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Computer Science Engineer Jobs in Ontario (NOW HIRING)

Td

Sr. Full Stack Data Science Engineer

Toronto, ON · On-site

CA$154K - CA$199.50K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $154,000 - $199,500 CAD The pay details ... Lead cross-functional collaboration with data scientists, engineers, IT partners, and business ...

Targeted Talent

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Targeted Talent

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Waabi

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

SS&C

Software Engineer P2 - PA2026Q1JB050

Toronto, ON · Hybrid

Computer Science/Engineer related Bachelor's degree; or Master's degree; or 3 years of equivalent work-related experience * Developing and maintaining SaaS applications. * A subset of JavaScript, CSS ...

HeyGen

Research Engineer

Toronto, ON · On-site

We are in search of passionate Research Scientists with a specialization in Computer Vision to ... Collaborative Engineering and Growth: Engage with a diverse team where collaborative efforts lead ...

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 ...

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Computer Science Engineer information

See Ontario salary details

$22K

$81.7K

$165K

How much do computer science engineer jobs pay per year?

As of May 30, 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 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 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 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 May 2026, with employment types broken down into 1% As Needed, 89% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $81,723 per year, or $39.3 per hour.

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

Ottawa, ON • Remote

Full-time

Posted 2 days ago

Job description

Company Description

An enterprise client is seeking highly technical Computer Science Experts with PhDs to support the training and evaluation of advanced AI models. This initiative focuses on improving the accuracy, reasoning, and domain expertise of generative AI systems through expert human feedback.

The selected candidates will contribute to the company's large AI training project by evaluating AI-generated responses, developing domain-specific prompts, and assessing technical accuracy across complex Computer Science topics. This is a fully remote, freelance opportunity with flexible working hours and the potential for ongoing work beyond the initial project timeline.

    Job Description

    This opportunity is ideal for highly analytical professionals with advanced academic or industry experience in Computer Science or related technical fields.

    What You'll Do:

    • Assess the factual accuracy, relevance, and quality of AI-generated Computer Science content
    • Craft and answer domain-specific questions related to Computer Science and adjacent technical disciplines
    • Evaluate and rank AI-generated responses based on technical correctness and reasoning quality
    • Provide expert-level feedback to improve AI model performance and domain understanding
    • Support AI training initiatives by applying research, analytical thinking, and technical expertise

    This role is a strong fit for professionals with backgrounds in:

    • Computer Science
    • Software Engineering
    • Machine Learning
    • Cybersecurity
    • Distributed Systems
    • Computational Science
    • Information Theory
    • Quantitative Finance (highly preferred)
    • Statistics
    • Electrical & Computer Engineering
    • Technical Research or Academia
    Qualifications

    Requirements:

    • Native or fluent English communication skills (written and verbal)
    • PhD in Computer Science or a closely related technical field
    • Experience working as a software engineer, researcher, or in another highly technical or analytical role
    • Strong technical reasoning and attention to detail
    • Ability to assess complex AI-generated technical outputs with accuracy and consistency

    Nice to Haves:

    • Strong academic or industry research background
    • Experience reviewing technical content, publications, or research outputs
    • Familiarity with AI systems, large language models, or AI evaluation workflows
    • Experience in advanced Computer Science domains such as machine learning, distributed systems, or cybersecurity

    Additional Information
    • Fully remote freelance opportunity with flexible working hours
    • Work is expected to begin immediately and continue through the end of June, with potential extensions
    • Compensation: Up to $150 USD per hour based on project participation
    • Weekly lump-sum payments issued for completed work tracked within the client platform
    • No guaranteed hours or task volume; work availability may vary weekly
    • Candidates must be physically located in one of the following regions: United States, Canada, Puerto Rico, Mexico, Great Britain, Australia, New Zealand, or Argentina
    • Selected candidates will receive onboarding instructions and platform access after acceptance
    • Candidates should not independently create an Outlier profile prior to onboarding