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Full Time Computer Science Jobs in Quebec (NOW HIRING)

Qualifications * Bachelor's or Master's degree in Computer Engineering or Computer Science ... Job Types: Full-time, Permanent CS Group Canada values ​​diversity in the workplace and ...

As part of its expansion, Index is looking for a new full time Software Engineer to be part of its ... Degree in computer science or similar * Contributed to open-source projects * International ...

Competitive annual salary and yearly bonus * Full-time, permanent position, Monday to Friday ... Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field * 5 to ...

Competitive annual salary and yearly bonus * Full-time, permanent position, Monday to Friday ... Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field * 5 to ...

Why Join Sanimax Competitive annual salary and yearly bonus Full-time, permanent position, Monday ... Computer Science, Software Engineering, or a related field 5 to 10 years of experience in ...

Competitive annual salary and yearly bonus * Full-time, permanent position, Monday to Friday ... Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field * 5 to ...

Full-Stack JavaScript Developer Hubelia - Montréal, Pointe-aux-Trembles Full-time - permanent $19 ... computer science or equivalent experience • Good knowledge of JavaScript and the latest ES6 ...

Competitive annual salary and yearly bonus * Full-time, permanent position, Monday to Friday ... Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field * 5 to ...

Competitive annual salary and yearly bonus * Full-time, permanent position, Monday to Friday ... Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field * 5 to ...

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Showing results 1-20

Full Time Computer Science information

What jobs do most CS majors get?

Most computer science majors find employment as software developers, computer programmers, or systems analysts. They often work in roles involving coding, software design, and problem-solving, frequently using programming languages like Java, Python, or C++. Many also pursue positions in cybersecurity, data analysis, or IT support depending on their skills and interests.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-paying industries like finance or technology, can earn $500,000 or more annually, often through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in areas like machine learning or distributed systems, and working at top-tier companies or startups with significant funding.

What does a typical day look like for a full-time computer science professional and how do they collaborate with other teams?

A typical day for a full-time computer science professional often involves a mix of coding, problem-solving, and meetings. You may spend several hours developing, testing, and debugging software, as well as reviewing code written by colleagues. Collaboration is key, as you frequently work with cross-functional teams such as product managers, designers, and quality assurance to ensure that projects meet user requirements and are delivered on time. Clear communication and teamwork are essential, especially when resolving issues or integrating new features. This structure fosters a dynamic environment where learning and adapting to new technologies is encouraged.

Is computer science dead due to AI?

Computer science professionals continue to be in demand as AI advances, with roles involving software development, data analysis, and machine learning. AI tools often require expertise in programming languages, algorithms, and systems design, making foundational computer science skills essential for adapting to technological changes.

What are full time computer science jobs?

Full time computer science jobs are positions where individuals work at least 35-40 hours per week in roles that involve the application of computer science principles. These roles can include software developer, systems analyst, data scientist, cybersecurity specialist, and more. Full time positions often include benefits such as health insurance, paid time off, and retirement plans. They typically require a degree in computer science or a related field, and may involve working for technology companies, financial institutions, research organizations, or government agencies.

What professions make 200,000 a year without a degree?

In the tech industry, roles such as software developers, cybersecurity specialists, and data engineers can earn $200,000 or more annually through experience, specialized skills, and certifications like AWS or Cisco. High-paying positions often require strong technical expertise, problem-solving abilities, and continuous learning, even without a formal degree.

What is the difference between Full Time Computer Science vs Software Developer?

AspectFull Time Computer ScienceSoftware Developer
Required CredentialsBachelor's or higher in Computer Science or related fieldOften similar; degree preferred but not always required
Work EnvironmentAcademic, research, or corporate settingsTech companies, startups, or freelance projects
Industry UsageUniversities, research labs, tech firmsSoftware companies, IT services, app development
Common Search IntentEducational paths, career options in CSJob roles, skills, and project work in software development

Full Time Computer Science typically refers to a degree-focused, academic or research-oriented role requiring formal education. Software Developer roles are more practical, project-based, and often focus on coding and application development. While overlapping in skills and credentials, Full Time Computer Science emphasizes foundational knowledge, whereas Software Developer positions are more about applying that knowledge in real-world projects.

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 solid background in algorithms, programming, and mathematics, typically supported by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), version control systems like Git, and often certifications in areas like cloud computing or data science are commonly required. Analytical thinking, problem-solving, and effective teamwork are soft skills that set individuals apart in this role. These abilities are vital for developing innovative solutions, collaborating on complex projects, and adapting to rapidly evolving technology.
What are the most commonly searched types of Computer Science jobs in Quebec? The most popular types of Computer Science jobs in Quebec are:
Infographic showing various Full Time Computer Science job openings in Quebec as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.
Senior Machine Learning Researcher

Senior Machine Learning Researcher

Royal Bank of Canada

Montreal, QC • On-site

Full-time

Re-posted 2 days ago


Job description

Job Description

RBC Borealis is looking for an enthusiastic Senior Machine Learning Researcher who's excited by the opportunity of being at the forefront of machine learning technology and working on extremely challenging problems in the financial services industry. As a Senior Machine Learning Researcher, you'll be part of a collaborative team delivering AI projects end to end, covering everything from scoping and defining the AI problem, to data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products.
At RBC Borealis you'll be joining a team that works directly with leading researchers in machine learning; and you'll have access to rich and massive datasets and to the computational resources that support cutting-edge machine learning R&D.
Your responsibilities include:
  • Drive Research Strategy: Formulate and lead independent research projects that solve complex, high-impact problems. Define success metrics aligned with both business goals and scientific rigor;
  • Design & Implement ML Solutions: Architect and deploy scalable ML systems and algorithms. Provide technical guidance to cross-functional teams on implementation and optimization;
  • Build Organizational Expertise: Mentor junior researchers and engineers. Review research outputs, disseminate knowledge, and foster a culture of innovation;
  • Establish Thought Leadership: Author peer-reviewed publications, present at top-tier conferences (NeurIPS, ACL, EMNLP, etc.), and position the organization as an AI research leader;
  • Advise Leadership: Synthesize complex technical and business considerations. Provide clear, actionable recommendations on high-stakes decisions with significant financial or operational impact;
  • Cultivate Strategic Relationships: Build trusted partnerships across teams and external collaborators to deliver measurable value and shape organizational direction.
You're our ideal candidate if you have:
  • A Ph.D. degree in Computer Science or a related technical field;
  • 2+ years of experience as a machine learning researcher or engineer in a product-centric environment or equivalent experience;
  • Deep expertise in machine learning; LLM and NLP experience a plus;
  • Track record of delivering high-impact ML products from concept to production
  • Experience mentoring junior technical talent;
  • Exceptional communication skills-able to translate complex ideas for diverse audiences;
  • A history of high-quality academic publications (e.g., NeurIPS, ACL, EMNLP, CVPR, ICLR, ICML etc.).
What's in it for you?
Join a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
Leaders who support your development through coaching and managing opportunities;
Ability to make a difference and lasting impact from a local-to-global scale.

Job Skills

Collaboration, Communication, Computer Programming, Data Science, Large Language Models (LLMs), Machine Learning (ML)

Additional Job Details

Address:

401 GEORGIA ST W:VANCOUVER

City:

Vancouver

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-06

Application Deadline:

2026-10-05

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME