RobloxSan Mateo, CA, United States$419k-$458kjust now
RBCPosted 1w ago
Senior Machine Learning Engineer at RBC scores 84 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Job Description
We are seeking a talented Senior Machine Learning Engineer to join our AI & Innovation team at Royal Bank of Canada. In this role, you will drive the development and deployment of cutting-edge machine learning and generative AI solutions that enhance our products and services.
What You'll Do
- Design and Deploy AI Solutions: Conduct hands-on application design, coding, and deployment of machine learning models and generative AI use cases
- Advance ML Capabilities: Enhance machine learning use case development, model training, and feature engineering pipelines
- Build GenAI Solutions: Develop hands-on solutions using generative AI technologies, building both new use cases and enhancing existing ones
- Cross-Functional Collaboration: Partner with our Data Analytics team to leverage machine learning expertise and translate business requirements into technical solutions
- Technical Leadership: Provide technical influence by sharing knowledge, mentoring team members, and establishing best practices
- Maintain Excellence: Ensure code quality, best practices, and scalability across all deliverables
- Stay Current: Research emerging trends and industry best practices, evaluating implications for our business strategy
What You Need to Succeed – Must-Have's
- Strong proficiency in programming and scripting languages (Java, Python, Shell Script, etc.)
- Hands-on experience developing and managing ML model pipelines, feature engineering, model training, and inferencing
- Proven experience with LLM models (Cohere, Haiku, and other cognitive services) in production environments
- Deep expertise in deep learning frameworks (TensorFlow, PyTorch)
- Ability to work effectively with cross-functional teams to understand product usage and generate innovative ideas
- Experience with application monitoring tools (Dynatrace, Prognosis)
- Solid knowledge of DevOps tools and practices (GitHub, Jenkins, Urban Code, Nexus, Ansible)
- Public and Private cloud expertise (Azure, AWS, GCP, OpenShift, Docker, Kubernetes)
Nice to have:
- Experience with ELK technology stack and graph databases (Neo4j, Neptune)
- Some experience with modern UI technologies ( React, Angular)
What’s in it for you?
- We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- Network and build lasting relationships with students from diverse backgrounds from across Canada.
- Leaders who support your development through coaching and learning opportunities
- Work in a dynamic, collaborative, progressive and highly performing team
- Ability to make a difference and lasting impact
#LI-POST
Job Skills
Agile Methodology, Analytical Thinking, Application Integrations, Application Monitoring, Data Analytics, Deep Learning, Detail-Oriented, DevOps, ElasticSearch, Enterprise Application Delivery, Generative AI, GitHub, Group Problem Solving, Java (Programming Language), Kubernetes, Machine Learning (ML), Microsoft Azure, Monitoring Tools, Private Clouds, Problem Solving, Python (Programming Language), Shell Scripting, Software Development, Software Development Life Cycle (SDLC), TensorflowAdditional Job Details
Address:
RBC CENTRE, 155 WELLINGTON ST W:TORONTOCity:
TorontoCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
TECHNOLOGY AND OPERATIONSJob Type:
RegularPay Type:
SalariedPosted Date:
2026-09-15Application Deadline:
2026-10-02Note: 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.
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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.
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Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used PyTorch hands-on?
- Walk me through how you've used TensorFlow in your day-to-day work.
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: PyTorch and TensorFlow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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