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Computer Vision Jobs in Quebec (NOW HIRING)

Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge * Optimize models ...

Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge * Optimize models ...

The Director of Computer Vision will drive the technical vision, research and engineering execution for the platform, with focus on the following core areas: * Foundational Research Strategy: Define ...

We're looking for a Senior Machine Learning Engineer with strong computer vision expertise to join our Biometrics team. You'll ramp up on the biometrics domain while contributing to the design ...

Computer Vision * Develop and deploy computer vision solutions for product classification, visual merchandising, and image-based retail applications. * Integrate multimodal vision capabilities into ...

Computer VisionDevelop and deploy computer vision solutions for product classification, visual merchandising, and image-based retail applications.Integrate multimodal vision capabilities into ...

Tu vois une opportunité d'automatiser un flow client avec des agents, tu montes la preuve de concept ; tu entends parler d'un cas de computer vision sur une chaîne de production, tu trouves comment ...

Computer vision et IoT en deuxieme : controle qualite physique, tri visuel automatise * Machine learning generaliste et recherche operationnelle de facon ponctuelle, quand le contexte client le ...

Mainframe Systems Batch and Console Operator Perform Computer Operation duties per documented ... Specific vision abilities required by this job include close vision and the ability to adjust focus.

Deep Learning, Computer Vision, Robotics, AI Infrastructure, Cloud Computing, Distributed Systems; Connaissance de l'environnement Linux, REST APIs, container infrastructures Docker/Kubernetes/Ranch)

Deep Learning, Computer Vision, Robotics, AI Infrastructure, Cloud Computing, Distributed Systems; * Connaissance de l'environnement Linux, REST APIs, container infrastructures Docker/Kubernetes ...

Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines What we're looking for * BS in Computer Science, Engineering, or a related field ...

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Computer Vision information

See Quebec salary details

$25K

$124.4K

$206.5K

How much do computer vision jobs pay per year?

As of Aug 5, 2026, the average yearly pay for computer vision in Quebec is $124,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What is a computer vision?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What does a computer vision professional do?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

What are the key skills and qualifications needed to thrive in computer vision?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

What are the most commonly searched types of Computer Vision jobs in Quebec? The most popular types of Computer Vision jobs in Quebec are:
What are popular job titles related to Computer Vision jobs in Quebec? For Computer Vision jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Computer Vision jobs in Quebec look for? The top searched job categories for Computer Vision jobs in Quebec are:
Infographic showing various Computer Vision job openings in Quebec as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $124,382 per year, or $59.8 per hour.

Computer Vision/ML Engineer

Norbert Health

Montreal, QC • On-site

Full-time

Re-posted 14 days ago


Job description

The company

Norbert is building autonomous robots that deliver healthcare.

Our AI sensing platform mounts on mobile robots and does the work of a care team memberrounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.

We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.

We're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.

The position

We are looking for our lead deep learning engineer to spearhead the development of our groundbreaking sensing technology.

What you will do:
  • Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge
  • Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton
  • Build and maintain MLOps pipelines for model training, validation, and performance monitoring
  • Develop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction
  • Establish engineering best practices and help reduce technical debt as we scale
  • Contribute to the architecture and implementation of the computer vision stack from research to production
What we look for:
  • Master's or PhD degree in Machine learning / Computer vision
  • Strong fundamentals: data structures, CV algorithms, and systems programming
  • Strong C++ skills - this is critical for our edge deployment pipeline
  • Solid Python proficiency for ML experimentation and tooling
  • Ability to work independently, solve complex problems, and drive projects to completion
  • 5+ years experience deploying computer vision models to production, ideally on resource-constrained devices
  • Experience with PyTorch and model optimization for edge AI
  • Proven ability to take models from research to production on embedded hardware

Nice to haves:

  • Experience with NVIDIA Jetson platform, TensorRT, or Triton Inference Server
  • MLOps experience (experiment tracking, model versioning, performance monitoring)
  • Experience with sensor fusion (RGB, IR, depth cameras)
  • Background in medical devices, regulated environments, or healthcare applications
  • Experience working in fast-moving early-stage environments
What we offer:
  • Real impact: your code provides care for patients today
  • High autonomy and technical ownership - you'll shape our computer vision architecture
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Talented, international team tackling meaningful problems in remote patient monitoring
  • Competitive salary
  • Transparent, mission-driven culture focused on continuous learning