RBC Borealis is the driving force behind Royal Bank of Canada's AI and data innovation, focusing on AI research and platform development.

RBC Borealis, the AI innovation arm of Royal Bank of Canada, is seeking a Machine Learning Platform Engineer II to join their team. This role presents an exciting opportunity to work at the intersection of machine learning infrastructure and enterprise solutions.

The position involves designing and implementing machine learning infrastructure and automation tools, with a focus on MLOps and DevOps practices. You'll be working alongside leading ML researchers and have access to extensive computational resources and rich datasets, particularly in areas like Generative AI, unsupervised learning, and reinforcement learning.

As a Machine Learning Platform Engineer, you'll be responsible for building and optimizing ML deployment tools, implementing best practices for data pipelines, and creating scalable systems for hosting machine learning applications. The role requires expertise in Python or Java, strong knowledge of the ML model development lifecycle, and experience with MLOps orchestration tools.

The ideal candidate will have a Bachelor's degree in Computer Science or Software Engineering, along with hands-on experience in transforming large-scale datasets using SQL and tools like OLAP databases or Spark. Experience with cloud environments (AWS, Azure) and ML frameworks like PyTorch or TensorFlow is a plus.

RBC Borealis offers a comprehensive benefits package including competitive compensation, bonuses, flexible benefits, and stock options. The company maintains a collaborative culture focused on professional development and making a lasting impact from local to global scale. With locations across major Canadian cities, RBC Borealis is at the forefront of AI research and platform development, working on cutting-edge problems in areas like time series forecasting, causal machine learning, and responsible AI.

This role offers the unique opportunity to work with massive datasets and advanced computational resources while contributing to the development of enterprise-scale machine learning solutions. You'll be part of a team that values progressive thinking and collaborative work, with leaders who support professional development through coaching and managed opportunities.

Machine Learning Platform Engineer II role at RBC Borealis, focusing on designing and implementing ML infrastructure and automation tools.

Machine Learning Platform Engineer II

RBC Borealis, the AI innovation arm of Royal Bank of Canada, is seeking a Machine Learning Platform Engineer II to join their team in Montreal. This role presents an exciting opportunity to work at the intersection of ML infrastructure and enterprise solutions. The position involves designing and implementing MLOps and DevOps tools, working alongside leading ML researchers with access to extensive datasets and computational resources.

The role focuses on building and optimizing machine learning deployment infrastructure, establishing best practices for ML pipelines, and creating scalable solutions for ML systems. You'll be working with cutting-edge technologies in areas such as Generative AI, unsupervised learning, and reinforcement learning.

As part of RBC Borealis, you'll be joining a team that's driving innovation in the financial sector through AI research and platform development. The company offers comprehensive benefits, including competitive compensation, bonuses, and stock options. With locations across major Canadian cities, RBC Borealis is at the forefront of integrating AI research and data engineering to solve critical challenges in the financial industry.

The ideal candidate should have a strong foundation in computer science or software engineering, expertise in languages like Python or Java, and hands-on experience with MLOps tools and large-scale data processing. This role offers the opportunity to make a significant impact on the future of AI applications in finance while working with a collaborative team of experts in the field.

Machine Learning Platform Engineer II position at RBC Borealis, focusing on MLOps and ML infrastructure development in Montreal, with comprehensive benefits and opportunity to work with cutting-edge AI technologies.

RBC Borealis is seeking a Senior Platform Engineer to join their Cloud Data and ML platform engineering team. This role is part of Canada's largest financial institution and offers an exciting opportunity to work at the intersection of cloud computing and machine learning infrastructure.

The position involves working with a team responsible for enabling Public Cloud solutions for internal data engineering and data scientists at RBC. You'll be collaborating with hundreds of developers and data scientists across RBC to leverage Azure and accelerate their work throughout the data and machine learning lifecycle. This represents a unique opportunity to grow in the field of machine learning infrastructure while working alongside passionate professionals dedicated to bringing ML to enterprise.

As a Senior Platform Engineer, you'll be responsible for complex application programming, developing APIs and microservices, and designing scalable solutions for machine learning deployments. The role requires expertise in both frontend and backend development, with a strong focus on cloud platforms and DevOps practices. You'll work with cutting-edge technologies and have access to rich datasets and computational resources to support development in areas such as reinforcement learning and computer vision.

The ideal candidate brings 3+ years of software engineering experience, strong platform engineering background, and expertise in cloud technologies. You'll need proficiency in frontend frameworks like React, backend languages such as Python or Golang, and experience with cloud platforms including AWS and Azure. Knowledge of MLOps tools and Infrastructure as Code is essential.

RBC Borealis offers a comprehensive benefits package including competitive compensation, bonuses, flexible benefits, and stock options where applicable. You'll join a progressive team that values collaboration and professional development, with opportunities to make a lasting impact from local to global scale. The company maintains a strong commitment to diversity and inclusion, welcoming qualified applicants from all backgrounds.

Senior Platform Engineer role at RBC Borealis focusing on cloud data and ML platform engineering, requiring expertise in full stack development and cloud technologies.

Senior Platform Engineer, Cloud Data

RBC Borealis is seeking a Senior Platform Engineer to join their Cloud Data and ML platform engineering team. This role offers a unique opportunity to work at the intersection of cloud computing and machine learning infrastructure. As part of Canada's largest financial institution, you'll be contributing to a team that enables Public Cloud services for internal data engineering and data scientists across RBC.

The position involves working with cutting-edge technologies in machine learning infrastructure, collaborating with leading researchers, and having access to rich datasets and substantial computational resources. You'll be responsible for developing APIs, microservices, and building scalable ML deployment tools while working with modern cloud platforms like Azure and AWS.

The ideal candidate should have strong experience in both frontend and backend development, with expertise in Python or Golang, and a solid understanding of DevOps practices and MLOps tools. You'll be working with technologies like Azure Databricks, implementing Infrastructure as Code, and building monitoring solutions for production systems.

This is an excellent opportunity for an experienced engineer looking to make an impact in the financial technology sector while working with advanced ML infrastructure. The role offers competitive compensation, including potential stock options, and the chance to work with a team committed to innovation in enterprise ML solutions. The hybrid work environment and location in Toronto's tech hub make this an attractive position for those looking to advance their career in platform engineering.

Senior Platform Engineer role at RBC Borealis focusing on cloud data and ML infrastructure, requiring 3+ years of experience in software engineering and cloud platforms.

RBC Borealis Engineering Jobs

RBC Borealis is the driving force behind Royal Bank of Canada's AI and data innovation, focusing on AI research and platform development.