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Best Computer Science Jobs in Markham, ON (NOW HIRING)

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 ...

MasterCard

Senior Data Scientist

Toronto, ON · On-site

... best practices across the team All About You: Essential Skills to be successful: Bachelor's degree (Master's or PhD preferred) in Data Science, Statistics, Mathematics, Computer Science, or another ...

Braze

Data Scientist, AI Deployment

Toronto, ON · Hybrid

CA$125K - CA$188K/yr

Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field ... Engineering best practices: You write well-structured, modular, documented code; follow strong ...

MasterCard

Data Scientist II

Toronto, ON

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

Clio

Data Scientist

Toronto, ON · Hybrid

CA$131K - CA$150K/yr

A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics ... best work of their careers, wherever they choose to log in from. We believe that different ...

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 ...

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All JobsBest Computer Science JobsBest Computer Science Jobs in Markham, ON

Best Computer Science information

What are some common challenges computer science professionals face when working on large-scale software projects?

Computer science professionals often encounter challenges such as coordinating with cross-functional teams, managing complex codebases, and ensuring software scalability and security in large-scale projects. Effective communication and version control become crucial as multiple developers contribute to the same codebase. Additionally, prioritizing tasks, debugging intricate issues, and meeting tight deadlines require strong organizational and problem-solving skills. Regular collaboration with project managers, designers, and QA engineers is essential to deliver robust and user-friendly software solutions.

What are the best computer science jobs?

The best computer science jobs are roles that offer strong career growth, competitive salaries, and opportunities to work with cutting-edge technology. Popular positions include software developer, data scientist, artificial intelligence engineer, cybersecurity analyst, and systems architect. These jobs typically require a solid foundation in programming, problem-solving skills, and the ability to keep up with technological advancements. The specific 'best' job for an individual often depends on their interests and specialization within computer science.

What's a better word for best?

In the context of a computer science job, alternatives for 'best' include words like 'top,' 'leading,' or 'most qualified,' which can describe high-ranking positions, skills, or candidates. Choosing precise language helps clarify expertise levels or job rankings in resumes or job descriptions.

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 strong foundation in programming, algorithms, data structures, and typically a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), development tools, and version control systems like Git is important, and certifications in areas like cloud computing or cybersecurity can be beneficial. Analytical thinking, creativity, and effective problem-solving and communication skills help you stand out in this role. These skills and qualities are vital for designing innovative solutions, collaborating with diverse teams, and adapting to the rapidly evolving technology landscape.

What is the meaning of best?

In the context of a computer science job, 'best' typically refers to the highest quality, most suitable, or most effective candidate, skill set, or solution. It often involves proficiency in programming languages, problem-solving abilities, and relevant certifications, aiming to meet or exceed industry standards. The term can also relate to top-performing companies or tools within the field.

What is the difference between Best Computer Science vs Software Developer?

AspectBest Computer ScienceSoftware Developer
Required CredentialsBachelor's or higher in Computer Science or related fieldBachelor's in Computer Science, Software Engineering, or related field
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, startups, freelance, corporate IT teams
Industry UsageAcademic, research, industry R&DProduct development, application programming, system design
Common Search/ComparisonFocuses on theoretical and foundational knowledgeFocuses on building and maintaining software applications

While Best Computer Science emphasizes theoretical foundations, research, and broad technical knowledge, Software Developers focus on designing, coding, and maintaining software applications. Both roles often require similar educational backgrounds, but their work environments and primary objectives differ.

Is best or great better?

In the context of a computer science job, both 'best' and 'great' are subjective descriptors of quality or performance. 'Best' typically indicates the highest standard or top ranking, while 'great' suggests a high level of competence or achievement. Employers often look for candidates who demonstrate excellence, which can be associated with either term depending on the context, skills, and experience.
What cities near Markham, ON are hiring for Best Computer Science jobs? Cities near Markham, ON with the most Best Computer Science job openings:
Best Computer Science jobs near you
Infographic showing various Best Computer Science job openings in Markham, ON as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer

Quincus

Toronto, ON

Full-time

Posted 18 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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