Senior Machine Learning Engineer
Toronto, Ontario
- Pay
CAD 170,000–250,000/yearAnnual period assumed — pay source
Pay Details: $170,000 - $250,000 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
What you’ll work on
Full postingArchitect scalable ML and Gen AI systems that integrate with existing data platforms
Write clean, efficient, maintainable code for ML models and deployment
From the employer’s posting
Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure
Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application
What you’ll bring
All qualificationsCore experience
- Master's or bachelor's degree in computer science, statistics, math, engineering or related field
- Strong background in machine learning and deep learning
Preferred experience
- Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
- Experience with building and scaling data-intensive software
- Experience using GPUs for accelerated deep learning training
Qualification wording
Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
Strong background in machine learning and deep learning
Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
Experience with building and scaling data-intensive software
Experience using GPUs for accelerated deep learning training
Tools in this posting
- Java
- Python
- PyTorch
- TensorFlow
- C++
Source — Tool mentions in context
- Strong background in machine learning and deep learning - Strong coding proficiency in Python, Java, C, or C++ - You value good software design and sweat over details in code and API design
- Research experience with publication record - Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library - Experience with building and scaling data-intensive software
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
Report an errorActively 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
- Aug 11, 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
Work Location:
Toronto, Ontario, CanadaHours:
37.5Line of Business:
Analytics, Insights, & Artificial IntelligencePay Details:
$170,000 - $250,000 CADThe 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:
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
- Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
- Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application
- 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
- 3+ years of developer experience shipping code in production settings
- Strong background in machine learning and deep learning
- Strong coding proficiency in Python, Java, C, or C++
- 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:
- Research experience with publication record
- Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
- Experience with building and scaling data-intensive software
- Experience using GPUs for accelerated deep learning training
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 ObjetSource details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Pay Details: $170,000 - $250,000 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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