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Computer Science Research Assistant Jobs in Toronto, ON

Waabi

Research Scientist, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Meridian Credit Union

Data Scientist

Toronto, ON

CA$68K - CA$100K/yr

Research and stay updated with the latest advancements in data science and AI technologies * Ensure ... Salary Range: CAD $68,800- $100,000 Compensation for this role is based on a combination of skills ...

Quincus

Machine Learning Engineer

Toronto, ON

... computer science techniques developed by skilled software engineers and research scientists ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Quadreal

AI Enablement Specialist, Research

Toronto, ON

CA$100K - CA$125K/yr

Relevant undergraduate degree, preferably with, but not limited to, an AI, Computer Science, Data ... We use artificial intelligence (AI) technology - alongside human review - to assist in screening ...

Xiopt

Marketing Intern

Toronto, ON · Remote

Founded by experts in finance and computer science, XIOpt prides itself on its practitioner-led ... A successful candidate will also contribute to research and development initiatives tailored to ...

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All JobsComputer Science Research Assistant JobsComputer Science Research Assistant Jobs in Toronto, ON

Computer Science Research Assistant information

See Toronto, ON salary details

$14.3K

$61.4K

$140.3K

How much do computer science research assistant jobs pay per year?

As of Jun 23, 2026, the average yearly pay for computer science research assistant in Toronto, ON is $61,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,264.00 and $72,529.00 per year, depending on experience, location, and employer.

Is it better to shut down or sleep?

For a Computer Science Research Assistant, shutting down a computer completely saves power and reduces wear on components, while sleep mode allows for quicker resume times and maintains open files. The choice depends on usage patterns; frequent short breaks may favor sleep, whereas longer periods of inactivity are better for shutdown. Both options are safe and commonly used in research environments to manage system performance and energy consumption.

What is a good inexpensive computer to buy?

For a Computer Science Research Assistant, a budget-friendly computer such as a Chromebook or entry-level Windows laptop with at least 8GB RAM and an SSD can handle basic coding, data analysis, and research tasks. Prioritizing a device with a reliable processor and sufficient storage ensures smooth performance for research activities and programming environments.

What is a Computer Science Research Assistant job?

A Computer Science Research Assistant supports professors or researchers in conducting experiments, analyzing data, and developing software or algorithms. They may assist with literature reviews, coding, debugging, or testing to advance research projects. The role often involves working with programming languages, machine learning, cybersecurity, or other specialized topics. It provides valuable experience for students or professionals looking to deepen their knowledge in the field.

What are the key skills and qualifications needed to thrive in the Computer Science Research Assistant position, and why are they important?

To thrive as a Computer Science Research Assistant, you need strong analytical skills, proficiency in programming languages (such as Python, Java, or C++), and a solid understanding of algorithms and data structures, usually evidenced by coursework or a relevant degree. Familiarity with research tools, version control systems (like Git), and possibly certifications in data analysis or machine learning are advantageous. Excellent problem-solving abilities, attention to detail, and effective written and verbal communication help individuals excel when collaborating on research projects. These competencies enable you to support rigorous research, contribute to innovative solutions, and work efficiently as part of an academic or industry research team.

What are typical duties and daily responsibilities of a Computer Science Research Assistant?

As a Computer Science Research Assistant, your daily responsibilities often include assisting with data collection and analysis, developing or testing software prototypes, conducting literature reviews, and helping prepare reports or presentations for research findings. You may also collaborate closely with faculty, graduate students, or industry partners, contributing to coding tasks, experimental setups, and troubleshooting technical issues as they arise. The role frequently involves both independent problem-solving and teamwork, providing a supportive environment to deepen technical skills and gain hands-on research experience. This position is an excellent opportunity to develop your research portfolio, learn advanced computing concepts, and prepare for potential graduate study or specialized tech careers.

What is the best home computer to buy?

As a Computer Science Research Assistant, selecting a reliable home computer depends on your workload; a high-performance PC or Mac with a multi-core processor, at least 16GB of RAM, and SSD storage is recommended for coding, data analysis, and research tasks. Consider your specific needs for software compatibility and upgradeability when choosing a model.

What is the definition of a computer?

A computer is an electronic device that processes, stores, and retrieves data according to programmed instructions. Computer Science Research Assistants often work with hardware and software components, understanding how computers perform calculations and manage information. Knowledge of computer architecture and programming languages is essential for analyzing and developing computing systems.
What are the most commonly searched types of Computer Science Research jobs in Toronto, ON? The most popular types of Computer Science Research jobs in Toronto, ON are:
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What cities near Toronto, ON are hiring for Computer Science Research Assistant jobs? Cities near Toronto, ON with the most Computer Science Research Assistant job openings:
Computer Science Research Assistant jobs near you
Infographic showing various Computer Science Research Assistant job openings in Toronto, ON as of June 2026, with employment types broken down into 79% Full Time, 7% Temporary, 7% Contract, and 7% Summer. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $61,439 per year, or $29.5 per hour.

Research Scientist, World Models

Waabi

Toronto, ON • On-site, Remote

CA$155K - CA$269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 25 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

Waabi's autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.
This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World's ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.
 

You will...

- Conduct fundamental and applied research in generative and predictive world-modeling

Video generation and prediction.

Latent diffusion / autoregressive / flow-matching models.

Multimodal foundation models for driving scenes.

LLM / VLM / VLA methods for scene understanding, reasoning, and control.

Generative scenario modeling and controllable simulation.

Model distillation.

- Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines.

- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).

- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.

- Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics.


Qualifications:

- Demonstrated technical innovation:  You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..

- Strong prototyping and implementation:  You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.

- Expert domain knowledge: You have built  generative or predictive models of the physical world with scale and efficiency in mind for real-world applications

- Team player:  You have worked in a close-knit team of researchers and engineers and have strong communication  to deliver successful projects. 

 

Bonus:

- Proven ability to translate research into production-quality code and measurable product impact.

- Demonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy.

The US yearly salary range for this role is: $155,000 - $269,000 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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