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Best Paying Computer Science Jobs in British Columbia

Stryker

Staff Engineer, Computer Vision

Burnaby, BC

CA$105K - CA$140K/yr

Participate in design reviews, code reviews, and the application of engineering best practices ... What You Need * Bachelor's degree in Software Engineering, Computer Science, Artificial ...

Teck

Data Scientist III

Vancouver, BC · Hybrid

CA$107K - CA$132K/yr

Stay current with emerging technologies and best practices in data science, machine learning, and industrial analytics. Qualifications * Master's or PhD in Data Science, Computer Science, Statistics ...

MasterCard

Data Scientist II

Vancouver, BC

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or another ... following Data Science best practices. Ability to collaborate effectively through code ...

Intact Financial

Senior Data Scientist

Vancouver, BC · Hybrid

Establish and uphold data science best practices, including coding standards, peer review, reproducibility, and testing. What you'll bring * Master's degree in Computer Science, Mathematics, AI ...

Hitachi

Safety Specialist, Senior

Burnaby, BC · On-site

CA$89K - CA$115K/yr

... best practices. * Report directly to the Manager, RAMS Engineering and liaise with the Chief Safety Architect Key Requirements * B.Sc. in Electronics, Computer Science, Electrical Engineering or ...

Targeted Talent

Compiler Tech Lead

Richmond, BC

$170K - $190K/yr

Drive definition and adoption of best practices * Support roadmap development and recruiting ... MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing ...

Targeted Talent

Compiler Tech Lead

Richmond, BC

$170K - $190K/yr

Drive definition and adoption of best practices * Support roadmap development and recruiting ... MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing ...

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Best Paying Computer Science information

What are the best paying jobs in computer science?

The best paying jobs in computer science typically include roles such as software architect, machine learning engineer, data scientist, cloud solutions architect, and cybersecurity engineer. These positions often require advanced skills in programming, systems design, and data analysis, as well as experience with the latest technologies. Salaries can vary depending on location, level of experience, and the specific industry, but these roles consistently rank among the highest paying in the tech sector. Many of these positions also offer additional benefits and opportunities for career advancement.

What is the difference between Best Paying Computer Science vs Software Engineer?

AspectBest Paying Computer ScienceSoftware Engineer
Required CredentialsBachelor's or Master's in Computer Science, certifications like AWS, CiscoBachelor's in Computer Science or related field, coding certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, startups, corporate IT departments
Employer & Industry UsageUniversities, research institutions, high-tech companiesSoftware development firms, tech giants, consulting
Common Search & Comparison IntentHigh-paying roles in CSSoftware development salaries & roles

Best Paying Computer Science roles often include specialized positions like data scientist or AI researcher, which may require advanced degrees and certifications. Software Engineers focus on designing, coding, and maintaining software applications. While both roles require a computer science background, Best Paying Computer Science positions tend to offer higher salaries due to specialization and industry demand, especially in research or executive roles.

What are common challenges faced by professionals in high paying computer science roles, and how can candidates prepare for them?

Professionals in high-paying computer science roles often face challenges such as keeping up with rapidly evolving technologies, managing complex projects, and collaborating across multidisciplinary teams. Candidates can prepare by regularly updating their technical skills, gaining experience with project management tools, and developing strong communication abilities. Additionally, being adaptable and proactive in learning new programming languages and frameworks can help professionals stay competitive and successful in these demanding positions.

What are the key skills and qualifications needed to thrive in a best paying computer science role?

To excel in top-paying computer science roles, you typically need strong programming skills, expertise in algorithms and data structures, and a relevant computer science degree. Familiarity with technical tools like Python, Java, cloud platforms, and frameworks, along with certifications in areas like AWS or machine learning, is often required. Outstanding problem-solving abilities, teamwork, and effective communication are soft skills that help professionals stand out. These skills and qualifications are crucial for developing innovative solutions, collaborating on complex projects, and driving business success in a technology-driven environment.
What are popular job titles related to Best Paying Computer Science jobs in British Columbia? For Best Paying Computer Science jobs in British Columbia, the most frequently searched job titles are:
What job categories do people searching Best Paying Computer Science jobs in British Columbia look for? The top searched job categories for Best Paying Computer Science jobs in British Columbia are:
What cities in British Columbia are hiring for Best Paying Computer Science jobs? Cities in British Columbia with the most Best Paying Computer Science job openings:
Best Paying Computer Science jobs near you
Infographic showing various Best Paying Computer Science job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Staff Engineer, Computer Vision

Stryker

Burnaby, BC

CA$105K - CA$140K/yr

Full-time

Posted 5 days ago

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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