Posting record
Open 13+ days
- Already up when Ghostless started watching Huawei Canada
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Huawei Canada, so its true age is longer.
Last checked Nov 3, 2026.
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Upload your resumeWhat the posting discloses
- Pay
- $58k to $104k a year CAD
The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise. (quoted from the posting)
- AI screening
- No AI screening
All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates. (quoted from the posting)
Not stated: Real vacancy.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Skills mentioned
About the role
Huawei Canada has an immediate 6-12 months internship opening for an Intern Researcher.
About the team
The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications. One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.
About the job
- Develop and optimize RL post-training pipelines for LLMs (e.g., GRPO, reward modeling).
- Conduct experiments to improve model performance, reasoning, and alignment.
- Build scalable training, evaluation, and data generation systems.
- Collaborate with researchers and engineers on cutting-edge LLM projects
- Stay current with advancements in RL, LLMs, and post-training research.
The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate
- Enrolled as Master or Ph.D. student in Computer Science, AI, or related field.
- Strong background in machine learning, reinforcement learning, and deep learning. Familiarity with Large Language Models, transformer architectures, and post-training methods.
- Proficiency in Python, PyTorch, and LLM frameworks.
- Hands-on experience with LLMs and RL training algorithms (e.g., GRPO) is an asset.
- Familiarity with RL frameworks, such as VeRL.
- Experience with open-source LLM frameworks such as Hugging Face, DeepSpeed, vLLM, or SGLang is an asset.
- Knowledge of domain-specific languages used with AI accelerators.
- Experience with distributed training frameworks, large-scale experimentation, or LLM infrastructure is an asset.
- Strong problem-solving and communication skills
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.
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