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Machine learning engineer • waterloo on
Machine Learning Software Engineer
Royal Bank of Canada420 WES GRAHAM WAY, FLOOR 3 : WATERLOOMachine Learning Software Engineer
Royal Bank of Canada>WATERLOO, CanadaSenior Mechanical Design Engineer
Qidni LabsKitchener, Region of Waterloo, CASenior Staff Machine Learning Engineer, (ML Underwriting)
AffirmKitchener, Region of Waterloo, CAElectrical Engineer (Industrial Automation & Design)
Brock Solutions Inc.Kitchener, Region of Waterloo, CASenior Machine Learning Engineer I
CARTAWaterloo, Ontario, CanadaMachine Learning Researcher
0000050007 Royal Bank of Canada420 WES GRAHAM WAY, FLOOR 3 : WATERLOOStaff Machine Learning Engineer - Ads Targeting
redditRemote, Ontario, CanadaStaff Applied Scientist, AI / ML
KinaxisWaterloo, Region of Waterloo, CASenior AI Engineer : LLMs & Scalable ML Features
HRBKitchener, Region of Waterloo, CALearning Experience Designer, Classroom Success
ForwardeduKitchener, Region of Waterloo, CAData Engineer
Robert HalfKitchener, CADesign Automation Engineer
LuxeTechGreater Kitchener-Cambridge-Waterloo Metropolitan Area, CanadaMachine Learning Engineer
ProNavigatorKitchener, Region of Waterloo, CACo-op Engineer - Machine Learning
Huawei Technologies Canada Co., Ltd.Waterloo, Ontario, CASenior Applied AI / ML Scientist - Ads Platform, Hybrid
FaireKitchener, Region of Waterloo, CAMachine Operator
CB CanadaWaterloo, Ontario, CanadaDirector of Learning and Development
Opportunities @ Schlegel VillagesKitchener, Ontario, Canada- Bradford West Gwillimbury, ON (from $ 92,625 to $ 296,000 year)
- Quinte West, ON (from $ 92,625 to $ 296,000 year)
- Ottawa, ON (from $ 119,591 to $ 271,835 year)
- Victoria, BC (from $ 38,805 to $ 250,000 year)
- Thunder Bay, ON (from $ 142,500 to $ 238,700 year)
- Owen Sound, ON (from $ 128,524 to $ 233,400 year)
- North Bay, ON (from $ 140,000 to $ 228,800 year)
- Prince George, BC (from $ 121,250 to $ 227,300 year)
- Prince Edward, ON (from $ 134,611 to $ 211,725 year)
- Greater Sudbury, ON (from $ 122,925 to $ 200,000 year)
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Machine Learning Software Engineer
Royal Bank of Canada420 WES GRAHAM WAY, FLOOR 3 : WATERLOO- Full-time
Job Description
What's the opportunity? 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 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 :
To build cutting edge ML 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 :
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?
Be part of a dynamic & flexible working environment;
Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
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.