1

Machine Learning Engineer Amazon Jobs in Toronto, ON

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$170K - CA$250K/yr

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 ...

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

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 ...

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

Day-to-day as a Machine Learning Engineer: * Join a world-class team of AI developers with an extensive track record. * Architect scalable machine learning and Gen AI systems that integrate with ...

... ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems * Bachelor's degree in Computer Science, Machine Learning, Data Science, or a ...

Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...

The Opportunity We're hiring a Staff Machine Learning Engineer to join our AI team and help shape the next generation of Fullscript's AI-powered experiences. You'll work on building innovative AI ...

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with ...

next page

Showing results 1-20

Machine Learning Engineer Amazon information

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer at Amazon, and why are they important?

To thrive as a Machine Learning Engineer at Amazon, you need a strong background in computer science, mathematics, and statistics, often with an advanced degree and experience in machine learning algorithms. Proficiency with Python, TensorFlow or PyTorch, AWS cloud services, and familiarity with data modeling and big data tools is typically required. Strong problem-solving abilities, effective communication, and collaboration skills help drive innovative solutions in cross-functional teams. These capabilities are crucial for developing scalable, impactful ML systems that align with Amazon’s business goals and customer needs.

What does a Machine Learning Engineer do at Amazon?

A Machine Learning Engineer at Amazon designs, builds, and deploys machine learning models to solve complex business problems across various domains such as retail, Alexa, AWS, and logistics. They collaborate with data scientists, software engineers, and product teams to implement scalable solutions that leverage large datasets. Responsibilities often include developing algorithms, optimizing model performance, and integrating models into production systems to enhance customer experiences or improve operational efficiency.

How do Machine Learning Engineers at Amazon typically collaborate with product and engineering teams to deploy models into production?

Machine Learning Engineers at Amazon work closely with product managers, data scientists, and software engineers throughout the model development lifecycle. After designing and training models, they partner with engineering teams to integrate these models into scalable production systems, ensuring performance and reliability. Regular cross-functional meetings and code reviews are common, as is the use of Amazon's internal tools and cloud infrastructure for deployment. This collaborative environment enables rapid iteration and continuous improvement of customer-facing products powered by machine learning.
Infographic showing various Machine Learning Engineer Amazon job openings in Toronto, ON as of June 2026, with employment types broken down into 39% Full Time, and 61% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Td

Toronto, ON • On-site

CA$170K - CA$250K/yr

Full-time

Posted 11 days ago


Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay 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


RequiredQualifications:

  • 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

PreferredQualifications:

  • 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 Objet