Staff ML Engineer developing multimodal foundation models from Tonal’s sensor, video, and physiological workout data. Advancing adaptive coaching, form feedback, and musculoskeletal health intelligence.
TD
Senior Applied Machine Learning Scientist, Generative AI Model Validation
Posted last week
About the role
- Senior scientist leading Generative AI, LLM, and Deep Learning model validation at TD, a major North American bank. Guiding teams, governance, testing, and regulatory compliance.
Responsibilities
- Lead R&D in GenAI, Agentic AI, and LLM evaluation and testing
- Lead machine learning scientists validating complex AI models, especially Generative AI, LLM/NLP, and Deep Learning models
- Review, test, evaluate, and challenge AI model developers
- Recommend model approval or corrective actions based on independent validation
- Set performance objectives and provide regular performance feedback
- Communicate group objectives and strategies and align activities with business objectives
- Coach and support direct reports in their development
- Develop standards and procedures for Generative AI, Agentic AI, NLP, and Deep Learning model validation
- Ensure validation practices comply with the Bank’s Model Risk Policy, industry and academic best practices, and regulatory requirements
- Respond to Canadian and U.S. regulator and internal/external audit requests
- Collaborate with model development groups, Audit, and other internal partners
- Identify when new models or techniques are needed as industry standards and regulations evolve
- Provide subject matter expertise to business units and senior management
- Stay current with GenAI publications, LLMs, evaluation metrics, technology stacks, and datasets
- Communicate findings and recommendations to technical and non-technical stakeholders
Requirements
- Advanced quantitative and AI skills with a post-secondary degree in computer science, machine learning/AI, engineering, statistics, mathematics, or a related area
- 4+ years of experience developing or validating Generative AI, LLM, NLP, and other Deep Learning models
- 2+ years of experience leading a small team of machine learning scientists
- In-depth knowledge of Generative AI, Agentic AI, Deep Learning, NLP, RAG, Transformers, and related AI methodologies
- Experience with PyTorch, LangChain, LangGraph, HuggingFace, or similar technology stacks and libraries
- Proficiency in one or more scripting/programming languages such as Python
- Familiarity with Azure, AWS, PySpark, and Hadoop
- Familiarity with data structures, algorithm design, and object-oriented programming
- Knowledge of machine learning explainability/interpretability algorithms
- Excellent verbal and written communication and stakeholder management skills
- Strong critical and analytical thinking skills
- Excellent time/project management and multitasking skills with minimal supervision
- Ability to work independently and collaboratively in a fast-paced, dynamic environment
- For Quebec: proficiency in a language other than French to support or work with employees or colleagues requiring services in another language
Benefits
- Base salary and variable compensation
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Career development
- Reward and recognition programs
- Regular development conversations
- Training programs
- Online learning platform
- Mentoring programs
- Training and onboarding sessions
- Interview accommodations, including accessible meeting rooms and captioning for virtual interviews
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