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Machine Learning Jobs in Quebec (NOW HIRING)

Capco

Machine Learning Engineer

Montreal, QC

Design, build, and optimize machine learning models that power data-driven decisions The Role We are seeking a Machine Learning Engineer to join a collaborative team delivering advanced analytics and ...

SAP

Senior AI Machine Learning Engineer

Montreal, QC · On-site

About the Role We are hiring a Senior Machine Learning Engineer Scientist to lead the development of scalable graph-based and transformer-based modeling systems, along with production-grade ML ...

TELUS

L4 Technical Professional

Montreal, QC

In this position, you will be responsible for leading the development and maintenance of machine learning pipelines, including continuous integration, continuous monitoring and continuous deployment ...

Royal Bank of Canada

Research Engineer

Montreal, QC · On-site

We're looking for an enthusiastic Machine Learning Research Engineer who's excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a ...

TELUS

Staff Applied AI/ML Scientist

Montreal, QC

As a Machine Learning Specialist on the team, you will combine your expert knowledge of data science with your strong ML Ops and software development skills to automate and facilitate data ...

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All JobsMachine Learning JobsMachine Learning Jobs in Quebec

Machine Learning information

See Quebec salary details

$108K

$157.7K

$196K

How much do machine learning jobs pay per year?

As of Jun 25, 2026, the average yearly pay for machine learning in Quebec is $157,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $187,500.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
What are the most commonly searched types of Machine Learning jobs in Quebec? The most popular types of Machine Learning jobs in Quebec are:
What are popular job titles related to Machine Learning jobs in Quebec? For Machine Learning jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Quebec look for? The top searched job categories for Machine Learning jobs in Quebec are:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Quebec as of June 2026, with employment types broken down into 2% Internship, 84% Full Time, 9% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $157,676 per year, or $75.8 per hour.
Senior Machine Learning Researcher

Senior Machine Learning Researcher

Royal Bank of Canada

Montreal, QC

Full-time

Posted 15 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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

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

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