Machine Learning Researcher -LLM Agents & Efficient Deep Learning

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  • Huaweicanada
  • Montreal, QC
  • Full-Time
  • 1 week ago
  • $106,000 - $156,000
Published
May 5, 2026
Location
Montreal, Canada
Category
Job Type

Machine Learning Researcher -LLM Agents & Efficient Deep Learning: our view in 3 lines...

  • The Role: A researcher role for developing and optimizing large language models, efficient training and inference methods, and multi-agent/SLM systems in an AI research lab.
  • The Person: Design, prototype, and evaluate methods for efficient training and inference of LLMs/SLMs, build scalable training and deployment pipelines, and integrate reasoning models with tool-use frameworks.
  • Requirements: MSc or PhD, strong publication record, deep learning and optimization background, experience with transformer architectures, LLM and SLM, and proficiency in Pytorch.

Job Description

Huawei Canada has an immediate 12months opening for a Machine Learning Researcher.

About the Team:

Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.

About the Job:

  • multi-agent systems, and function call models. Build scalable SLM pipelines for training, evaluation, and deployment.

  • Develop methods for efficient training and inference, including: Quantization (e.g., low-precision formats, INT8/FP8); Pruning and sparsity; Low-rank  and tensor decompositions

  • Explore advances in: Parameter-efficient fine-tuning such as LoRA; Memory and long-context modeling; Adapt GPU-based LLMs for CPU-based SLMs.

  • Prototype new ideas and validate them through rigorous experimentation

  • Optimize inference performance (latency, throughput, KV-cache efficiency)

  • Integrate reasoning models with tool-use frameworks (e.g., function calling, APIs)

The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.

  • MSc or PhD in Computer Science, Electrical Engineering, or related field

  • Strong publication record in top AI conferences such as NeurIPS, ICML, AAAI, ICLR, etc.

  • Strong background in deep learning and optimization

  • Experience with transformer architectures, LLM, SLM

  • Proficiency in Pytorch

  • Solid understanding of: Linear algebra and probability; Optimization algorithms (SGD, Adam, etc.)

  • Experience implementing and scaling ML systems in production or research settings.

Additional Information

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.

Key Skills
? Key Skills in dark blue have been inferred based on similar industry roles
Transformer Architectures Quantization (INT8/FP8) Model Pruning And Sparsity Low-rank And Tensor Decompositions Parameter-efficient Fine-tuning (lora) Large Language Models (llms) Experimental ML Research And Prototyping Machine Learning Deep Learning Computer Vision ML Pytorch LLM

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