Machine Learning Engineer II

TD Bank Group; Toronto; On-site; CAD 154,000 - 200,000; Full time

Job summary

TD Bank Group is seeking a Machine Learning Engineer II in Toronto to develop and deploy scalable ML systems for real-world banking data. You will join a leading AI center, work with large-scale datasets including transactions and documents, and contribute to production-grade ML platforms.

You will design robust software, own key components, and collaborate with multiple teams to drive reliable AI solutions across TD’s products and services.

Qualifications

• Degree in computer science, statistics, mathematics, or engineering.
• Experience designing and implementing production-grade ML or data platforms.
• Strong ML and deep learning background.

Responsibilities

• Join a world-class AI team delivering ML solutions at scale.
• Build scalable ML frameworks across delivery teams with focus on adoption and reliability.
• Write clean, efficient code to deploy scalable AI applications.
• Work with large real-world datasets spanning transactions, conversations, and documents.

Skills

Production-grade ML

Large-scale datasets

Python

Software design

Ownership

Education

Master's or Bachelor's degree in CS/Statistics/Mathematics/Engineering

Tools

LangGraph

Pytorch

Tensorflow

Jax

Job description

## Machine Learning Engineer IIApply: Office Focused: Toronto, Ontario: Full time: Posted Today: R\\_1518866**Work Location:**Toronto, Ontario, Canada**Hours:**37.5**Line of Business:**Analytics, Insights, & Artificial Intelligence**Pay Details:**$154,000 - $199,500 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:****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