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Researcher - Physical AI

huaweicanada · Montreal

New
Contrat Senior 🇬🇧 English
Python PyTorch TensorFlow ROS reinforcement learning imitation learning planning control diffusion models sensor data

Job description

About the role

Huawei Canada’s Noah’s Ark Laboratory is seeking a researcher to advance Physical AI, Embodied AI and Spatial AI. The 12‑month contract role involves bridging cutting‑edge research with real‑world robotic deployments.

Key responsibilities

  • Develop state‑of‑the‑art approaches for Physical AI, including robotic foundation models, world models, multimodal representation learning, reasoning, planning, imitation learning and reinforcement learning.
  • Translate problem formulations and model designs into efficient, production‑ready code and iterate rapidly through experiments.
  • Design and run experiments on both simulation and real‑world robotic platforms, handling data collection, evaluation and performance analysis.
  • Collaborate across research, infrastructure and robotics teams to close the loop between data, models and real‑world performance.
  • Contribute high‑impact research outputs such as patents and publications in top‑tier AI and robotics venues.

Required profile

  • PhD in Computer Science, Robotics or a related field (or Master’s with equivalent experience).
  • Strong background in generative AI and sequence modeling, especially vision‑language or multimodal systems.
  • Proven research track record with first‑author papers in top venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA).

Required skills

  • Proficient in Python and deep‑learning frameworks such as PyTorch or TensorFlow.
  • Hands‑on experience with robotics systems, including ROS, decision‑making, planning and low‑level control.
  • Experience with large‑scale datasets, sensor data, transformer‑based architectures and diffusion models.
  • Familiarity with reinforcement learning and/or imitation learning methods.

Questions fréquentes

Le salaire n'est pas communiqué publiquement par le recruteur. Vous pouvez postuler et négocier directement avec huaweicanada.
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Le contrat proposé est un Contrat basé à Montreal.
Source : ats:recruitee

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Published 18 hours ago

Expires 1 month from now

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huaweicanada

Montreal