Applied Machine Learning Scientist I ATH# 5645 (Tabular Deep Learning Model Validation)

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

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*Department Overview

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.

*Job Description

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. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

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.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.