data Pre-processing

Java

C++

Education

Ph.D. in Computer Science

Master's in Computer Science

Tools

PyTorch

TensorFlow

Job description

Huawei Canada has an immediate 12-month contract opening 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:

• Conduct research and development of advanced LLMs and NLP algorithms, enhancing language understanding and generation capabilities.
• Design and optimize LLM architectures for scalability and efficiency in real-world applications, especially in human-computer interaction.
• Develop innovative Human-Agent interaction systems that leverage LLMs for more natural, adaptive, and contextually aware user experiences.
• Collaborate with cross-functional teams to implement LLM-driven solutions into interactive, production-level systems.
• Research and develop novel dialogue management frameworks that support mixed-initiative conversations between humans and AI agents.
• Stay updated on the latest advancements in LLMs, NLP, and related AI fields.
• Contribute to the research community through patents, publications, and participation in industry conferences.

About the ideal candidate:

• Ph.D. or Master's in Computer Science, Machine Learning, NLP, or a closely related field with a focus on LLMs.
• Minimum of 3 years of experience in LLM research and development, with a robust portfolio of applied projects or publications.
• Expertise in building, fine-tuning, and deploying large-scale LLMs using frameworks like PyTorch or TensorFlow.
• Proficiency in Python and familiarity with additional programming languages like Java or C++.
• Proven experience in handling large datasets, data pre-processing pipelines, and optimizing model performance.
• Experience with contributing to relevant open-source projects is an asset.
• Experience with building commercialized agent/conversational systems is an asset.