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Co-op Researcher - Efficient Fundation Model
Co-op Researcher - Efficient Fundation ModelHuawei • Markham, York Region, CA
Co-op Researcher - Efficient Fundation Model

Co-op Researcher - Efficient Fundation Model

Huawei • Markham, York Region, CA
30+ days ago
Job type
  • Full-time
Job description

Overview

Huawei Canada has an immediate 8 / 12 / 16-month Co-op opening for Researcher.

About the team

The Noah’s Ark lab, founded in 2012, is a prominent research organization with achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. It aims to enhance state-of-the-art research while integrating innovations into the companys products and services, including LLMs, RL, NLP, computer vision, AI theory, and autonomous driving.

Responsibilities

Support development of efficient LLM methods, such as quantization, pruning, distillation, or speculative decoding.

Run experiments to evaluate model compression and acceleration techniques.

Implement and test ideas in Python (PyTorch is an asset).

Collaborate with team members to debug, analyze results, and share findings.

About the ideal candidate

Currently enrolled in an undergraduate or master’s program in Computer Science, Engineering, or a related field.

Familiarity with machine learning or deep learning basics (coursework or projects).

Strong programming skills in Python.

Willingness to learn new tools, frameworks, and concepts quickly.

Experience with PyTorch or TensorFlow.

Previous coursework or projects related to neural networks or natural language processing.

Interest in model optimization, GPU computing, or large-scale AI systems.

Experience with research projects in efficient ML / LLM, demonstrated through publications, open-source contributions, or projects.

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Researcher Efficient • Markham, York Region, CA

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