Research Scientist (Computer Vision & Applied AI) - Hybrid (Fulltime)

HireOn; Montreal; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a Research Scientist specializing in Computer Vision and Applied AI. In this hybrid role, you will tackle cutting-edge challenges in AI by developing advanced solutions for image and video processing. Your work will involve creating prototypes and publishing your findings in prestigious conferences. This position offers the chance to work alongside academic and industry leaders, contributing to groundbreaking research and development in the field. If you're passionate about pushing the boundaries of technology and making a real-world impact, this opportunity is perfect for you.

Qualifications

• PhD or Master’s in Computer Science, Electrical Engineering, or related field.
• 2–5 years of research in AI, robotics, or autonomous systems.

Responsibilities

• Conduct advanced research in AI and computer vision.
• Design and optimize models for object detection and scene understanding.
• Collaborate with engineering teams to transition research to production.

Skills

Machine Learning

Computer Vision

Deep Learning

Python

C++

PyTorch

TensorFlow

OpenCV

Education

PhD in Computer Science

Master’s in Electrical Engineering

Tools

Scikit-learn

LIDAR

RADAR

RGB and Infrared Sensors

Job description

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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 fundamentals in machine learning, CNNs, Transformers, foundation models.
• Proficient in Python, C++, PyTorch, TensorFlow, Scikit-learn, and OpenCV.
• Experience with sensing modalities: RGB, Infrared, LIDAR, RADAR, etc.
• Solid understanding of experimentation, optimization, and model evaluation.
• Publications in top-tier conferences/journals such as NeurIPS, CVPR, ICCV, ECCV, AAAI, or PAMI.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Other
• Industries: IT Services and IT Consulting