Senior Researcher - Embodied AI
Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026 At a glance
Senior AI Research role at Huawei Technologies Canada Co., Ltd. Markham · full-time · no salary stated · we estimate CA$151,100–CA$175,975 across Canada.
Huawei Technologies Canada Co., Ltd. has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Develop new methods for embodied AI, including foundation models, reasoning, planning, data generation and low-level control
- Turn mathematical problem definitions and model specifications into efficient, working code
- Test your approaches on robotic platforms in simulation and real-world settings
- Propose patentable ideas and publish or contribute to papers at leading AI research venues
What you bring
- A doctorate in computer science or a related area, or a master's degree backed by comparable experience
- Research experience in sequence analysis and generative AI, especially for vision and language
- At least one first-author AI paper at a leading venue such as NeurIPS, ICML or another listed venue
- Proficiency in Python and experience with a major deep learning framework such as PyTorch or TensorFlow
Who this fits
This senior research role suits someone keen to work on embodied AI alongside experienced researchers. The position is based on-site in Markham, Canada.
From the employer
Huawei Canada has an immediate permanent opening for a Senior 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:
Working closely with a team of experienced researchers to solve real world challenges in the domain of Embodied AI.
Developing state-of-the-art approaches for Embodied AI applications. Directions include, but not limited to, generative AI, representation learning, foundation models, reasoning, planning, data generation and augmentation, reinforcement learning, and low-level control.
Translating mathematical problem definitions and model/solution specifications into efficient executable code.
Conducting evaluation and empirical studies using robotic platforms in both simulation and real-world.
Proposing high-impact intellectual properties (e.g., patents), and publishing or contributing to research papers in top-tier AI venues.
About the ideal candidate:
PhD degree in Computer Science or related fields or master's degree with comparable experience.
Prior experience in sequence analysis and generative AI, in particular vision and language.
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.
Proficiency in Python programming language.
Experience with one or more mainstream deep learning frameworks e.g. PyTorch, TensorFlow.
Experience in robotics applications, in particular decision-making, planning and control, or experience with real robot and ROS is an asset.
Experience with using large-scale datasets and sensor data, or with use of various transformer architectures and diffusion models is an asset.
Experience with imitation and reinforcement learning algorithms is an asset.