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

Manager, Engineering

Toronto, ON · On-site

CA$96K - CA$136K/yr

Manage and develop engineering teams, including performance management, coaching, and succession ... Strong academic background (e.g., computer science, engineering) * 7+ years relevant experience J ...

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 ...

Data Scientist

Woodbridge, ON

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 ...

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 ...

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 ...

Consulting Manager- EPM

Toronto, ON · On-site

$180 - $185/hr

Manager - Enterprise Performance Management (EPM) Solutions About Voiant Voiant Group Canada, Inc ... Computer Science, Information Systems, Engineering, or Business. * Anaplan Certified Master ...

Qualifications Bachelor's degree in Business, Computer Science, Engineering, or related field; MBA or equivalent an asset. 5+ years' experience in product management, with a focus on data products ...

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

Showing results 21-40

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 Aug 20, 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:

Lead Applied Scientist, Search & Information Retrieval

THOMSON REUTERS

Toronto, ON • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Thomson Reuters rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

41st of 494 rated business services


Job description

Lead Applied Scientist, Search & Information Retrieval

About the Role

This role sits within the applied science function. You will own the design, development, and production deployment of large-scale search and information retrieval systems that power Westlaw, Practical Law, CoCounsel, and next-generation Thomson Reuters search experiences. The problems are real, the scale is large, and the expectation is shipped, reliable, measurable impact.

You will work across retrieval architectures, indexing pipelines, ranking and re-ranking systems, semantic retrieval, hybrid search, and retrieval optimization for complex legal, tax, and accounting content. Multiple product teams depend on what this function delivers.

About You

You hold a PhD in Computer Science, Information Retrieval, Machine Learning, NLP, or a related field, with 8+ years of post-degree industry experience building and deploying search and retrieval systems at scale. You have hands-on depth across indexing, retrieval, ranking, relevance evaluation, and production deployment.

You publish, you mentor, and you measure success by what ships and performs in production. You understand search beyond simply consuming vector databases or retrieval APIs. You have built, optimized, and evaluated search systems that solve real user problems.

What You'll Do
  • Design and deploy search architectures supporting large-scale legal, tax, and enterprise content collections
  • Build and optimize ingestion pipelines that analyze, enrich, and prepare documents for retrieval
  • Develop ranking and re-ranking systems using both traditional IR techniques and modern LLM-based approaches
  • Improve retrieval quality through semantic retrieval, hybrid retrieval, query understanding, and relevance optimization
  • Design evaluation frameworks for retrieval performance, relevance, ranking quality, and end-user outcomes
  • Lead technical decisions around indexing strategies, retrieval architectures, ranking models, and search infrastructure
  • Partner with engineering teams to deliver scalable, reliable, and performant search services
  • Contribute to the development of self-service search platform capabilities used by internal product teams
  • Provide technical input to senior leadership on search, retrieval, and AI strategy
  • Mentor applied scientists and machine learning practitioners across the organization
Required Qualifications
  • PhD in Computer Science, Information Retrieval, AI, Machine Learning, NLP, or a related field preferred
  • 8+ years of industry experience building production search, information retrieval, ranking, or recommendation systems
  • Publications at SIGIR, ACL, EMNLP, NeurIPS, ICLR, KDD, WWW, or equivalent venues
  • Strong production Python skills and experience with PyTorch, Hugging Face Transformers, and distributed model development
Hands-on production depth required in:
  • Search engine architecture, indexing systems, and ingestion pipelines
  • Ranking and re-ranking systems rather than solely consuming search technologies
  • Information retrieval, semantic retrieval, hybrid retrieval, and vector search architectures
  • Query understanding, relevance optimization, and search evaluation methodologies
  • Retrieval systems supporting large collections of text-rich content
  • LLM-enhanced retrieval, RAG architectures, and retrieval optimization
  • End-to-end measurement and evaluation of search quality and user outcomes
Preferred Qualifications
  • Experience with legal, regulatory, tax, scientific, or other text-heavy domains
  • Building retrieval systems over large enterprise knowledge repositories
  • Experience with Elasticsearch, OpenSearch, Solr, Vespa, or similar search technologies
  • API platform development and self-service search platforms
  • Agentic AI systems that incorporate retrieval capabilities
  • AzureML or AWS SageMaker
  • Experience building systems that combine search, retrieval, and document understanding capabilities

#LI-SM2

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

What's in it For You?

  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.

  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

  • Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $147,600 USD - $274,200 USD. For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD. Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. This job posting will close 10/31/2026.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com


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