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Math Engineering Jobs in British Columbia (NOW HIRING)

BI Developer-Analyst

Vancouver, BC · On-site

CA$38.88 - CA$55.89/hr

Bachelor's Degree in Computer Science, Business Analytics, Statistics, Mathematics, Engineering or related field plus a minimum of five (5) years' recent, related experience with data modeling, data ...

BI Developer-Analyst

Vancouver, BC · On-site

CA$38.88 - CA$55.89/hr

Bachelor's Degree in Computer Science, Business Analytics, Statistics, Mathematics, Engineering or related field plus a minimum of five (5) years' recent, related experience with data modeling, data ...

Senior Deep Learning Engineer

Vancouver, BC · On-site +1

$130K - $180K/yr

Strong math skills and Python proficiency * Experience with C/C++ Preferred Skills & Experience: * Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low ...

Senior Deep Learning Engineer

Vancouver, BC · On-site +1

$130K - $180K/yr

Strong math skills and Python proficiency * Experience with C/C++ Preferred Skills & Experience: * Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low ...

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Showing results 1-20

Math Engineering information

See British Columbia salary details

$10

$30

$71

How much do math engineering jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for math engineering in British Columbia is $30.38, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $28.85 per hour, depending on experience, location, and employer.

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

To thrive as a Math Engineer, you need a strong background in applied mathematics, computational methods, and a relevant engineering discipline, usually supported by a degree in mathematics, engineering, or a related field. Proficiency in programming languages (such as MATLAB, Python, or C++), mathematical modeling software, and familiarity with simulation tools are typically required. Analytical thinking, problem-solving abilities, and effective communication skills are essential soft skills to excel in this role. These skills and qualities are crucial for accurately modeling complex systems, developing innovative solutions, and effectively collaborating with multidisciplinary teams.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-level roles often require advanced degrees, certifications, and expertise in high-demand areas or management positions within large organizations.

What is the difference between Math Engineering vs Data Scientist?

AspectMath EngineeringData Scientist
Required CredentialsMathematics, Engineering, Computer Science degreesStatistics, Computer Science, Mathematics degrees
Work EnvironmentResearch labs, R&D departments, technical teamsBusiness settings, analytics teams, tech companies
Employer & Industry UsageTech firms, engineering companies, financeTech, finance, healthcare, marketing
Common Search & ComparisonMath Engineering vs Data Scientist

Math Engineering focuses on applying advanced mathematical techniques to develop engineering solutions, often in R&D or technical roles. Data Scientists analyze large datasets to extract insights, primarily supporting business decisions. While both roles require strong math skills, Math Engineering emphasizes engineering applications, whereas Data Science centers on data analysis and modeling.

What does a math engineer do?

A math engineer applies mathematical principles and techniques to solve complex problems in engineering, technology, and scientific fields. They develop models, algorithms, and simulations, often using programming tools like MATLAB or Python, to optimize systems and processes. Their work supports innovation in areas such as data analysis, machine learning, and product design.

What engineers make $500,000?

Senior engineers in fields such as software, petroleum, aerospace, and electrical engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High-level roles typically require extensive experience, advanced skills, and sometimes leadership responsibilities or specialized certifications.

How does a Math Engineer typically collaborate with software developers and data scientists on interdisciplinary projects?

Math Engineers often work closely with software developers and data scientists to design and implement mathematical models and algorithms. Collaboration involves translating complex mathematical concepts into practical computational solutions, validating results, and optimizing performance. Regular meetings, code reviews, and shared documentation help ensure alignment across teams, and strong communication skills are essential for explaining technical details to non-specialists. This interdisciplinary teamwork is common in industries like finance, technology, and engineering, leading to innovative solutions and continuous learning opportunities.

What engineering jobs use math?

Math engineering jobs include roles such as aerospace, civil, electrical, and mechanical engineers, all of which rely heavily on advanced mathematics for design, analysis, and problem-solving. These positions often require skills in calculus, linear algebra, and differential equations, and may involve using tools like MATLAB or CAD software.

What is math engineering?

