Applied Machine Learning Scientist II
Role Overview
Applied Machine Learning Science develops and applies advanced AI and machine-learning methods to improve business practices.
This role develops models for personal banking marketing, risk management, and strategy optimization.
Work location is listed as Toronto, Ontario, Canada; hours are 37.5.
Key Skills for This Role
Full Job Posting
Role overview
Applied Machine Learning Science develops and applies advanced AI and machine-learning methods to improve business practices.
This role develops models for personal banking marketing, risk management, and strategy optimization.
Work location is listed as Toronto, Ontario, Canada; hours are 37.5.
Key responsibilities
- Develop and implement state-of-the-art machine-learning models for personal banking products and business needs.
- Analyze complex structured and unstructured data at scale and apply deep-learning techniques, including large language models.
- Engineer and select features to improve model accuracy and interpretability.
- Conduct research, support development, prepare presentations, and communicate project progress and risks to stakeholders.
- Manage relationships across business lines and control functions; align work with enterprise and regulatory requirements.
- Create and maintain documentation and ensure programs and practices meet business needs and applicable requirements.
- Lead or facilitate remediation for performance, risk, or governance issues; monitor emerging trends and regulatory requirements.
- Maintain a risk-management and control culture aligned with risk appetite; represent the business area as a brand ambassador.
Requirements
- Advanced university degree (Master's and PhD, as stated) in STEM, such as statistics, computer science, mathematics, physics, or engineering.
- 5+ years of relevant experience and proven production development and deployment of machine-learning models.
- Solid understanding of machine learning, deep learning, large language models, and traditional statistical methodologies.
- Hands-on Python, PySpark, PyTorch, and SQL coding experience; experience with cloud platforms such as Azure.
- Strong problem-solving and writing skills and ability to explain complex concepts to non-technical audiences.
- Knowledge of AML regulations and financial crime risks is desirable.
- Graph-based machine learning and LLM experience, especially transformers, is highly desirable.
Pay details
- Posted pay range is $81,600–$115,200 CAD and reflects a temporary market premium that is reassessed annually.
- Actual base pay may vary based on skills, experience, job-related knowledge, geographic location, and business needs.
About TD
TD is a global financial institution serving households and businesses in Canada, the United States, and other markets.
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