Intern Researcher - Physical AI
- 19 Allstate Parkway, Markham, ON, L3R 5B4, Canada
The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise. · Internship
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Job details
- Pay
- The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
- Job type
- Internship
- Posting language
- English
- Posted
Original 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.
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.
More about this job
Responsibilities
Participate in Embodied and Spatial AI research projects by implementing algorithms and deploying them into internal products. Conduct literature reviews, write scientific reports, and submit research papers to top-tier conferences.
Requirements
Candidates must be pursuing a Master's or PhD in Computer Science, Robotics, or Electrical Engineering with a proven research record in top-tier AI venues. Proficiency in Python and deep learning frameworks, along with experience in robotics or multimodal systems, is required.
Skills
- Generative AI
- Sequence Modeling
- Vision-Language Systems
- Multimodal AI
- Python
- PyTorch
- TensorFlow
- Robotics Systems
- Decision-making
- Planning and Control
- ROS
- 3D Perception
- Motion Planning
- Reinforcement Learning
- Imitation Learning
- Diffusion Models
Visa sponsorship
Not detected in the job text
Categories
- Science & Research
- Technology
- Engineering
- Software
- Data & Analytics
Keywords
- Physical AI
- Embodied AI
- Spatial AI
- LLMs
- Reinforcement Learning
- NLP
- Computer Vision
- Autonomous Driving
- PyTorch
- TensorFlow
- ROS
- 3D Perception
- Motion Planning
- Imitation Learning
- Diffusion Models
- Transformer-based Architectures
- Multimodal AI
- NeurIPS
- ICML
- ICLR
- CVPR
- ICCV
- ECCV
- ICRA
- Sequence Modeling
- Generative AI