Machine Learning Engineer II Job Toronto area,Ontario Canada,Software Development

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 Lang Graph, 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.

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…