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indeed

Applied Machine Learning Scientist II

TD
Toronto, CAN
Full-time
Onsite
$81,600–$115,200
Discovered 2 weeks ago
Machine learningDeep learningLarge language modelsPythonPySparkPyTorch

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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