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Computer Vision Engineer Jobs in Quebec (NOW HIRING)

Motorola

Director of Computer Vision

Quebec, QC

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Norbert Health

Applied AI Engineer

Montreal, QC · On-site

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 ...

Norbert Health

Applied AI Engineer

Montreal, QC

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 ...

Jestais

Engineer advanced features including promotions, seasonality, holidays, stockouts, lag variables ... Computer Vision * Develop and deploy computer vision solutions for product classification, visual ...

Jesta I.S.

Engineer advanced features including promotions, seasonality, holidays, stockouts, lag variables ... Computer VisionDevelop and deploy computer vision solutions for product classification, visual ...

Maya HTT

AI Presales Engineer

Montreal, QC · On-site

Maya HTT is a world leading developer of digital industries software solutions. The world's top ... or computer vision * Familiarity with industrial environments such as manufacturing, energy ...

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Computer Vision Engineer information

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.
More about Computer Vision Engineer jobs
What job categories do people searching Computer Vision Engineer jobs in Quebec look for? The top searched job categories for Computer Vision Engineer jobs in Quebec are:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Quebec as of June 2026, with employment types broken down into 51% Full Time, 46% Part Time, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.
Director of Computer Vision

Director of Computer Vision

Motorola

Quebec, QC

Full-time

Posted 21 days ago

Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

10th of 139 rated electronics manufacturers

Job description

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.

Apercu de l'entreprise

Chez Motorola Solutions, nous pensons que tout commence par nos employes. Nous sommes une communaute mondiale soudee, unie par la volonte incessante de contribuer a la securite des personnes partout dans le monde. Nous concevons et connectons des technologies qui contribuent a proteger les personnes, les biens et les infrastructures. Nos solutions favorisent la collaboration essentielle pour ameliorer la securite des populations, des ecoles, des hopitaux, des entreprises et, finalement, des nations. Connectez-vous a une carriere qui compte et aidez-nous a batir un avenir plus sur.


Department OverviewMotorola Solutions' innovations, products, and services play essential roles in people's lives. Our end-to-end suite of software solutions helps customers manage emergency communications, process video and evidence, and leverage cutting-edge AI-driven analytics for security and operational insights. We are industry leaders in video security and analytics, with solutions deployed in more than 120 countries across diverse environments such as school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers. Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated decision-making.
Job Description

Job DescriptionThe 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 the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence.

  • Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to a unified research and engineering organization, defining the technical architecture, strategy, and engineering roadmap for the Computer Vision Platform. Drive execution, ensuring the seamless translation of product requirements into robust technical specifications and successful delivery of next-generation visual intelligence solutions that are highly scalable and align with overall product and business strategy.

  • Organizational Leadership and Talent Strategy: Manage and scale a unified computer vision research and engineering organization distributed across multiple geographies, overseeing multiple teams, and defining the strategy for recruiting, mentoring, and attracting world-class talent.

  • End-to-End MLOps and Deployment: Own the entire engineering lifecycle for central, reusable computer vision models and foundational AI infrastructure. This includes establishing best-in-class MLOps practices for scalable training, efficient deployment, continuous monitoring, and performance optimization across edge and cloud environments.

  • Performance Measurement and Continuous Improvement: Define, implement, and track key technical performance metrics (e.g., latency, throughput, model efficiency, system reliability) to measure engineering success, identify bottlenecks, and drive continuous improvement in execution and delivery.

  • Technical Innovation and Risk Management: Evaluate and integrate cutting-edge computer vision research and technologies. Proactively identify and mitigate significant technical risks, and lead critical engineering decisions, including build-versus-buy analysis.

Qualifications & Experience

  • 10+ years of technical leadership experience leading computer vision teams and organizations, with a focus on building and deploying enterprise-scale platforms and solutions in production.

  • Technical Acumen & Deep Expertise: Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end MLOps lifecycle, including 5+ years of hands-on experience building and optimizing computer vision models or as a computer vision researcher. Proven ability to engage in complex technical discussions, define the architectural vision for central, reusable AI infrastructure and models, and drive technical strategy while managing critical trade-offs.

  • Executive Technical Strategy & Metrics: Proven experience defining long-term technical vision, engineering strategy, and roadmaps for a large-scale platform. Expertise in defining and implementing technical metrics (e.g., latency, throughput, system reliability, model efficiency) to measure engineering excellence and drive continuous improvement across an organization.

  • Organizational & People Leadership: Demonstrated ability to manage and scale a unified, distributed engineering and research organization of 50 to 100 people, mentor senior technical talent, and lead multiple teams across different geographies.

  • Strong Analytical and Research Skills: Hands-on experience driving innovation through foundational research, working with AI performance metrics (e.g., Precision/Recall), real-time video processing, and inference optimization.

  • Customer-Driven Technical Leadership (Pathfinding): Track record of translating highly ambiguous product concepts and complex customer needs into clear, executable technical roadmaps and architectural specifications.

  • Start-up Mentality & Agility: Experience in a start-up or fast-paced environment is highly valued, demonstrating high ownership, bias for action, comfort with ambiguity, and the ability to drive 0-to-1 product development with limited resources.

  • Domain Knowledge: Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications is a plus.

Target Base Salary Range:$230,000 CAD - $270,000 CAD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

#LI-MP2
#LI-REMOTE


Basic Requirements

  • Bachelors degree with 10+ years of technical leadership experience leading computer vision teams and organizations.


Travel Requirements10-25%
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanNo


EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.

Motorola Solutions adopte, favorise et promeut les principes de diversite, d'equite et d'inclusion. Nous encourageons et accueillons les candidatures de toutes les personnes qualifiees, quelles que soient leur race, origines ethnique, religion ou croyance, orientation sexuelle, identite et expression sexuelle, statut d'anciens combattants ou tout autre statut protege par la Loi.

Nous sommes fiers de notre culture axee sur les personnes et les communautes, encourageant ainsi chaque Motorolan d'etre la version la plus authentique de lui-meme dans ses responsabilites afin de tenir la promesse d'un monde plus securitaire.

Si vous souhaitez vous joindre a notre communaute mais croyez que vous ne possedez pas toutes les exigences requises pour le poste convoite, nous aimerions tout de meme connaitre les raisons pour lesquelles vous pensez etre un excellent candidat pour notre equipe.

Nous offrons egalement des mesures d'adaptation pendant toutes les etapes du processus d'embauche afin de favoriser l'inclusion des personnes vivant avec un handicap physique et/ou mental. Pour demander un amenagement, veuillez remplir ce formulaire d'amenagement raisonnable afin que nous puissions vous aider.

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About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928

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