2027 Winter Student Opportunities RBC Borealis - Machine Learning Software Engineer, 4-8 Months

0000050007 Royal Bank of Canada; Toronto; On-site; CAD 42,000 - 54,000; Full time

Job summary

RBC Borealis seeks a Co-op Machine Learning Software Engineer to work end-to-end on ML projects, from data processing to deploying ML models and front-end work. You will join a team collaborating with researchers and leverage massive datasets with scalable resources.

Ideal candidates are pursuing a CS/CE/SE degree, have coding experience in C++, C#, Java, or Python, and are familiar with Unix bash. Experience with TensorFlow, PyTorch, or Spark is a plus.

Qualifications

• Pursuing a bachelor's or master's in CS/CE/SE or equivalent.
• Experience with one of major languages (C++, C#, Java, Python) is expected.
• Familiarity with Unix command line and bash scripting.
• Experience with Deep Learning packages is a plus.
• Exposure to distributed computing frameworks and databases is a plus.

Responsibilities

• Build ML-based software solutions for significant problems.
• Collaborate with research and business teams to converge on best solutions.
• Optimize algorithms for efficient implementation and extend prototypes into production-ready solutions.
• Document usage, design decisions, and capabilities thoroughly.
• Handle large datasets using distributed frameworks like Hadoop/Spark.

Skills

C++

C#

Java

Python

Bash

TensorFlow

PyTorch

Keras

Theano

Hadoop

Spark

SQL

NoSQL

Graph databases

Education

Bachelor’s/Master’s in CS/CE/SE

Tools

Hadoop

Spark

TensorFlow

PyTorch

Keras

Theano

Job description

Job Description
LOCATION: TORONTO, VANCOUVER, CALGARY

What’s the opportunity?

We’re looking for an enthusiastic software engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Co-op Machine Learning Software Engineer, you’ll be involved a project end to end – everything from data pre-processing to implementing machine learning algorithms and front-end development. At RBC Borealis, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at rbcborealis.com.

Responsibilities

• Building machine learning-based software solutions for solving important problems;
• Collaborating with research and business teams to converge on the best solutions;
• Optimizing algorithms and prototypical solutions for efficient implementation;
• Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
• Supporting projects with thorough documentation of usage, design decisions and capabilities;
• Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);

Ideal candidate if you:

• Are working on a bachelors or masters degree in Computer Science, Computer Engineering, Software Engineering, or equivalent;
• Have some software development experience (including co-op and internships);
• Have experience with writing software in one of the major languages such as C++, C#, Java, Python;
• Have familiarity with the Unix command line and bash scripting;
• Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
• Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases is an asset;

What's in it for you?

Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential; Ability to make a difference and lasting impact from a local-to-global scale.

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.

Additional Job Details
Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Student/Coop (Fixed Term) Pay Type: Salaried Posted Date: 2026-08-17 Application Deadline: 2026-09-21 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. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.