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Computer Science Manager Jobs in Toronto, ON (NOW HIRING)

TEEMA Group

CAD Technician

Richmond Hill, ON · On-site

CA$60K - CA$65K/yr

Upload and maintain drawings using a document management system * Ensure compliance with quality ... An Associate of Applied Science Degree/diploma in drafting OR Bachelor's degree in electrical or ...

Teema Group

CAD Technician

Richmond Hill, ON · On-site

CA$60K - CA$65K/yr

Upload and maintain drawings using a document management system * Ensure compliance with quality ... An Associate of Applied Science Degree/diploma in drafting OR Bachelor's degree in electrical or ...

Clarivate

Senior Product Manager

Toronto, ON · Hybrid

CA$110K - CA$140K/yr

Clarivate is looking for a Senior Product Manager who will own and drive large, complex, cross-team ... Bachelor's degree in computer science, Statistics, Technology, or Engineering, Life Sciences or ...

Ontario 407

Data Scientist

Woodbridge, ON · On-site

CA$85K - CA$115K/yr

A University degree in Engineering, Statistics, Mathematics, or Computer Science. * Minimum 3-5 ... Organizational skills and time management skills; planning and project management, and ability to ...

Clarivate Analytics

Senior Product Manager

Toronto, ON · Hybrid

CA$110K - CA$140K/yr

Clarivate is looking for a Senior Product Manager who will own and drive large, complex, cross-team ... Bachelor's degree in computer science, Statistics, Technology, or Engineering, Life Sciences or ...

Td

Data Science Intern/Co-op (WINTER 2027)

Toronto, ON

CA$45K - CA$74K/yr

Toronto, Ontario, Canada Hours: 37.5 Pay Details: $45,700 - $74,400 CAD TD is committed to ... S. and internationally - to effectively manage and develop long term strategic plans for TD ...

New

exp

CAD Designer

Brampton, ON

CA$62K - CA$82K/yr

As a team of engineers, architects, designers, scientists, creators, and a community of ... Manage drawing production workflows and maintain drawing standards across projects. * Perform ...

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Showing results 21-40

All JobsComputer Science JobsComputer Science Manager JobsComputer Science Manager Jobs in Toronto, ON

Computer Science Manager information

See Toronto, ON salary details

$21K

$89.5K

$183.7K

How much do computer science manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer science manager in Toronto, ON is $89,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,239.00 and $125,495.00 per year, depending on experience, location, and employer.

What is the difference between Computer Science Manager vs Software Development Manager?

AspectComputer Science ManagerSoftware Development Manager
Required CredentialsBachelor's or Master's in Computer Science or related field; often certifications in project managementBachelor's or Master's in Computer Science, Software Engineering, or related field; project management certifications common
Work EnvironmentOversees technical teams, manages projects, and develops technical strategiesLeads software development teams, manages project timelines, and ensures product delivery
Employer & Industry UsageUsed across tech companies, research institutions, and IT departmentsCommon in software companies, tech startups, and enterprise IT divisions

The main difference is that a Computer Science Manager focuses on overseeing technical teams and research-driven projects, while a Software Development Manager concentrates on managing software projects and development processes. Both roles require strong technical backgrounds and leadership skills, but their focus areas differ slightly based on project scope and technical emphasis.

Which is the highest paid job in computer science?

The highest paid roles in computer science are often executive positions such as Chief Technology Officer (CTO) or Chief Information Officer (CIO), as well as specialized roles like AI Research Directors or Data Science Directors. These positions typically require extensive experience, advanced skills, and leadership responsibilities, and they can command salaries exceeding several hundred thousand dollars annually.

What are the most commonly searched types of Computer Science jobs in Toronto, ON?

The most popular types of Computer Science jobs in Toronto, ON are:

Computer Science Manager jobs near you

Senior Data Scientist-Gen AI, Machine Learning (10483)

Toronto, ON

Extreme Networks
Software Development • 1 - 5K employees
Learn more about Extreme Networksexternal

Full-time

Re-posted 15 days ago

Key responsibilities

  • Define and drive the long-term data science and ML strategy to influence product direction and organizational priorities

  • Lead research initiatives in ML, GenAI, and Graph ML, and establish best practices for scalable adoption

  • Partner with engineering and product teams to align data science innovation with business goals

Job description

Senior Data Scientist - (Gen AI, Machine Learning):
 
Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.
 
This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.
There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.
Job Responsibilities
  • Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities
  • Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption
  • Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments
  • Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation
  • Represent the organization externally through publications, talks, and collaborations, strengthening the company's thought leadership in AI and ML
Requirements:
  • Degree in Computer Science, Mathematics, or a related field
  • 8+ years of experience in applied ML research and production deployment
  • 3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production
  • Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production
  • Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems
  • Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP
  • Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impact
Preferred Qualifications
  • MS or PhD in Computer Science, Machine Learning, or a related discipline
  • Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse
  • Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks
  • Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment
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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