Applied Machine Learning Scientist I in Toronto

Work Location: Toronto, Ontario, Canada

Hours: 37.5

Line of Business: Analytics, Insights, & Artificial Intelligence

Pay Details: $105,500 - $134,500 CAD

The TD Model Validation (MV) group is responsible for the independent validation and approval of models used for Generative AI, Natural Language Processing (NLP), Tabular Deep Learning, credit, fraud, and marketing models. The Artificial Intelligence/Machine Learning (AI/ML) MV team is responsible for the validation of all AI/ML models used across the Bank for various use cases.

The position reports to Senior Applied Machine Learning Scientist in the AI/ML Model Validation team and is primarily focused on the validation and review of Deep Learning models. Detailed accountabilities include:

• Research, validate, and apply new techniques in testing deep learning models applied to tabular/structured datasets.
• Stay up to date with advancements in the field of AI including major publications, foundation models, evaluation metrics, explainability, technology stacks, and datasets.
• In depth 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, especially for Tabular Deep Learning / Foundation models.
• Ensure that the validation methodologies and standards are in line with industry best practices and address regulatory and audit requirements.
• Work in Distributed Cluster / Cloud environments with large-scale datasets ranging from transactions to large document collections.
• 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 Tabular Deep Learning and Foundation Models evaluation, testing, explainability.
• Communicate findings and recommendations to both technical and non-technical stakeholders.

The position involves working effectively with different internal partners such as AI2, Layer6, P&T, and FCRM.

Job Requirements:

• Strong quantitative skills with an advanced degree in one or more of the following areas: computer science, machine learning / AI, engineering, statistics, mathematics, or physics.
• Experience with and strong knowledge of AI/ML methodologies including Deep Learning, modern Natural Language Processing (NLP), Transformers, Diffusion models, and Bagging/Boosting methods.
• Experience with Deep Learning technology stacks and libraries such as PyTorch, Tensorflow/Keras etc.
• Stay up to date with the latest advancements in Tabular Deep Learning / Foundation models, Machine Learning, and Cloud technologies.
• Proficient in one or more scripting/programming languages such as Python, Java, Scala, Pyspark.
• Familiarity with cloud platforms (e.g., Azure Databricks, Azure ML Studio).
• 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.
• The position requires writing clean technical reports.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Great time management and multitasking skills with minimal supervision.

Preferred Qualifications:

• Publications in the relevant conference and journals are a plus.
• Ability to implement AI/ML algorithms from academic research papers is a plus.

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world.

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help you remove barriers so that you can participate throughout the interview process.

At TD we’re guided by our purpose to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. We’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported.