Applied Machine Learning Scientist II (ATH # 5215)

Posted 4 Days Ago
Be an Early Applicant
2 Locations
In-Office
126K-154K Annually
Mid level
Fintech • Insurance • Financial Services
The Role
Validate and review Generative AI and deep learning models, perform R&D on LLM evaluation and explainability, develop validation methodologies, apply statistical tests and benchmark models, and communicate findings to technical and non-technical stakeholders.
Summary Generated by Built In

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$125,500 - $154,000 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 Agentic AI, Generative AI, Natural Language Processing (NLP), 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 (Generative AI),  in the AI/ML Model Validation team and is primarily focused on the validation and review of Generative AI and Deep Learning models. 

 

Detailed accountabilities include: 

  • Validate (review, test, and provide effective challenge) AI/ML models, particularly Generative AI and Deep Learning models. 

  • Conduct R&D in the area of GenAI / Agentic AI / LLM evaluation, testing, explainability. 

  • Stay up to date with advancements in the field of Generative AI including major publications, important Large Language Models (LLMs), evaluation metrics, technology stacks, and datasets. 

  • Maintain full professional 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. Ensure that the validation methodologies and standards are in line with industry best practices and address regulatory and audit requirements. 

  • 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. 

  • 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, engineering, statistics, mathematics, or physics. 

  • Proven experience as Generative AI Scientist, Machine Leaning Scientist, or a similar role. 

  • Ability to work independently and collaboratively in a fast-paced, dynamic environment. Great time management and multitasking skills with minimal supervision. 

  • Experience with and strong knowledge of AI/ML methodologies including Generative AI, Agentic AI, Deep Learning, modern Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Transformers, Diffusion models 

  • Experience with Deep Learning and Generative AI technology stacks and libraries such as PyTorch, LangChain, HuggingFace, PromptFlow, etc. 

  • Motivated to stay up to date with the latest advancements in Generative AI, Prompt Engineering, Machine Learning, and Cloud technologies. 

  • Proficient in scripting/programming language - Python. 

  • Familiarity with cloud platforms (e.g., Azure, AWS). 

  • 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. 

 

* Nice to have qualifications 

  • Publications in the relevant conference and journals is a plus. 

  • Ability to implement AI/ML algorithms from academic research papers is a plus. 

  • Knowledge of SQL and database systems. 

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):

Ce poste n’exige pas la maîtrise d’une langue autre que le français.

Skills Required

  • Advanced degree in computer science, machine learning, engineering, statistics, mathematics, or physics
  • Proven experience as a Generative AI Scientist, Machine Learning Scientist, or similar role
  • Experience with Generative AI, Agentic AI, Deep Learning, modern NLP, RAG, Transformers, Diffusion models
  • Experience with deep learning and generative AI libraries/stacks such as PyTorch, LangChain, HuggingFace, PromptFlow
  • Proficient in Python scripting/programming
  • Familiarity with cloud platforms (Azure, AWS)
  • Familiarity with data structures, algorithm design, and object-oriented programming principles
  • Knowledge of machine learning explainability/interpretability algorithms
  • Excellent verbal and written communication skills, including technical report writing
  • Publications in relevant conferences or journals
  • Ability to implement AI/ML algorithms from academic research papers
  • Knowledge of SQL and database systems

TD Bank Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about TD Bank and has not been reviewed or approved by TD Bank.

  • Parental & Family Support Parental and family-building support is positioned as a standout, including 16 weeks of paid parental leave for all parents and assistance for fertility, surrogacy, donor support, adoption, and doula reimbursement. This breadth is framed as above average for large U.S. employers and notable within banking.
  • Retirement Support Retirement support is presented as robust, with 401(k) and employer funding described in detail in some summaries (fixed contribution plus additional matching) alongside other savings programs. Employee banking discounts and related financial perks add to the overall rewards value beyond salary.
  • Healthcare Strength Healthcare and mental well-being benefits are characterized as comprehensive, including multiple medical plan options, virtual care, and an Employee & Family Assistance Program with continuous access. These elements are repeatedly emphasized as core components of the Total Rewards offering.

TD Bank Insights

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The Company
HQ: Pearl River, NY
93,823 Employees
Year Founded: 1955

What We Do

The Toronto-Dominion Bank & its subsidiaries are collectively known as TD Bank Group (TD). TD is the sixth largest bank in North America by branches & serves approximately 22 million customers in a number of locations in key financial centres around the globe. Over 85,000 TD employees represent the strongest team in banking. Delivering legendary customer experiences is who we are & is part of being the Better Bank. Visit our Careers page to learn more about TD & why TD is a great place to work.

Why Work With Us

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