Research Engineer - Large Language Models

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.
  

Requirements

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.