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Vision Science Jobs in British Columbia (NOW HIRING)

Stryker

Staff Engineer, Computer Vision

Burnaby, BC · On-site

CA$105K - CA$140K/yr

Bachelor's degree in Software Engineering, Computer Science, Artificial Intelligence, or related discipline * 4+ years of related work experience. Preferred Qualifications: * Experience developing ...

MasterCard

Director, Data Science

Vancouver, BC

... vision with near-term delivery to maximize impact and time-to-value All About You Essential Skills to be successful: Advanced degree (Master's or PhD preferred) in Data Science, ML, or related field ...

Motorola

Director of Computer Vision

Vancouver, BC

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 ...

AbCellera

Principal Scientist - Toxicology

Vancouver, BC · On-site

CA$144K - CA$180K/yr

That's why our vision is to repeatedly beat the odds to deliver breakthrough medicines to patients that need them. We pursue truth and scientific rigour and have the courage to work at the edge of ...

AbCellera

Research Scientist II - Toxicology

Vancouver, BC · On-site

CA$95K - CA$120K/yr

That's why our vision is to repeatedly beat the odds to deliver breakthrough medicines to patients that need them. We pursue truth and scientific rigour and have the courage to work at the edge of ...

Prenuvo

Senior AI Applied Scientist II

Vancouver, BC · On-site

... science and the delivery of the work. This hybrid role is based in Vancouver. We expect you to be ... Vision Transformers, multimodal transformers, foundation models, and vision-language models.

Lululemon Athletica

Principal AI/ML Scientist

Vancouver, BC · On-site

$208.58 - $273.77/hr

Define enterprise AI/ML strategy and solution vision for key use‑cases, aligning investments to ... Bachelor's degree in computer science, data science, engineering, or related technical field, or ...

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Vision Science information

What is vision science?

Vision science is an interdisciplinary field that studies how visual systems process information. It encompasses research on the anatomy, physiology, and functioning of the eyes and brain, as well as optical, computational, and psychological aspects of vision. Vision scientists work to understand how we perceive visual information, how visual disorders arise, and how technology can enhance or restore vision. Careers in vision science may involve research, clinical practice, or developing new diagnostic and corrective tools.

What are some typical collaborative projects a vision science professional might work on with other departments?

Vision Science professionals frequently collaborate with teams in ophthalmology, neurology, psychology, and engineering, depending on the setting. For example, they may work closely with ophthalmologists to develop and test new diagnostic tools, partner with engineers to refine visual aids or imaging technologies, or collaborate with psychologists to study visual perception and cognition. These interdisciplinary projects help broaden the impact of their research and often lead to innovative solutions in visual health and technology.

What are the key skills and qualifications needed to thrive as a vision scientist, and why are they important?

To thrive as a Vision Scientist, you need a strong background in biology, optics, neuroscience, and experimental design, typically supported by a PhD or advanced degree in vision science or a related field. Familiarity with laboratory equipment, statistical analysis software (such as MATLAB or Python), and imaging systems is essential. Strong analytical thinking, attention to detail, and effective communication skills enable successful research and collaboration. These competencies are crucial for advancing knowledge in visual perception and developing applications in healthcare and technology.

What is the difference between Vision Science vs Optometrist?

AspectVision ScienceOptometrist
Required CredentialsTypically requires a master's or PhD in vision science or related fieldRequires Doctor of Optometry (OD) degree and licensure
Work EnvironmentResearch labs, universities, industry settingsPrivate practices, clinics, healthcare facilities
Industry UsageResearch, product development, academiaPatient eye care, vision testing, prescribing corrective lenses

Vision Science and Optometrists both focus on eye health and vision, but differ in their roles. Vision Science primarily involves research and development in vision-related fields, requiring advanced degrees and working in academic or industry settings. Optometrists, on the other hand, are healthcare professionals providing direct patient care, requiring a Doctor of Optometry degree and licensure. Understanding these differences helps clarify career paths and job expectations in the eye care industry.

What can I do with a master's in vision science?

A master's in vision science prepares individuals for roles such as vision researcher, optometric technician, or vision scientist in clinical, research, or industry settings. Graduates often work in eye care clinics, research laboratories, or with companies developing visual technologies, utilizing skills in optics, neuroscience, and data analysis.

