Staff Platform Engineer - AI/ML at Royal Bank of Canada

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

29 May, 26

Salary

0.0

Posted On

28 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, MLOps, DevOps, Distributed Systems, Jenkins, Github Actions, AirFlow, KubeFlow, Dagster, Flyte, MetaFlow, Python, Bash, Javascript, UNIX, AWS

Industry

Financial Services

Description

Job Description What's the opportunity? We’re looking for an experienced Machine Learning Platform Engineer who will bring focus and subject-matter expertise around designing and implementing machine learning infrastructure and automation tools (MLOps and DevOps). This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise. 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: Develops and implements innovative machine learning algorithms and models, optimizing their performance to address complex business scenarios and improve operational efficiency. Collaborates with cross functional teams to identify opportunities for leveraging machine learning technologies, translating business challenges into technical solutions, and presenting findings to diverse audiences. Conducts and oversees state of the art research in machine learning and artificial intelligence, authoring scientific papers, presenting at industry conferences, and contributing to the organization's reputation as a leader in the field. Executes on machine learning development tasks or projects, requiring advanced problem solving, decision making and strategic thinking with some ambiguity. Drives decisions on complex issues to develop clear, actionable recommendations for management, ensuring alignment on processes, tools and services with impact across other areas. Leverages advanced and creative skills to resolve complex machine learning development related problems, fostering cross functional collaboration to identify and implement innovative solutions. Leads and facilitates cross functional collaboration efforts, fostering strong internal relationships across the organization and external partnerships to achieve impactful business outcomes. You're our ideal candidate if you have: Strong and relevant experience designing and implementing distributed systems and Machine Learning systems; Working with building and maintaining DevOps pipeline such as Jenkins, GitHub actions; Previous experience with MLOps orchestration tools such as AirFlow, KubeFlow, Dagster, Flyte, or MetaFlow; In-depth knowledge of various stages of the machine learning application deployment process; Experience with building tools and applications to automate various infrastructure and DevOps tasks; Proficiency with programming languages such as Python, Bash, or JavaScript; Solid understanding of the UNIX operating system; Implementing monitoring solutions to identify system bottlenecks and production issues; Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management; Hands-on experience building and deploying hybrid environments on-prem and major cloud environments, such as AWS and Azure; Familiarity with machine learning frameworks such as PyTorch, TensorFlow and/or similar. 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; 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. 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 RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request. #TECHPJ #Ll-POST Job Skills Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages 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: Regular Pay Type: Salaried Posted Date: 2026-02-26 Application Deadline: 2026-03-31 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. 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. 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.

Responsibilities

The role involves developing and implementing innovative machine learning algorithms and models to optimize performance for complex business scenarios and improve operational efficiency. Responsibilities also include conducting state-of-the-art research in AI/ML, authoring scientific papers, and driving strategic decisions for ML development processes.