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

Toronto, Ontario

Pay
CAD 105,500–134,500/yearAnnual period assumed — pay source
Pay Details: $105,500 - $134,500 CAD The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at TD International

What you’ll work on

Full posting
  • Research and test deep learning models on tabular, structured datasets

  • Develop and implement AI/ML model validation methodologies and standards

  • Work with large-scale datasets in distributed cluster or cloud environments

  • Run statistical tests and recommend model improvements

  • Communicate validation findings to technical and non-technical stakeholders

From the employer’s posting
Research, validate, and apply new techniques in testing deep learning models applied to tabular/structured datasets.
Develop/implement AI/ML model validation methodologies and standards, especially for Tabular Deep Learning / Foundation models.
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
Communicate findings and recommendations to both technical and non-technical stakeholders.

Tools in this posting

  • Java
  • Python
  • Scala
  • Azure
  • Databricks
  • Keras
  • PySpark
  • PyTorch
  • TensorFlow
Source — Tool mentions in context
- 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).
- 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).
- 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.

About TD International

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores.

In the employer’s words · Read in context

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 27, 2026 · 1 day ago
Recorded sightings
6
Last seen by us
Oct 29, 2026
Employer says posted
Oct 22, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on td.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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Job description

View original posting ↗

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. Learn more

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.  

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.

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 us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet
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Pay
Pay Details: $105,500 - $134,500 CAD The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
Location & working pattern

Toronto, Ontario

Working pattern and location restrictions need checking in the full posting.

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