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aimlroles

Machine Learning Engineer II

TD Open · verified Nov 1, 2026
Toronto Full-time Mid-level Machine Learning Engineering

At a glance

Mid-level Machine Learning Engineering role at TD. Toronto · full-time · CA$154,000–CA$199,500 base.

SalaryStated by TD
CA$154,000 – CA$199,500
Base salary for this role, in CAD per year, as published in the posting.
This role, from TDOur estimate for the market: CA$133,650–CA$200,000Median CA$176,750
The range includes the market median of CA$176,750 for mid-level machine learning engineering roles in Toronto.
Worked out from 13 postings that stated pay, median CA$176,750. Last updated Oct 30, 2026.
RoleMachine Learning Engineering
SeniorityMid-level
LocationToronto
EmploymentFull-time
Base payCA$154,000–CA$199,500
PostedOct 30, 2026 · 2d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build shared machine learning frameworks that delivery teams can adopt, rely on and maintain over time
  • Write efficient, clear code for scalable AI applications that can serve multiple use cases
  • Apply machine learning to large datasets, including transactions, conversation histories and document collections
  • Help deliver production AI systems as part of a team of machine learning developers

What you bring

  • A bachelor’s or master’s degree in computer science, statistics, mathematics, engineering or a related area
  • Experience directing the design and delivery of production machine learning or data platforms
  • Strong machine learning and deep learning knowledge, plus coding ability in Python, Java, C or C++

Who this fits

This role suits an engineer who takes ownership of robust shared systems and makes practical choices about performance, operability and maintainability. You’ll work in Toronto, with a stated work schedule of 37.5 hours.

From the employer

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$154,000 - $199,500 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:

Additional Job Description


Layer 6 is the AI center of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.


Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty. We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.


We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.


As a Machine Learning Engineer, you will:


  • Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge
  • Build scalable machine learning frameworks across multiple delivery teams where success is measured by adoption, reliability, developer productivity, and long‑term maintainability
  • Write clean, efficient, and maintainable code to ensure efficient deployment of scalable AI application and generalize across multiple use cases
  • Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections
  • Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing


Required Qualifications:


  • Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
  • Demonstrated experience leading the design and implementation of production‑grade ML or data platforms
  • Strong background in machine learning and deep learning
  • Strong coding proficiency in Python, Java, C, or C++
  • You bring strong engineering judgment, including making pragmatic tradeoffs around abstraction, performance, operability, and long‑term maintainability of shared systems.
  • You value good software design and sweat over details in code and API design
  • You take great personal pride in building robust and scalable software
  • You are highly accountable and have a strong sense of ownership
  • You strive to communicate clearly and with empathy

Preferred Qualifications:


  • Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
  • Experience with building and scaling data-intensive software
  • Experience using GPUs for accelerated deep learning traiing

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
Opportunity

Machine Learning Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Machine Learning Engineering

Find me work

By the team behind aimlroles.

Find me work
Opportunity

Machine Learning Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.