Researcher – Computer Vision & Human-Centered AI
$106,000–$156,000 year
On-siteMarkham, Ontario, Canada
Job Summary
Conduct advanced research in computer vision focusing on 2D/3D scene understanding, tracking, and real-time reconstruction. Advance vision-centric perception pipelines and sensor fusion techniques to improve spatial awareness. Integrate vision foundation models and vision-language models with LLMs to build smart workflows that enhance human-AI collaboration. Optimize end-to-end vision pipelines from raw sensor data to real-time inference, balancing accuracy with hardware constraints like power, memory, and latency. Establish comprehensive evaluation frameworks to assess core algorithmic performance and human-centric user outcomes. Collaborate with engineering, hardware, and design teams to translate vision research into product-ready solutions and interactive prototypes. This 12-month contract offers a target annual compensation of $106,000 - $156,000 for a Master's or PhD candidate with 3+ years of applied R&D experience in computer vision for consumer electronics.
Required Qualifications
- Master's or PhD in Computer Science, Engineering, Robotics, or AI with a specialization in computer vision or visual perception (or equivalent industry R&D experience)
- 3+ years of applied R&D experience in computer vision for consumer electronics, robotics, or AR/VR, with a track record of contributing to shipped products
- Deep expertise in core computer vision techniques, including object detection, image segmentation, 3D vision, and multi-camera calibration
- Proficiency in vision-specific deep learning frameworks and edge deployment tools, with experience optimizing models for hardware acceleration
- Working fluency with modern AI/ML concepts, including Vision-Language Models, multimodal fusion, and agentic workflows
- Strong programming skills in C/C++ and Python, with experience in real-time video processing pipelines and embedded hardware prototyping
- Awareness of emerging computer vision trends with the ability to translate academic research into practical product opportunities
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