Senior Machine Learning Software Engineer

ODAIA; Toronto; On-site; CAD 120,000 - 150,000; Full time

Benefits offered by this job

Bonuses

Stock options

Flexible benefits

Job summary

RBC Borealis in Toronto is seeking a Senior Machine Learning Software Engineer to own end-to-end ML software development, from data prep and prototyping to production deployment and monitoring, with access to large datasets and cutting-edge resources.

You will work with researchers and product teams to design, build, and scale ML products, implement robust pipelines, and apply best practices across the full software lifecycle, including testing, CI/CD, and observability.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent field.
• 7+ years of experience as a software engineer with ML exposure.
• Experience building modular, scalable ML software and pipelines.
• Proficiency in Python and production-ready software practices.
• Familiarity with data science tooling and DevOps concepts is a plus.

Responsibilities

• Lead development of ML-based software solutions end-to-end across the lifecycle.
• Contribute to design and development of Borealis machine learning products.
• Partner with research and product teams to ensure seamless delivery.
• Apply best practices to build robust, scalable ML software systems.
• Provide documentation and technical advisory for projects.

Skills

Python

Machine Learning

Software engineering

DevOps

Data pipelines

Microservices

Databases

NLP

Time series

Education

Bachelor's degree in CS/Software Engineering

Tools

CI/CD

Containers

Docker

Kubernetes

Job description

Connecting diverse data & AI talent with forward-thinking teams

Senior Machine Learning Software Engineer

At RBC Borealis, you’ll be joining a team of leading researchers and software engineering specializing in machine learning. You will have access to rich and massive datasets, and to computational resources to support novel product development touching machine learning areas such as generative AI, natural language processing, and time series analysis.

We’re looking for an enthusiastic software developer who’s excited by the opportunity of working on challenging problems at the intersection of machine learning and the financial services industry. As a Senior Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing and exploration, to building and scaling ML algorithms and pipelines, to deployment and monitoring of production systems. 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 cutting-edge machine learning R&D.

Your responsibilities include:

• Lead development of machine learning-based software solutions throughout the research and product development lifecycle;
• To play a key role in the design and development of Borealis’ machine learning products;
• To partner with RBC Borealis’s research and product teams to ensure the seamless delivery of these products;
• To apply engineering and data best practices to build robust and scalable large-scale machine learning software systems;
• To support projects with thorough documentation, design decisions, and technical advisory.

You're our ideal candidate if you have:

• A degree in Computer Science, Software Engineering, or equivalent field;
• 7+ years of experience as a software engineer;
• Experience building modular and robust software systems in Python or similar language;
• 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;
• Experience working across the entire ML research and product lifecycle from prototyping to production is a plus;
• Experience building microservices, data pipelines and using relational and non-relational databases is a plus;
• Experience working with data science tooling and deep learning frameworks is a plus;
• Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) is a plus.

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 the AI Group:

RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery - ensuring RBC remains at the frontier of AI-enabled value creation.

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.

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

Job Skills

Big Data Analytics, Client Counseling, Coaching Others, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Software Engineering, Software Product Design

Additional Job Details

Address:

777 BAY ST, TH 27: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:

2026-07-03

Application Deadline:

2026-09-30

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.