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Research Engineer Jobs in Ontario (NOW HIRING)

Waabi

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

To learn more visit: www.waabi.ai As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work ...

HeyGen

Research Engineer

Toronto, ON

We are in search of passionate Research Scientists with a specialization in Computer Vision to ... Collaborative Engineering and Growth: Engage with a diverse team where collaborative efforts lead ...

THOMSON REUTERS

Research Engineer

Toronto, ON · Hybrid

We are seeking a Research Engineer who willbringexpertiseinAI and ML andisinterestedinbuilding data-driven capabilities that transform the way legal, accounting, and government professionals work ...

Socket.dev

$110 - $170/hr

Research engineers on our team drive projects from ideation to validation, with the goal of improving our core manufacturing ML capabilities. They support ML software engineers in translating ...

Omaze

$167.53 - $249.96/hr

Research engineers on our team drive projects from ideation to validation, with the goal of improving our core manufacturing ML capabilities. They support ML software engineers in translating ...

Deloitte

AI Research Engineer

Toronto, ON

This role blends fundamental research, model evaluation, and practical software engineering to push forward the next generation of intelligent applications. What will your typical day look like?

THOMSON REUTERS

Senior Research Engineer

Toronto, ON · Hybrid

We are seeking a Senior Research Engineer who willbringexpertiseinAI and ML andisinterestedinbuilding data-driven capabilities that transform the way legal, accounting, and government professionals ...

THOMSON REUTERS

Lead Research Engineer

Toronto, ON · On-site +1

We are seeking a Lead Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that transform the way legal, accounting, and government ...

Manifold Bio

CA$140K - CA$225K/yr

Position Manifold Bio is seeking a talented Machine Learning Research Engineer to join our growing AI team. You will work closely with our research scientists to implement, scale, and optimize ...

Waabi

Research Engineer, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments. This role ...

Waabi

Research Engineer, Neural Rendering

Toronto, ON · On-site +1

CA$134K - CA$235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with ...

Tenstorrent

CA$100K - CA$500K/yr

The ML Models team sits at the intersection of cutting-edge AI research and high-performance ... Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable ...

Baycrest

Research Programmer

Toronto, ON · Hybrid

CA$82/hr

The Rotman Research Institute at Baycrest has an opportunity for a RESEARCH PROGRAMMER Position Number: 9659 Position Type: Temporary Full-Time (Up to 12 months) Shift Type: Day Bi-Weekly Hours: 70 ...

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Showing results 1-20

All JobsResearch Engineer JobsResearch Engineer Jobs in Ontario

Research Engineer information

See Ontario salary details

$32.5K

$90.9K

$142.5K

How much do research engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for research engineer in Ontario is $90,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $105,000.00 per year, depending on experience, location, and employer.

What is a research engineer?

Research engineers are professionals who apply scientific and engineering principles to conduct research, develop new products, and improve existing technologies. They typically work in laboratories, research and development departments, or academic settings, collaborating with scientists and other engineers. Their work often involves designing experiments, analyzing data, and creating prototypes to solve technical problems or advance knowledge in their field.

Do I need a PhD to be a research engineer?

A PhD is not always required to become a research engineer, but it can be beneficial for roles involving advanced research, complex problem-solving, or specialized fields. Many research engineers hold a bachelor's or master's degree, along with relevant skills in programming, data analysis, and engineering tools. Industry experience and technical expertise are often equally important as formal education levels.

What is the difference between Research Engineer vs Data Scientist?

AspectResearch EngineerData Scientist
Required CredentialsTypically requires a master's or Ph.D. in engineering, computer science, or related fieldsUsually holds a master's or Ph.D. in statistics, computer science, or related areas
Work EnvironmentResearch labs, R&D departments, technology companiesData analysis teams, analytics departments, tech firms
Employer & Industry UsageUsed in engineering, manufacturing, aerospace, and tech industriesCommon in finance, healthcare, marketing, and tech sectors

Research Engineers focus on developing new technologies, prototypes, and engineering solutions, often working on hardware or system design. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and advanced degrees, their core functions and industry applications differ significantly.

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

To thrive as a Research Engineer, a strong background in engineering principles, advanced mathematics, and scientific research—often supported by a relevant degree or postgraduate study—is essential. Familiarity with data analysis tools like MATLAB or Python, CAD software, and laboratory instrumentation is typically required, along with experience in technical report writing. Strong analytical thinking, creativity, and effective collaboration skills help Research Engineers excel in multidisciplinary teams. These competencies are vital for developing innovative solutions, advancing technology, and ensuring rigorous, impactful research outcomes.

How do research engineers typically collaborate with cross-functional teams during a project?

Research Engineers often work closely with scientists, data analysts, product managers, and software engineers to develop and implement innovative solutions. Collaboration usually involves regular meetings to align on project goals, sharing technical findings, and integrating research outcomes into product development. Effective communication and the ability to translate complex research concepts into actionable insights are key to ensuring the project progresses smoothly and meets its objectives.
More about Research Engineer jobs
What are the most commonly searched types of Research Engineer jobs in Ontario? The most popular types of Research Engineer jobs in Ontario are:
What are popular job titles related to Research Engineer jobs in Ontario? For Research Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Research Engineer jobs in Ontario look for? The top searched job categories for Research Engineer jobs in Ontario are:
What are popular job titles related to Research Engineer jobs in ON? For Research Engineer jobs in ON, the most frequently searched job titles are:
Research Engineer jobs near you
Infographic showing various Research Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $90,857 per year, or $43.7 per hour.

Research Engineer

Waabi

Toronto, ON • On-site, Remote

CA$122K - CA$215K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 10 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

As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply.
 
You will...
- Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.
- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.
- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.
- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.
- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.
- Contribute to the publication of research findings in conferences as well as Waabi's blog.
 
Qualifications:
- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
- Experience working on applied research projects.
- Passion for taking research ideas and turning them into practical solutions for real-world applications.
- Solid understanding of computing fundamentals, including code efficiency.
- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.
- Comfortable working with large datasets for machine learning applications.
 
Bonus/nice to have:
- Master/PhD in machine learning, computer science, engineering, or a related field.
- Experience in shipping machine learning features/models into production.
- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.
- Previous experience in self-driving technology or related fields.
- Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.
- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.
- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $122,000 - $215,000 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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