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Huawei Canada

Intern Researcher - Physical AI

  • Seen live on Huawei Canada's site yesterday
  • Intern / co-op
Pay
$58k to $104k a year CAD
Location
Markham, Ontario, Canada
Open for
13+ days
First seen
Oct 22, 2026
Apply on Huawei Canada's site (opens in a new tab)

Posting record

No flags

Open 13+ days

The posting's record, oldest first
  1. Already up when Ghostless started watching Huawei Canada
  2. 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.

How well do you match?

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What it asks of you

Must be a current student
“Currently pursuing a Master’s or PhD degree in Computer Science, Robotics, Electrical Engineering, or related fields” (quoted from the posting)
PhD asked for
“Currently pursuing a Master’s or PhD degree in Computer Science, Robotics, Electrical Engineering, or related fields” (quoted from the posting)

What the posting discloses

Pay
$58k to $104k a year CAD
The total target annual compensation for this position 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 internship opening for a Physical AI 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

  • Participate in the innovative Embodied AI and Spatial AI research project.
  • Implement algorithms for proposed models and applications, deploy into internal product; work closely with researchers in the team.
  • Keep up-to-date on selected areas of ML and write scientific reports.
  • Stay informed about AI industry trends, identifying new opportunities, and assessing gaps within our organization; applying these insights to technology planning and decision-making, while exploring novel technological sources to enhance our competitive edge. Produce insight reports for the literature including the latest trends.
  • Keep up-to-date on selected areas of ML (such as embodied AI, LLMs reasoning)
  • Write research papers.
  • Submit manuscripts to top-tier conferences and file high-value patents.

The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate

  • Currently pursuing a Master’s or PhD degree in Computer Science, Robotics, Electrical Engineering, or related fields
  • Strong background in generative AI and sequence modeling, particularly in vision-language or multimodal systems.
  • Proven research record in AI by having at least one paper as the first author in top tier venues, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA.
  • Proficient in Python and experienced with modern deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Hands-on experience with robotics systems, including decision-making, planning, and control; experience with real robots or ROS is an asset.
  • Understanding of 3D perception, motion planning, reinforcement learning, or multimodal AI is an asset
  • Experience working with large-scale datasets, sensor data, transformer-based architectures, or diffusion models is an asset.
  • Familiarity with reinforcement learning and/or imitation learning methods is an asset.

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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