Junior AI Engineer

RBC • New York, NY

19d • $110,000 - $200,000

About The Position

What is the opportunity? Join RBC Capital Markets’ AI & Digital Engineering team as a Junior AI Engineer and contribute to shaping the strategic direction of artificial intelligence and emerging technologies. In this dynamic, hands-on role, you’ll support innovation across global financial markets, collaborate with high-performing teams, and gain exposure to executive stakeholders. What will you do? Assist in designing, developing, and deploying AI/ML models to solve business challenges in financial markets, including tasks like data preprocessing, model training, validation, and monitoring. Work closely with senior engineers and business stakeholders to integrate AI capabilities into existing systems and workflows. Contribute to proof-of-concept projects and rapid prototyping to explore emerging technologies (e.g., Generative AI, blockchain). Support documentation, testing, and performance tuning of AI models to ensure scalability, robustness, and compliance with financial industry standards. Participate in team discussions to refine AI strategies, ensuring solutions align with business objectives and regulatory requirements. Stay updated on industry trends, share insights, and propose improvements to enhance the team’s AI capabilities. What do you need to succeed? Must-have Bachelor’s Degree (or higher) in Computer Science, Engineering, Data Science, or related Quantitative field 1 – 5 years of coding in Python; including experience with libraries such as Pandas or NumPy for data manipulation and visualization Familiarity with building and training machine learning models (e.g., regression, classification, clustering) using frameworks like Scikit-learn, TensorFlow, or PyTorch Exposure to natural language processing (NLP) concepts, such as text preprocessing, sentiment analysis, or basic chatbot implementations Understanding of image processing techniques (e.g., OpenCV) or document parsing (e.g., OCR tools) for tasks like data extraction Awareness of cloud platforms (AWS, Azure, GCP) and their AI/ML services Nice-to-have Advanced degree in Computer Science, Engineering, Data Science, or related Quantitative field Familiarity with Blockchain, AWS SageMaker, or Azure ML Exposure to the Financial Industry or background in applying AI/ML for financial uses cases such as forecasting or fraud detection 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 Flexible work/life balance options Opportunities to do challenging work Opportunities to take on progressively greater accountabilities Access to a variety of job opportunities across business The good-faith expected salary range for the above position is $110,000 to $200,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements that comprise our total compensation package, which includes the following: commission sharing eligibility for select roles, a discretionary bonus, a paid time-off plan, our 401(k) program with company-matching contributions, and our health, dental, vision, life and disability insurance. RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that: · Drives RBC’s high performance culture · Enables collective achievement of our strategic goals · Generates sustainable shareholder returns and above market shareholder value

Requirements

• Bachelor’s Degree (or higher) in Computer Science, Engineering, Data Science, or related Quantitative field
• 1 – 5 years of coding in Python; including experience with libraries such as Pandas or NumPy for data manipulation and visualization
• Familiarity with building and training machine learning models (e.g., regression, classification, clustering) using frameworks like Scikit-learn, TensorFlow, or PyTorch
• Exposure to natural language processing (NLP) concepts, such as text preprocessing, sentiment analysis, or basic chatbot implementations
• Understanding of image processing techniques (e.g., OpenCV) or document parsing (e.g., OCR tools) for tasks like data extraction
• Awareness of cloud platforms (AWS, Azure, GCP) and their AI/ML services

Nice To Haves

• Advanced degree in Computer Science, Engineering, Data Science, or related Quantitative field
• Familiarity with Blockchain, AWS SageMaker, or Azure ML
• Exposure to the Financial Industry or background in applying AI/ML for financial uses cases such as forecasting or fraud detection

Responsibilities

• Assist in designing, developing, and deploying AI/ML models to solve business challenges in financial markets, including tasks like data preprocessing, model training, validation, and monitoring.
• Work closely with senior engineers and business stakeholders to integrate AI capabilities into existing systems and workflows.
• Contribute to proof-of-concept projects and rapid prototyping to explore emerging technologies (e.g., Generative AI, blockchain).
• Support documentation, testing, and performance tuning of AI models to ensure scalability, robustness, and compliance with financial industry standards.
• Participate in team discussions to refine AI strategies, ensuring solutions align with business objectives and regulatory requirements.
• Stay updated on industry trends, share insights, and propose improvements to enhance the team’s AI capabilities.

Benefits

• 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
• Flexible work/life balance options
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Access to a variety of job opportunities across business

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees