Intern Researcher - Physical AI

Huawei Canada

Markham

On-site

CAD 58,000 - 104,000

Full time

14 days+

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Job summary

Huawei Canada is seeking a Physical AI Researcher intern to join their innovative research team focused on AI advancements. This role involves developing algorithms, writing research papers, and participating in cutting-edge projects in AI. Candidates should be pursuing a Master’s or PhD in relevant fields and possess a strong background in generative AI. Competitive annual compensation ranges from $58,000 to $104,000 based on experience and education, with a commitment to an inclusive hiring process.

Qualifications

  • Currently pursuing a Master’s or PhD degree in a relevant field.
  • Strong background in generative AI and sequence modeling.
  • At least one first-author paper in top-tier AI conferences.

Responsibilities

  • Participate in Embodied AI and Spatial AI research projects.
  • Implement algorithms and models, working with the team.
  • Write research papers and submit them to top-tier conferences.

Skills

Generative AI
Sequence modeling
Research paper publication
Python
Deep learning frameworks
Robotics systems
3D perception
Reinforcement learning

Education

Master’s or PhD in Computer Science, Robotics, Electrical Engineering

Tools

PyTorch
TensorFlow
ROS

Job description

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.


Job requirements


  • 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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