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.