What can you do with a vision science degree?

A vision science degree prepares individuals for careers in research, clinical practice, or industry related to visual health, perception, and optics. Graduates can work as optometrists, vision scientists, research analysts, or in roles involving eye care technology and visual performance assessment, often requiring knowledge of optics, neuroscience, and laboratory skills.

What does a vision science do?

A vision scientist studies how the visual system processes and interprets visual information, often conducting research in areas like optics, perception, and eye health. They may work in laboratories, healthcare settings, or academia, using tools such as microscopes and imaging devices to understand visual function and develop treatments or technologies related to vision. Strong analytical skills and knowledge of biology, physics, and psychology are essential in this field.

What are popular job titles related to Vision Science jobs in British Columbia?

For Vision Science jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Vision Science jobs in British Columbia look for?

The top searched job categories for Vision Science jobs in British Columbia are:

Vision Science jobs near you
Infographic showing various Vision Science job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 24% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Staff Engineer, Computer Vision

Stryker

Burnaby, BC • On-site

CA$105K - CA$140K/yr

Full-time

Posted 13 days ago

Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

131st of 491 rated machine equipment manufacturers

Job description

Work Flexibility: Onsite

It's Time to Join Stryker!

Who We Want
At Stryker Endoscopy, our Computer Vision team develops advanced image analysis technologies that support clinical decision-making, improve visualization, reduce surgeon workload, and ultimately improve patient outcomes. We are building next-generation AI and computer vision capabilities that directly impact patient care and help shape the future of medical technology.

We are seeking a Staff Computer Vision Engineer to provide technical guidance and contribute to the design and development of advanced computer vision and machine learning technologies. In this role, you will contribute to technical direction, help design scalable AI-enabled systems, and apply modern AI/ML techniques to impactful products and platforms.

This is an opportunity to apply your expertise to meaningful technology that directly impacts surgeons and patients worldwide.

What You Will Do

  • Design, develop, train, and integrate advanced computer vision and machine learning solutions.
  • Train, evaluate, and iterate computer vision models using real-world image and video data.
  • Create detailed designs and implement software systems, components, and algorithms.
  • Design and execute technical experiments and proof-of-concept demonstrations.
  • Provide technical guidance to colleagues and contribute to architecture and design decisions.
  • Contribute to the design of scalable AI-enabled systems and inform technical tradeoff discussions.
  • Translate customer and business needs into technical solutions and product requirements.
  • Evaluate and integrate emerging technologies, frameworks, and tools to accelerate innovation.
  • Participate in design reviews, code reviews, and the application of engineering best practices.
  • Partner with R&D, Product, Clinical, Quality, Regulatory, and cross-functional stakeholders to deliver impactful solutions.
  • Influence technical decisions within assigned projects and partner with senior technical leaders on broader initiatives.
  • Contribute to innovation through technical contributions, invention disclosures, and potential patent activity.
  • Collaborate with global engineering teams across North America and India.

What You Need

  • Bachelor's degree in Software Engineering, Computer Science, Artificial Intelligence, or related discipline
  • 4+ years of related work experience.

Preferred Qualifications:

  • Experience developing and deploying computer vision and/or AI/ML solutions in real-world environments.
  • Experience training, evaluating, and improving computer vision or machine learning models.
  • Experience developing software solutions for complex technical environments.
  • Experience applying machine learning to image or video analysis applications.
  • Experience with frameworks such as OpenCV, PyTorch, TensorFlow, or similar technologies.
  • Experience with Python and/or C++, with CUDA as a plus.
  • Excellent communication and collaboration skills with the ability to influence across technical and cross-functional teams.

Desired Qualifications:

  • Experience with medical imaging.
  • Experience with cloud AI/ML environments, model training pipelines, or MLOps workflows.
  • Experience working with large-scale datasets and model evaluation strategies.
  • Experience in regulated industries such as healthcare, medical devices, aerospace, robotics, automotive, or other safety-critical environments.
  • Experience supporting intellectual property development through patents or invention disclosures.
  • Advanced degree in Computer Science, Computer Vision, Artificial Intelligence, or related field.
  • $105,300 - $140,450 CAD Annual
Travel Percentage: 10%

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