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

Job Description LOCATION: Montreal 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. Your responsibilities include: 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.); You’re our 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. Required Documents: Resume and Academic Transcripts (unofficial are acceptable) in one PDF document Please ensure you submit these two documents in one PDF document under the “resume” section. Do not submit them separately. 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 September 20, 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. EARLYTECHTALENT Job Skills Artificial Intelligence Technologies, Big Data Analytics, Critical Thinking, Decision Making, Group Problem Solving, Industry Knowledge, Machine Learning (ML), Software Engineering, Software Product Design 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: 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. 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.

The candidate will build machine learning-based software solutions and collaborate with research teams to implement algorithms. Responsibilities also include optimizing prototypical solutions and managing massive datasets using distributed computing frameworks.

Candidates must be pursuing a bachelor's or master's degree in Computer Science, Engineering, or a related field. Proficiency in at least one major programming language and familiarity with Unix command line tools are required.

• Collaborative team environment • Professional growth opportunities • Inclusive workplace

• SQLSouhaitée
• Apprentissage automatiqueSouhaitée
• JavaSouhaitée
• C++Souhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Machine Learning
• Software Engineering
• Python
• C++
• Java
• C#
• Deep Learning
• Tensorflow
• PyTorch
• Hadoop
• Spark
• SQL
• NoSQL
• Bash Scripting
• Data Pre-processing
• Computer Vision
• Big Data Analytics
• Time Series Analysis And Forecasting
• Software Solutions
• Responsible AI
• Workplace Inclusivity
• Platform Design And Development
• AI Research
• Resilience
• Data Preprocessing
• Research
• Artificial Intelligence
• Algorithms
• Software Development
• Bash (Scripting Language)
• Big Data
• C# (Programming Language)
• C++ (Programming Language)
• Decision Making
• Computer Science
• Computer Engineering
• Critical Thinking
• Data Engineering
• Distributed Computing
• Finance
• Financial Services
• Graph Database
• Apache Hadoop
• Scalability
• Innovation
• Problem Solving
• Python (Programming Language)
• Machine Learning Algorithms
• Operations
• TensorFlow

• Technology
• Software
• Data & Analytics
• Science & Research
• Finance & Accounting
• Machine Learning Software Engineer
• Machine Learning Engineer
• Software Developers
• Computer and Information Research Scientists

Formation minimale

Baccalauréat

Expérience minimale

0+ ans

Langue de l’offre

anglais

Heures de travail

38 heures par semaine