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Math Engineering Jobs in Ontario (NOW HIRING)

Themis

Machine Learning Engineer

Mississauga, ON

CA$85K - CA$135K/yr

A Bachelor's degree in Computer Science, Mathematics, Engineering, Statistics, or a related technical field, or equivalent practical experience building and deploying production ML systems * 3+ years ...

Waabi

Safety Engineer, Collision Risk

Toronto, ON · On-site +1

CA$126K/yr

... mathematics, engineering and physics. - Excellent scripting and data analysis skills with tools such as Python and SQL. - Ability to communicate complex concepts or data in a simple-yet-accurate ...

Purolator

Lead Network Engineering

Mississauga, ON · On-site

Bachelor's or Master's degree in Operations Research, Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field. Experience * 10 or more years of experience in data ...

Sun Life Financial

Senior Data Engineer

Waterloo, ON

Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent * Graduate degree in business or quantitative science strongly preferred What's in it for you: * We're honoured to be ...

Sun Life Financial

Senior Data Engineer

Toronto, ON · On-site

Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent * Graduate degree in business or quantitative science strongly preferred What's in it for you: * We're honoured to be ...

Sun Life Financial

Senior Data Engineer

Waterloo, ON

Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent * Graduate degree in business or quantitative science strongly preferred What's in it for you: * We're honoured to be ...

Sun Life Financial

Senior Data Engineer

Toronto, ON · On-site

Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent * Graduate degree in business or quantitative science strongly preferred What's in it for you: * We're honoured to be ...

CMR University

Assistant Professor, Mathematics * Assistant Professor, Statistics * Professor of Practice (Software Development) Specialisations: * Civil Engineering * Computer Science and Engineering * Electronics ...

General Motors

Senior Android SystemUI Developer

Markham, ON · Hybrid

CA$115K - CA$164K/yr

Bachelor's orMaster's degree in Computer Science, Mathematics, Engineering, Physics, or a related field * Proven experience usingGoogle Partner Issue Tracker (Buganizer)to report, track, and resolve ...

Td

Machine Learning Engineer

Toronto, ON

CA$120K - CA$250K/yr

Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field * 3+ years of developer experience shipping code in production settings * Strong background in ...

Td

Machine Learning Engineer II

Toronto, ON

CA$154K - CA$199K/yr

Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field * Demonstrated experience leading the design and implementation of productiongrade ML or data ...

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All JobsMath Engineering JobsMath Engineering Jobs in Ontario

Math Engineering information

See Ontario salary details

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How much do math engineering jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for math engineering in Ontario 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 Ontario? For Math Engineering jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Math Engineering jobs in Ontario look for? The top searched job categories for Math Engineering jobs in Ontario are:
Math Engineering jobs near you

Systems Engineer, Platform Requirements and Verification

Waabi

Toronto, ON

CA$140K - CA$190K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 21 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

You will...
- Own the creation, documentation, alignment and verification of vehicle platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively
- Bring an in-depth understanding of sensors, compute and actuators used in self-driving vehicles and drive an architecture with requirements that generate a simple yet very safe highly autonomous vehicle platform
- Act as a central point of contact at Waabi for specific vehicle platform requirements and related tests and communicate updates, progress and potential roadblocks to stakeholders at all levels
- Help drive Waabi's safety culture through application of safety standards and methodologies in your area of responsibility across all supporting teams at Waabi including Systems Engineering, Hardware and Software
- Define necessary improvements for our highly realistic simulator to effectively verify most vehicle platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented
- Own the writing and tracking of tests and test executions in line with company project milestones
- Continuously evaluate and enhance Waabi's vehicle platform capabilities, look for novel approaches, identify and apply lessons learned and ensure a detailed and comprehensive documentation that is easily accessible
- Implement tools and methodologies to streamline and automate the vehicle platform requirement processes where applicable
- Work with external partners on delivering a safe vehicle platform that has been verified and validated to support a strong safety case for the complete self-driving system
 
Qualifications:
- Undergrad required; Masters or PhD within an engineering discipline preferred
- 3+ years of automotive, robotics, aerospace or related industry experience
- Experience with requirements-specifications and metrics
- Experience with executing complex vehicle test campaigns
- Experience with methods and standards such as ISO 26262, SOTIF (ISO 21448) and / or UL 4600
- Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics
- Excellent data analysis skills with modern tools such as Python or Matlab
- Open-minded and collaborative leader who is eager to provide guidance and has the willingness to help others
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
- Experience with vehicle actuation (brakes, steering, propulsion)
 
Bonus/nice to have:
- Experience in launching a driverless product
- Experience in leading small teams of systems engineers
- Experience in the automotive self driving industry
- Experience building software systems from scratch
- Experience in robotics or machine learning
- Proficiency with data mining, mathematics, and statistical analysis
 
The US yearly salary range for this role is: $140,000 - $190,000 USD in addition to competitive perks & benefits. Waabi'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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