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Full Time Computer Science Jobs in Ontario (NOW HIRING)

Waabi

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Waabi

Applied Scientist

Toronto, ON · On-site +1

CA$128K - CA$184K/yr

... Computer Science, Engineering, Statistics, Physics, or similar. - Strong command of SQL, and ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Waabi

Senior / Staff Applied Scientist

Toronto, ON · On-site +1

CA$146K - CA$280K/yr

... Computer Science, Physics, or Robotics.- Strong command of Python/SQL for data analysis and ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Waabi

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Gtsgbu

Safety Specialist, Senior

Toronto, ON

CA$99.88K - CA$128.25K/yr

Sc. in Electronics, Computer Science, Electrical Engineering or equivalent * Minimum 5 years of ... for all full-time employees working 24 or more hours per week and their eligible dependents ...

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

To thrive as a Computer Scientist, you need a solid background in algorithms, programming, and mathematics, typically supported by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), version control systems like Git, and often certifications in areas like cloud computing or data science are commonly required. Analytical thinking, problem-solving, and effective teamwork are soft skills that set individuals apart in this role. These abilities are vital for developing innovative solutions, collaborating on complex projects, and adapting to rapidly evolving technology.

What does a typical day look like for a full-time computer science professional and how do they collaborate with other teams?

A typical day for a full-time computer science professional often involves a mix of coding, problem-solving, and meetings. You may spend several hours developing, testing, and debugging software, as well as reviewing code written by colleagues. Collaboration is key, as you frequently work with cross-functional teams such as product managers, designers, and quality assurance to ensure that projects meet user requirements and are delivered on time. Clear communication and teamwork are essential, especially when resolving issues or integrating new features. This structure fosters a dynamic environment where learning and adapting to new technologies is encouraged.

What are full time computer science jobs?

Full time computer science jobs are positions where individuals work at least 35-40 hours per week in roles that involve the application of computer science principles. These roles can include software developer, systems analyst, data scientist, cybersecurity specialist, and more. Full time positions often include benefits such as health insurance, paid time off, and retirement plans. They typically require a degree in computer science or a related field, and may involve working for technology companies, financial institutions, research organizations, or government agencies.

What is the difference between Full Time Computer Science vs Software Developer?

AspectFull Time Computer ScienceSoftware Developer
Required CredentialsBachelor's or higher in Computer Science or related fieldOften similar; degree preferred but not always required
Work EnvironmentAcademic, research, or corporate settingsTech companies, startups, or freelance projects
Industry UsageUniversities, research labs, tech firmsSoftware companies, IT services, app development
Common Search IntentEducational paths, career options in CSJob roles, skills, and project work in software development

Full Time Computer Science typically refers to a degree-focused, academic or research-oriented role requiring formal education. Software Developer roles are more practical, project-based, and often focus on coding and application development. While overlapping in skills and credentials, Full Time Computer Science emphasizes foundational knowledge, whereas Software Developer positions are more about applying that knowledge in real-world projects.

What are the most commonly searched types of Computer Science jobs in Ontario? The most popular types of Computer Science jobs in Ontario are:
Full Time Computer Science jobs near you

Research Scientist, Learnable Planner

Waabi

Toronto, ON • On-site, Remote

CA$158K - CA$269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted yesterday

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

The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
 
You will...
- Design and execute on a research agenda for deep-learning based motion planning for self-driving.
- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.
- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
 
Qualifications:
- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be considered.
- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).
- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus/nice to have:
- Previous experience in self-driving technology. 
- Experience deploying ML/DL models to a production motion planning or related robotics stack.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $158,000 - $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. 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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