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Best Paying Computer Science Jobs in Toronto, ON

Quincus

Machine Learning Engineer

Toronto, ON

"Make every logistics journey your best one yet" The Company. Founded in 2014, Quincus is a B2B ... To achieve this, we're working on projects that utilize the latest computer science techniques ...

TELUS

Data Scientist

Toronto, ON · On-site

Document analytical findings and architectural decisions clearly, and mentor team members on data best practices. Qualifications What you bring * Master's degree in Computer Science, Data Science ...

TELUS

Data Scientist

Mississauga, ON · On-site

Document analytical findings and architectural decisions clearly, and mentor team members on data best practices. Qualifications What you bring * Master's degree in Computer Science, Data Science ...

Spatial DNA

Integration Specialist / Developer

Toronto, ON · On-site

CA$80K - CA$125K/yr

We directly affect the lives of millions of citizens, rate-payers, businesses, and students. We're ... You might have a qualification in software engineering, geomatics, or computer science, but you ...

MasterCard

Data Scientist II

Toronto, ON · On-site

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or another ... following Data Science best practices. Ability to collaborate effectively through code ...

Hibernian General Insurance

Data Scientist

Toronto, ON

CA$80K - CA$120K/yr

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ... Familiarity with data warehouse concepts, ETL strategies and data engineering best practices. * A ...

Hibernian General Insurance

Data Scientist

Markham, ON

CA$80K - CA$120K/yr

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ... Familiarity with data warehouse concepts, ETL strategies and data engineering best practices. * A ...

Intact Financial

Senior Data Scientist

Toronto, ON · Hybrid

Lead and enforce data science best practices: coding, peer-review, experimentation and testing. What you bring to the table: * Master's degree in a relevant discipline (computer science, mathematics ...

The Trade Desk

Applied Scientist II

Toronto, ON

... using the best tools for the job. However, we find that the most successful candidates typically come in with something like the following experience: * BS/MS in Mathematics, Computer Science ...

DAC Group

Senior Data Scientist

Toronto, ON · On-site

Establish best practices for statistical rigor, model validation, and analytical quality across the ... Computer Science, or related quantitative field * 4-5 years of hands-on experience in applied ...

Hitachi

Safety Specialist, Senior

Toronto, ON · On-site

CA$89K - CA$115K/yr

... best practices. * Report directly to the Manager, RAMS Engineering and liaise with the Chief Safety Architect Key Requirements * B.Sc. in Electronics, Computer Science, Electrical Engineering or ...

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Best Paying Computer Science information

What are the best paying jobs in computer science?

The best paying jobs in computer science typically include roles such as software architect, machine learning engineer, data scientist, cloud solutions architect, and cybersecurity engineer. These positions often require advanced skills in programming, systems design, and data analysis, as well as experience with the latest technologies. Salaries can vary depending on location, level of experience, and the specific industry, but these roles consistently rank among the highest paying in the tech sector. Many of these positions also offer additional benefits and opportunities for career advancement.

What is the difference between Best Paying Computer Science vs Software Engineer?

AspectBest Paying Computer ScienceSoftware Engineer
Required CredentialsBachelor's or Master's in Computer Science, certifications like AWS, CiscoBachelor's in Computer Science or related field, coding certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, startups, corporate IT departments
Employer & Industry UsageUniversities, research institutions, high-tech companiesSoftware development firms, tech giants, consulting
Common Search & Comparison IntentHigh-paying roles in CSSoftware development salaries & roles

Best Paying Computer Science roles often include specialized positions like data scientist or AI researcher, which may require advanced degrees and certifications. Software Engineers focus on designing, coding, and maintaining software applications. While both roles require a computer science background, Best Paying Computer Science positions tend to offer higher salaries due to specialization and industry demand, especially in research or executive roles.

What are common challenges faced by professionals in high paying computer science roles, and how can candidates prepare for them?

Professionals in high-paying computer science roles often face challenges such as keeping up with rapidly evolving technologies, managing complex projects, and collaborating across multidisciplinary teams. Candidates can prepare by regularly updating their technical skills, gaining experience with project management tools, and developing strong communication abilities. Additionally, being adaptable and proactive in learning new programming languages and frameworks can help professionals stay competitive and successful in these demanding positions.

What are the key skills and qualifications needed to thrive in a best paying computer science role?

To excel in top-paying computer science roles, you typically need strong programming skills, expertise in algorithms and data structures, and a relevant computer science degree. Familiarity with technical tools like Python, Java, cloud platforms, and frameworks, along with certifications in areas like AWS or machine learning, is often required. Outstanding problem-solving abilities, teamwork, and effective communication are soft skills that help professionals stand out. These skills and qualifications are crucial for developing innovative solutions, collaborating on complex projects, and driving business success in a technology-driven environment.
What are popular job titles related to Best Paying Computer Science jobs in Toronto, ON? For Best Paying Computer Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Best Paying Computer Science jobs in Toronto, ON look for? The top searched job categories for Best Paying Computer Science jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Best Paying Computer Science jobs? Cities near Toronto, ON with the most Best Paying Computer Science job openings:
Best Paying Computer Science jobs near you
Infographic showing various Best Paying Computer Science job openings in Toronto, ON as of August 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Summer. Highlights an 89% In-person, and 11% Hybrid job distribution.

Machine Learning Engineer

Quincus

Toronto, ON

Full-time

Re-posted 5 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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