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Senior Computer Vision Engineer Jobs in Toronto, ON

Director of Engineering

Toronto, ON · On-site

$180 - $260/hr

... in a computer vision / Sensors / Robotics / Hardware for the automotive market. * Strong C ... Working in tech startups in senior management. * 3+ years of Full-stack development experience for ...

Role Summary We're seeking a Senior Back-End Engineer who will be instrumental in building the ... Our application interfaces seamlessly with our advanced AI/ML platform, leveraging computer vision ...

... computer vision and Vision Language models algorithms. - Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring ...

... computer vision and Vision Language models algorithms. - Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring ...

We are working in the intersection of computer vision, generative AI (GenAI), and ambient ... Collaborate with scientists, engineers, product/program managers and other cross-functional teams

Senior Software Engineer, Auto Labelling

Toronto, ON · On-site +1

CA$170K - CA$220K/yr

... Engineers working on building a cutting-edge offline perception and auto-labelling system ... computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale ...

Senior Electrical Engineer Our client, one of the largest and most respected facility management ... deliverables, CAD workflows, budgets, financials, and coordination with authorities having ...

Description & Requirements Senior Mechanical Engineer Location: Toronto, ON Type: Permanent ... Provide guidance to draftspersons using CAD tools (AutoCAD Mechanical 2D/3D). * Evaluate vendor ...

Reporting to the Head, Data and AI Platforms, this role plays a key part in translating vision into ... University degree in Computer Engineering / Computer Science / Technology, or relevant work ...

Senior Geotechnical Engineer Brampton, ON At EXP, we're driven to provide innovative solutions for ... Carrying out analysis of data, including computer analyses. * Writing and reviewing technical ...

Senior Geotechnical Engineer Markham, ON At EXP, we're driven to provide innovative solutions for ... Carrying out analysis of data, including computer analyses. * Writing and reviewing technical ...

Showing results 21-40

Senior Computer Vision Engineer information

See Toronto, ON salary details

$108.3K

$172.5K

$213.3K

How much do senior computer vision engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior computer vision engineer in Toronto, ON is $172,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,831.00 and $197,548.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

What are some common challenges faced by a senior computer vision engineer when deploying models to production environments?

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.
What are the most commonly searched types of Computer Vision Engineer jobs in Toronto, ON? The most popular types of Computer Vision Engineer jobs in Toronto, ON are:
What job categories do people searching Senior Computer Vision Engineer jobs in Toronto, ON look for? The top searched job categories for Senior Computer Vision Engineer jobs in Toronto, ON are:
Infographic showing various Senior Computer Vision Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $172,548 per year, or $83 per hour.

Senior / Staff Software Engineer, Mapping

Waabi

Toronto, ON • On-site, Remote

CA$141K - CA$242K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 9 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. 
 
You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation.
 
You will...
- Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving.
- Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale.
- Architect and build the engineering foundations of our long-term mapping infrastructure.
- Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data.
- Design and develop comprehensive metrics, observability, and anomaly detection across various systems.
- Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs.
- Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. 
 
Qualifications:
- BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience.
- Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures.
- Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust.
- Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept).
- Hands-on experience building distributed systems on modern cloud platforms.
 
Bonus/nice to have:
- A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates. 
- Prior experience with autonomous vehicles, HD mapping, or robotics.
- Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS.
- Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems.
- Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka).
- Open-minded and collaborative team player with strong willingness to help others.
The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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