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

TD Bank Group; Toronto; On-site; CAD 106,000 - 135,000; Full time

Job summary

TD Bank Group is offering a role in Toronto within the Model Validation (MV) group focused on validating AI/ML models, including deep learning and foundation models. You will research, validate, and apply new techniques for tabular datasets and large-scale environments, and communicate results to partners and senior management.

The position requires strong quantitative skills, experience with PyTorch and NLP, and familiarity with cloud platforms like Azure Databricks.

Qualifications

• Strong quantitative skills with an advanced degree in computer science, machine learning, engineering, statistics, mathematics or physics.
• Experience with AI/ML methodologies including Deep Learning, NLP, Transformers, Diffusion models, and Bagging/Boosting methods.
• Proficient in Python, Java, Scala or PySpark; familiar with PyTorch, TensorFlow/Keras.
• Knowledge of cloud platforms such as Azure Databricks and Azure ML Studio.

Responsibilities

• Research, validate, and apply new techniques in testing deep learning models applied to tabular/structured datasets.
• Stay up to date with advancements in AI including publications, foundation models, evaluation metrics, explainability, and datasets.
• Develop/implement AI/ML model validation methodologies and standards for Tabular Deep Learning / Foundation models.
• Ensure validation methodologies align with industry best practices and regulatory requirements.
• Communicate findings to technical and non-technical stakeholders.

Skills

Quantitative skills

AI/ML experience

Deep learning

NLP

PyTorch

Python

Cloud platforms

Communication skills

Education

Advanced degree in CS/ML/Engineering/Statistics/Physics

Tools

PyTorch

TensorFlow/Keras

Azure Databricks

Azure ML Studio

PySpark

Job description

Work Location: Toronto, Ontario, Canada

Hours: 37.5

Line of Business: Analytics, Insights, & Artificial Intelligence

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

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually. 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. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description

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.

Who We Are

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.

Our Total Rewards Package

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.

Additional Information

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. Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

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.

Training & Onboarding

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

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

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.

Language Requirement (Quebec only)

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Our Values

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. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care.

Our Commitment to Diversity, Equity, and Inclusion

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. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

Helping to Make an Impact in Communities – TD Ready Commitment

TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of C$1 billion by 2030 in community giving across four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

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