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Research Engineer - Large Language Models

Huawei

Markham

On-site

CAD 80,000 - 100,000

Full time

30+ days ago

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Job summary

An innovative firm is seeking a Research Engineer to join their Human-Machine Interaction Lab. This role involves conducting cutting-edge research in natural language processing and developing advanced LLMs to enhance user experiences. The ideal candidate will have a strong academic background, substantial experience in LLM research, and proficiency in Python and machine learning frameworks. Collaborating with a diverse team, you will contribute to groundbreaking projects that redefine human-computer interaction. This is a unique opportunity to work at the forefront of technology and make a significant impact in the field.

Qualifications

  • 3+ years of experience in LLM research and development with a strong portfolio.
  • Expertise in building and deploying large-scale LLMs using PyTorch or TensorFlow.

Responsibilities

  • Conduct R&D of advanced LLMs and NLP algorithms for enhanced language capabilities.
  • Collaborate with teams to implement LLM-driven solutions into production systems.

Skills

Research and Development
Natural Language Processing (NLP)
Large Language Models (LLMs)
Python
Data Handling
Machine Learning
Java
C++

Education

Ph.D. in Computer Science
Master's in Machine Learning

Tools

PyTorch
TensorFlow

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:

  • 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.
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