Senior Researcher - Embodied AI
- Salary
- Not stated
- Level
- Senior
- Work type
- On-site · Markham
- Visa
- Not stated
Open. First seen 3 October 2026.
The team: Noah's Ark Laboratory HIRES STEADILY
This role is one of 30 open in Noah's Ark Laboratory. 2 were posted in the last 30 days and the oldest in January: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
LLM (27 of 30), Python (25 of 30), PyTorch (23 of 30), Computer Vision (22 of 30), NLP (21 of 30), Deep Learning (20 of 30), Machine Learning (20 of 30)
OTHER ROLES ON THIS TEAM
- Researcher - Technology Strategist - Physical AI posted Oct 15
- Intern Researcher- Audio, Speech & Acoustic AI posted Oct 13
- Researcher - Physical AI posted Sep 10
- Researcher-AI Agents posted Sep 9
- Co-op Researcher – Agentic AI posted Aug 27
- Co-op Researcher - Machine Learning, Speech & Audio AI posted Aug 21
- Co-op Researcher - Physical AI posted Aug 21
- Co-op Engineer - Machine Learning and AI Infrastructure posted Aug 21
- Researcher - Speech & Acoustic AI posted Aug 10
- Intern Researcher - Agentic AI posted Jul 7
- Intern Researcher - Embodied AI posted Jun 23
- Co-op Engineer - AI Software Engineering posted Jun 17
- Co-op Engineer-Mobile AI posted May 8
- Intern Researcher - Physical AI posted May 8
- Intern Researcher - LLMs Agentic AI and RL posted May 8
- Machine Learning Researcher -LLM Agents & Efficient Deep Learning posted May 5
- Chief Scientist - Physical AI posted Apr 23
- Chief Scientist - Physical AI posted Apr 23
- Senior Principal Researcher - AI Algorithm posted Apr 20
- Senior Researcher - AI Agent posted Apr 20
- Senior Researcher - Physical AI posted Apr 17
- Researcher – AI for Scientific Algorithm Discovery posted Apr 2
- Co-op Researcher – Computer Vision and Machine Learning posted Jan 12
- Co-op Researcher-AI for Autonomous Driving & Multimodal Learning posted Oct 29
- Co-op Researcher-Computer Vision and Machine Learning posted Sep 4
- Co-op Researcher-Computer Vision and Machine Learning posted Sep 4
- Co-op Researcher - Machine Learning and Computer Vision posted Sep 4
- Co-op Researcher - Embodied AI Agent (Robotic) posted May 1
- Intern Researcher - Embodied AI posted Jan 17
From the team and dates on huaweicanada's own job board.
About the role
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.
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