Research Scientist

Job Description

Job Description

Position : Research Scientist (Computer Vision Applied AI) - Hybrid (Fulltime)

Location : Montreal, Quebec Office (Hybrid)

Type : Research Technology (R T)

About Us :

For our client, we’re hiring a curious and innovative& AI / Computer Vision Research Scientist to lead the discovery, development, and integration of advanced AI solutions in computer vision. You will work on cutting-edge problems such as robust vision models, frugal learning, and deployment of certifiable AI systems. The role involves creating PoCs, prototypes, and demonstrators to validate ideas and accelerate their adoption.

Key Responsibilities

• Conduct advanced research in AI and computer vision, focusing on areas like image and video processing, deep learning, and 3D perception to address complex real-world challenges.
• Design, implement, and optimize state-of-the-art models for computer vision tasks such as object detection, semantic segmentation, classification, tracking, and scene understanding using both conventional and deep learning approaches.
• Explore and develop frugal learning techniques, including few-shot and zero-shot learning, to build models that perform effectively with limited labeled data, ensuring scalability and generalization.
• Collaborate with engineering teams to build prototypes and transition research to production.
• Publish findings in top-tier journals / conferences ; contribute to patents and innovation.
• Work with academic / industry partners (e.g., NSERC, MITACS).
• Translate business needs into research roadmaps and system requirements.

Required Skills Experience (MUST HAVES)

PhD or Master’s in Computer Science, Electrical Engineering, or related field.

2–5 years of research in AI, robotics, autonomous systems, or related domains.

Strong in machine learning fundamentals, CNNs, Transformers, foundation models.

Proficient in Python, C++, PyTorch, TensorFlow, Scikit-learn, and OpenCV.

Experience with diverse sensing modalities : RGB, Infrared, LIDAR, RADAR, etc.

Solid understanding of experimentation, optimization, and model evaluation.

Publications in NeurIPS, CVPR, ICCV, ECCV, AAAI, or PAMI.