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2026 Summer Student Opportunities RBC Borealis -Machine Learning Software Engineer, 4 Months - [...]

RBC

Montreal

On-site

CAD 25,000 - 35,000

Full time

Today
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Job summary

A leading financial institution is looking for a Machine Learning Software Engineer co-op in Montreal. In this role, you will build and integrate machine learning solutions and collaborate closely with engineers and product managers. Ideal candidates are enrolled in a relevant Canadian institution, possess strong Python skills, and have excellent communication abilities. This position offers a dynamic environment with opportunities for personal and professional growth.

Benefits

Networking opportunities
Fun events and gamification challenges
Support for personal development

Qualifications

  • Currently enrolled at a Canadian post-secondary institution in a relevant field.
  • Strong Python programming skills are a must.
  • Excellent communication skills, both verbal and written.

Responsibilities

  • Build and integrate machine learning solutions to enhance user experience.
  • Contribute to the backend engine of the application.
  • Collaborate with engineers and product managers to translate requirements.

Skills

Excellent interpersonal skills
Creative and analytical thinking
Great Python programming abilities
Strong MS Office skills
Enthusiasm for learning

Education

Enrollment at a Canadian post-secondary institution in Computer Science, Computer Engineering, Software Engineering

Tools

Deep Learning packages (ONNX, Keras, PyTorch)
AI engineering packages (instructor, OpenAI, transformers)
Job description
Job Description

LOCATION: Montreal

What is the opportunity?

Are you interested in working as a Machine Learning Software Engineer co‑op on the Innovation & Tech team in Technology & Operations at the Royal Bank of Canada?

RBC‘s [GenAI powered training team] is responsible for [providing a safe space where advisors can practice conversations with specific learning objectives. The application provides coaching and verifies that advisors have attained the learning objectives of each conversation scenario.].

What will you do?
  • Build and integrate machine learning solutions to enhance functionality and user experience.
  • Contribute to the backend engine of our application
  • Prototype new features and showcase them to the team
  • Address bugs end‑to‑end: from identification and solution design to deployment of fixes
  • Collaborate with engineers and product managers to translate requirements into technical solutions
What do you need to succeed?
Must‑have
  • Currently enrolled at a Canadian post‑secondary institution with a focus on Computer Science, Computer Engineering, Software Engineering, or equivalent
  • Excellent interpersonal and highly developed communication skills (verbal and written)
  • Creative and analytical thinker who is self‑driven and capable of working in a fast‑paced environment
  • Strong MS Office skills – Word, Outlook, Excel and PowerPoint
  • Great python programming abilities
  • Enthusiasm for learning on the job
  • A preference for elegant solutions
Nice‑to‑have
  • Experience with Deep Learning packages such as ONNX, Keras or PyTorch is an asset;
  • Experience with AI engineering packages such as instructor, openai, transformers is an asset;
  • Exposure to distributed computing frameworks as well as SQL, NoSQL is an asset;
  • Transferrable Skills: Communication, Time Management, Analytical Thinking, Problem Solving, Results Driven, Curiosity, Strategic Thinking
What’s in it for you?
  • Network and build lasting relationships with students from diverse backgrounds from across Canada
  • Participate in fun events and gamification challenges to help build your career tool kit while enjoying work‑life balance
  • Leaders who support your development through coaching and learning opportunities
  • Work in a dynamic, collaborative, progressive and high‑performing team
  • Ability to make a difference and lasting impact
  • Enjoy a comfortable work environment with the option to dress casually
About RBC Borealis

RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world‑class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting‑edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data‑driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is January 18, 2026. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

Job Skills
Additional Job Details

Address: 6666 RUE ST URBAIN, FLOOR 3: MONTRÉAL

City: Montréal

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform:

Job Type: Student/Coop (Fixed Term)

Pay Type: Salaried

Posted Date: 2025-12-12

Application Deadline: 2026-01-19

Note

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

Inclusion and Equal Opportunity Employment

At 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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