Senior Machine Learning Engineer

Job Summary

Job Description

What is the opportunity?

We are looking for a highly motivated and technically skilled individual to join our team as a Manager, Data Analytics & Machine Learning. This is an excellent opportunity for a recent graduate or early-career professional who is eager to apply data science and software engineering skills in real-world scenarios. In this role, you will work closely with team members to support the implementation and delivery of advanced analytics solutions—including both Generative AI (GenAI), machine learning (ML), and deep learning (DL)—to enhance efficiency, automation, and business value in daily risk management workflows.

What will you do?

• Participate in the end-to-end development of high-impact AI solutions, from idea design and PoC to production deployment.
• Work closely with business users to understand their needs, translate business use cases into practical technical problems, and iterate on solutions based on feedback.
• Focus on building real-world applications that address business challenges, rather than conducting pure research.
• Continuously learn and keep up with the latest advancements in AI and related technologies, sharing knowledge with the team.
• Present technical solutions and project updates to both technical peers and senior managements.

What do you need to succeed?

Must Have:

• Hands-on experience prototyping GenAI applications, including working with foundational LLMs (e.g., GPT models via API) and transformer models (e.g., Hugging Face Transformers); familiarity with frameworks and tools (e.g., LangChain, LangGraph, LlamaIndex, Haystack), and vector databases (e.g., Weaviate, PGVector).
• Hands-on experience with prompt engineering, including designing and refining prompts to optimize LLM outputs.
• Hands-on experience developing modular, robust, and scalable software in Python 3.x.
• Knowledge of modular RAG (Retrieval-Augmented Generation) and agentic systems.
• Knowledge of professional software engineering best practices across the software development lifecycle, including coding standards, testing methods, code reviews, and version control.
• Knowledge of machine learning and deep learning algorithms (e.g., supervised methods such as decision trees, gradient boosting, deep neural networks; unsupervised methods such as clustering and dimensionality reduction), as well as natural language processing techniques (e.g., TF-IDF, transformer models, embedding models).
• Demonstrated willingness and ability to quickly learn and adapt to new advancements in ML/DL/GenAI.
• Strong logical thinking skills and attention to detail.
• Effective communication skills and a collaborative, team-oriented attitude.
• A master’s degree or higher degree in computer science, engineering, statistics, or a related field.

Nice-to-have

• Knowledge of embedding model fine-tuning, Model Context Protocol (MCP), LLM performance evaluation.
• Experience deploying GenAI applications in production environments and supporting enterprise-scale use cases.
• Hands-on experience implementing solutions using modern ML/DL frameworks and tools, such as PyTorch, JAX, TensorFlow, scikit-learn, or Hugging Face Transformers.
• Experience working in regulated or governed environments.
• Familiarity with financial risk management concepts.

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.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities    
• Opportunities to building close relationships with clients
• Access to a variety of job opportunities across business and geographies.

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Job Skills

Applied Machine Learning, Big Data Management, Data Analytics, Data Science, Deep Learning Algorithms, Generative AI, Learning Quickly, Machine Learning Algorithms, Market Risk Modeling, Object-Oriented Programming (OOP), Programming Languages, Python (Programming Language), Researching, Risk Management

Additional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-07-24

Application Deadline:

2025-08-10

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.

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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.