Applied Machine Learning Scientist I, Generative AI Model Validation-1

Work Location Toronto, Ontario, Canada Hours 37.5 hours per week Line of Business Analytics, Insights, & Artificial Intelligence Pay Details $105,500 - $125,000 CAD (temporarily eligible for a pay premium above the posted salary range that is reassessed annually). Additional compensation may vary based on experience, skills, location, and business needs. Job Description TD Model Validation (MV) group is responsible for the independent validation and approval of models used for Generative AI, Natural Language Processing (NLP), credit, fraud, and marketing models. The Artificial Intelligence/Machine Learning (AI/ML) MV team validates all AI/ML models used across the bank for various use cases. Job Overview The position reports to the Senior Manager in the AI/ML Model Validation team and focuses on the validation and review of Generative AI and Deep Learning models. Responsibilities Validate (review, test, and provide effective challenge) AI/ML models, particularly Generative AI and Deep Learning models. Stay up to date with advancements in the field of Generative AI including major publications, important Large Language Models (LLMs), evaluation metrics, technology stacks, and datasets. Maintain full professional knowledge of techniques and developments in the field of AI/ML and share knowledge with business partners and senior management. Develop/implement AI/ML model validation methodologies and standards in line with industry best practices and regulatory and audit requirements. Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives. Implement benchmark models as applicable. Conduct R&D in the area of GenAI / Agentic AI / LLM evaluation, testing, explainability. Communicate findings and recommendations to both technical and non-technical stakeholders. The role involves working effectively with internal partners such as AI2, Layer6, P&T, and FCRM. Job Requirements Strong quantitative skills with an advanced degree in computer science, machine learning, engineering, statistics, mathematics, or physics. Experience and strong knowledge of AI/ML methodologies including Generative AI, Agentic AI, Deep Learning, modern NLP, Retrieval-Augmented Generation (RAG), Transformers, Diffusion models, and Bagging/Boosting methods. Experience with Deep Learning and Generative AI technology stacks and libraries such as PyTorch, Tensorflow/Keras, LangChain, HuggingFace, LangGraph, DeepEval, etc. Motivated to stay up to date with the latest advancements in Generative AI, Prompt Engineering, Machine Learning, and Cloud technologies. Proficiency in one or more scripting/programming languages such as Python, Java, Scala. Familiarity with cloud platforms such as Azure and AWS. Familiarity with Data Structures, Algorithm design, and principles of Object‑Oriented Programming (OOP). Knowledge of machine learning explain‑ability/interpretability algorithms. Excellent verbal and written communication skills, requiring clean technical reports. Ability to work independently and collaboratively in a fast‑paced, dynamic environment with great time‑management and multitasking skills and minimal supervision. Preferred Qualifications Publications in relevant conferences and journals. Ability to implement AI/ML algorithms from academic research papers. Who We Are TD is one of the world's leading global financial institutions, the fifth largest bank in North America by branches. We deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States, and around the world. Our vision is to be the Better Bank and our purpose is to enrich the lives of customers, communities, and colleagues. We support career growth through leadership, development, mentorship, and training programs. Our Total Rewards Package Base salary, variable compensation, health and well‑being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Additional Information This job opportunity is subject to provincial regulation for employment purposes. Each province or territory in Canada may have specific regulations and requirements. Colleague Development Regular career, development, and performance conversations with your manager; access to an online learning platform and mentoring programs to unlock future opportunities. Training & Onboarding Training and onboarding sessions to ensure you have everything you need to succeed in your new role. Interview Process We will reach out to candidates of interest to schedule an interview. Outcomes are communicated to all applicants by email or phone call. Accommodation Your accessibility is important to us. Let us know if you need accommodations (accessible meeting rooms, captioning for virtual interviews, etc.) so that you can participate throughout the interview process. Language Requirement (Quebec only) Sans Objet #J-18808-Ljbffr