Math engineering is a multidisciplinary field that applies advanced mathematical theories, techniques, and computational methods to solve engineering problems. Professionals in this area use mathematics to model, analyze, and optimize systems in industries such as technology, finance, aerospace, and manufacturing. Typical tasks include developing algorithms, performing simulations, and interpreting complex data to improve processes or products. Math engineers often work closely with other engineers and scientists to design efficient solutions to real-world challenges.
What are popular job titles related to Math Engineering jobs in British Columbia? For Math Engineering jobs in British Columbia, the most frequently searched job titles are:
What job categories do people searching Math Engineering jobs in British Columbia look for? The top searched job categories for Math Engineering jobs in British Columbia are:
Infographic showing various Math Engineering job openings in British Columbia as of July 2026, with employment types broken down into 75% Full Time, 13% Part Time, and 12% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $63,197 per year, or $30.4 per hour.
Staff Machine Learning Software Engineer

Staff Machine Learning Software Engineer

Royal Bank of Canada

Vancouver, BC

Full-time

Posted 2 days ago


Job description

Job Description

RBC Borealis is seeking an experienced Staff Machine Learning Software Engineer to leads the strategic planning, execution, and delivery of advanced AI initiatives in Borealis AI, aligning with organizational goals and driving impactful solutions to address complex business challenges. In this role, you will direct the management of multiple teams in AI Engineering, focusing on strategy implementation.

Responsibilities Include

Develop and oversee implementation of strategic AI roadmaps aligned with organizational objectives and deliver innovative solutions for complex business challenges.
Direct cross functional collaboration, building strong relationships to drive impactful outcomes and influence enterprise strategies.
Lead multiple AI focused initiatives, ensuring operational efficiency, resource optimization, and alignment with corporate strategic plans.
Provide strategic direction and leadership to teams, ensuring successful execution of high impact AI projects and contributing to long term objectives.
Manage AI Engineering initiatives of significant complexity, applying advanced technical expertise to solve abstract problems, and making independent decisions across business units.
Make independent decisions on program, technical or operational strategy for the department, providing leadership, coaching and mentorship through senior managers and managers. Set strategic direction for the department or area receiving high level direction from senior leaders.
Drive innovation across areas of responsibility identifying opportunities for making operational changes and practices, solving highly complex problems broadly related to AI Engineering.
Lead cross functional collaboration efforts, fostering strong internal relationships across the organization and external relationships to drive business outcomes.

You're our ideal candidate if you have:

  • Bachelor's degree in Computer Science, Statistics, Math, Engineering or a related technical field;

  • 10+ years of experience leading high-impact machine learning solutions in a product-centric environment;

  • Experience managing/mentoring high-performing teams of data scientists and engineers;

  • Proven expertise across the research and development lifecycle, from prototyping to production, with strong ability to engage stakeholders;

  • Deep expertise in machine learning, statistics, and data science with experience in optimization, A/B testing, and causal inference;

  • Possess a deep expertise in production ML infrastructure including model serving platforms, feature stores, and data pipelines, with ability to support teams in deploying and maintaining ML models at scale.

  • Exceptional communication skills and ability to translate complex concepts to diverse audiences.

  • Demonstrated a mastery of end-to-end ML system ownership in production environments, including model design, feature engineering, model architecture, drift detection, and serving infrastructure at scale.

  • A deep expertise in building systems that serve as shared ML platforms for multiple downstream teams and use cases.

  • A proven ability to lead cross-functional technical initiatives by coordinating with diverse stakeholder groups (feature providers, policy teams, client teams) while maintaining system integrity and translating technical results to non-technical audiences.

About the AI Group:
RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery - ensuring RBC remains at the frontier of AI-enabled value creation.


Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.


#LI-POST
#TECHPJ

Job Skills

Big Data Analytics, Client Counseling, Coaching Others, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Results-Oriented, Software Engineering, Software Product Design

Additional Job Details

Address:

777 BAY ST, TH 27:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-22

Application Deadline:

2026-08-26

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Employment Type: FULL_TIME