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Machine Learning Summer Internship Jobs in Quebec

Intelcom

R&D Solution Builder Intern

Montreal, QC · On-site

Make your internship count At Intelcom, interns don't just observe, they contribute meaningfully to ... applied machine learning is a plus. * Curious, proactive, and eager to experiment. * Strong ...

Intelcom

AI Data Analyst Intern

Montreal, QC

Make your internship count At Intelcom, interns don't just observe, they contribute meaningfully to ... Apply AI and machine learning techniques to develop and evaluate predictive models * Communicate ...

Valence Labs

ML Intern, Research

Montreal, QC

About the role We're seeking motivated interns to contribute to the development of AI systems ... In addition, we highly value proficiency with state-of-the-art machine learning algorithms and ...

Soucy

Mission At Soucy, we believe that people are more important than parts and machines. By pooling our ... At Kimpex, your internship is much more than just an experience: it's an opportunity to develop ...

Maya HTT

AI Development Team Lead

Montreal, QC · Hybrid

... machine learning, IIoT, operational technologies, and Industry 4.0. Role Summary: The AI ... We promote a Healthy Work-Life Balance with a Flexible PTO Policy, Sick/Personal Days, and a Summer ...

Maya HTT

AI Development Team Lead

Montreal, QC · Hybrid

... machine learning, IIoT, operational technologies, and Industry 4.0. Role Summary: The AI ... We promote a Healthy Work-Life Balance with a Flexible PTO Policy, Sick/Personal Days, and a Summer ...

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Machine Learning Summer Internship information

What are the key skills and qualifications needed to thrive as a Machine Learning Summer Intern, and why are they important?

To thrive as a Machine Learning Summer Intern, you need a solid background in mathematics, statistics, and programming (especially Python), often supported by ongoing coursework in computer science or related fields. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and data analysis tools is typically required. Strong problem-solving skills, curiosity, and teamwork are important soft skills that help interns contribute effectively and learn quickly. These skills and qualities are crucial for applying theoretical knowledge, collaborating on real projects, and adapting to the fast-evolving field of machine learning.

What types of projects can I expect to work on during a Machine Learning Summer Internship?

As a Machine Learning Summer Intern, you can expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of algorithms into production environments. Interns often work alongside data scientists and engineers on real-world datasets to solve business problems, develop prototypes, or improve existing models. This hands-on experience will help you gain practical skills in using popular ML frameworks and understanding the end-to-end machine learning workflow.

What is a Machine Learning Summer Internship?

A Machine Learning Summer Internship is a temporary, typically 8-12 week program for students or recent graduates to gain practical experience in machine learning. Interns work under the supervision of experienced professionals, contributing to real-world projects involving data analysis, model development, and algorithm implementation. These internships often provide mentorship, networking opportunities, and exposure to the latest tools and technologies in the field. They are valuable for building technical skills and improving career prospects in artificial intelligence and data science.

What is the difference between Machine Learning Summer Internship vs Data Science Summer Internship?

AspectMachine Learning Summer InternshipData Science Summer Internship
Required CredentialsBasic programming, math, and machine learning knowledgeProgramming, statistics, and data analysis skills
Work EnvironmentDeveloping ML models, algorithms, and prototypesData analysis, visualization, and reporting
Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech firms

Both internships involve working with data and require programming skills, but Machine Learning Summer Internships focus on developing algorithms and models, while Data Science Summer Internships emphasize data analysis and insights. The choice depends on your interest in building models versus analyzing data.

What are popular job titles related to Machine Learning Summer Internship jobs in Quebec? For Machine Learning Summer Internship jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Machine Learning Summer Internship jobs in Quebec look for? The top searched job categories for Machine Learning Summer Internship jobs in Quebec are:
What cities in Quebec are hiring for Machine Learning Summer Internship jobs? Cities in Quebec with the most Machine Learning Summer Internship job openings:
Machine Learning Summer Internship jobs near you
Infographic showing various Machine Learning Summer Internship job openings in Quebec as of May 2026, with employment types broken down into 3% Internship, 19% Full Time, 74% Part Time, 3% Temporary, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.
Senior Machine Learning Researcher

Senior Machine Learning Researcher

Royal Bank of Canada

Montreal, QC • On-site

Full-time

Posted 18 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:
  • Technical Contribution. Apply deep technical expertise and scientific rigour to AI projects, working within and across teams;
  • Research Innovation. Develop innovative machine learning approaches and novel intellectual property;
  • Product Delivery. Iteratively refine and deliver machine learning concepts from proof of concept through to product delivery;
  • Research Excellence. Contribute to defining our research vision, publish papers, and communicate internally and externally around machine learning research;
  • Collaboration. Work closely with team members including other researchers, engineers, and interns to advance AI research and solutioning.
  • Communication. In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide.
You're our ideal candidate if you have:
  • A Ph.D. degree in Computer Science or a related technical field;
  • At least 2 years of experience as a machine learning researcher or engineer in a product-centric environment or equivalent experience;
  • Expertise in machine learning, with experience with large language models and natural language processing being a plus;
  • Experience delivering high-impact machine learning products;
  • Experience mentoring junior researchers and engineers;
  • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
  • The ability to formulate and drive a research project independently;
  • Exceptional communication skills;
  • 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.

Designs and implements cutting edge machine learning methodologies and algorithms to solve complex, high impact problems, ensuring alignment with organizational goals and industry benchmarks.
Leads the development and deployment of scalable AI platforms and tools, providing strategic guidance and technical expertise to cross functional teams and stakeholders.
Authors and presents peer reviewed publications, represents the organization at international conferences, and collaborates with the scientific community to establish the organization as a leader in AI research.
Mentors and provides technical leadership to junior researchers, disseminating knowledge, reviewing research outputs, and fostering innovation to enhance organizational capabilities in machine learning.
Leads complex machine learning research initiatives, solving abstract problems and delivering impactful solutions using advanced technical and business expertise.
Oversees decision making for highly complex issues with significant financial or operational impact, providing clear direction and actionable recommendations to management on key organizational priorities.
Develops and implements innovative solutions to address highly complex machine learning research related problems ensuring alignment with organizational goals.
Cultivates and maintains high impact relationships across multiple areas to provide strategic insights and delivering measurable value as a trusted advisor.

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

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