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Computer Science Engineer Jobs in Ontario (NOW HIRING)

Quincus

Machine Learning Engineer

Toronto, ON

To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Quincus Research teams collaborate ...

Targeted Talent

C++ Developer

Kitchener, ON · On-site +1

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

Targeted Talent

C++ Developer

Waterloo, ON · On-site +1

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

Targeted Talent

C++ Developer

Kitchener, ON · On-site +1

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

Targeted Talent

C++ Developer

Ottawa, ON · On-site +1

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

Targeted Talent

C++ Developer

Ottawa, ON · On-site +1

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

Targeted Talent

C++ Developer

Waterloo, ON · On-site +1

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

StackandCo

Degree in Computer Science, Engineering, Information Technology or equivalent. \n * Minimum 6 years of design & development experience. \n * Desired skillset Java, AWS Cloud, Python. \n * Expertise ...

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All JobsComputer Science Engineer JobsComputer Science Engineer Jobs in Ontario

Computer Science Engineer information

See Ontario salary details

$22K

$81.7K

$165K

How much do computer science engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for computer science engineer in Ontario is $81,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a Computer Science Engineer might work on within a multidisciplinary team?

Computer Science Engineers often collaborate with professionals from diverse backgrounds such as product managers, designers, and data analysts. Typical projects may include developing scalable software applications, optimizing algorithms for performance, or integrating new technologies into existing systems. These engineers are frequently involved in code reviews, planning meetings, and cross-functional brainstorming sessions to ensure solutions meet both technical and business requirements. This collaborative environment not only enhances technical skills but also fosters communication and project management abilities.

What are Computer Science Engineers?

Computer Science Engineers are professionals who apply principles of computer science, engineering, and mathematics to design, develop, test, and maintain computer systems, software, and networks. They work on a wide range of technologies, from creating applications and operating systems to improving network security and optimizing hardware performance. Their role often involves problem-solving, programming, and collaborating with other engineers and IT specialists to deliver efficient technology solutions.

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

To thrive as a Computer Science Engineer, you need a solid background in programming, algorithms, data structures, and computer systems, often supported by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, as well as experience using development tools, version control systems (such as Git), and relevant certifications like AWS or Cisco, are highly valued. Strong problem-solving abilities, teamwork, and effective communication help set exceptional engineers apart. These skills are vital for designing, developing, and maintaining reliable software solutions in ever-evolving technical environments.
What are popular job titles related to Computer Science Engineer jobs in Ontario? For Computer Science Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computer Science Engineer jobs in Ontario look for? The top searched job categories for Computer Science Engineer jobs in Ontario are:
Computer Science Engineer jobs near you
Infographic showing various Computer Science Engineer job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $81,723 per year, or $39.3 per hour.

Machine Learning Engineer

Quincus

Toronto, ON

Full-time

Re-posted 17 days ago

Job description

"Make every logistics journey your best one yet"

The Company.
Founded in 2014, Quincus is a B2B supply chain operating SaaS platform headquartered in Singapore. We solve today's global supply chain challenges with groundbreaking technology. Using AI and machine learning, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain. 
 
Quincus was founded by two visionary entrepreneurs who possess more than a decade of experience in tech. Chief Product Officer Katherina-Olivia Lacey is leading a tech revolution in this space while empowering women in the supply chain industry. Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes' 30 Under 30 Asia List in 2020, and also serves on the boards of several startups.  

Overview.
Quincus Research is building the next generation of intelligent systems for all Quincus products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Quincus Research teams collaborate closely with other teams across Quincus, maintaining the flexibility and versatility required to adapt new projects and focuses that meet the demands of the world's fast-paced business needs. 

Job Overview. 
We are looking for a highly motivated and experienced machine learning engineer to join our team and help us develop and deploy deep learning and reinforcement learning algorithms at scale. As a machine learning engineer, you will be responsible for designing and implementing scalable systems for serving models, optimizing inference performance, and managing production workflows. 

Responsibilities: 
- Design and implement scalable systems for serving deep learning and reinforcement learning models.
- Optimize inference performance of deep learning and reinforcement learning models using techniques such as quantization, pruning, and distillation.
- Utilize GPU computing to accelerate model training and inference.
- Develop and deploy production workflows for training and serving machine learning models.
- Collaborate with data scientists and software engineers to design and implement machine learning systems.
- Monitor and improve the performance of machine learning models in production.
- Stay up-to-date with the latest research and techniques in deep learning and reinforcement learning. 
 
Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- 3+ years of experience in software engineering or machine learning engineering.
- Strong programming skills in Python (C++ or Java a plus)
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Experience with GPU programming using CUDA, OpenCL, or similar libraries.
- Experience with distributed systems and cloud computing platforms such as Kubernetes, Docker, GCP, and AWS. 

Preferred Qualifications: 
- Ph.D. in Computer Science, Electrical Engineering, or a related field.
- 5+ years of experience in software engineering or machine learning engineering.
- Experience with reinforcement learning algorithms and frameworks.
- Experience with production deployment of machine learning models and implementation of APIs for big data.
- Strong understanding of computer architecture and performance optimization.
- Strong communication and collaboration skills. 

If you are passionate about developing and deploying machine learning algorithms at scale, and want to join a dynamic team working on cutting-edge technology, we encourage you to apply for this position.
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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