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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:

The Opportunity

We are seeking a Senior Machine Learning Engineer to help define and execute the technical vision for our ML infrastructure and productionization capabilities. This is a high-impact role for someone who thrives at the intersection of rigorous engineering and applied research—someone who can translate cutting-edge ML advances into robust, scalable systems that serve millions.

You will work with rich, real-world datasets spanning multiple modalities: banking transactions, conversational data, and large document collections. You will help shape the frameworks and patterns that enable our research to reach production reliably and efficiently.

What You'll Do

• Lead system design for scalable ML and generative AI platforms, making architectural decisions that balance innovation with operational excellence, reliability, and maintainability
• Set technical standards for ML codebases—establishing patterns for testing, documentation, code quality, and deployment that elevate the entire team's output
• Drive end-to-end ownership of complex ML systems from prototype through production, including monitoring, observability, and continuous improvement
• Mentor and influence junior and mid-level engineers, fostering a culture of engineering rigor and intellectual curiosity
• Partner with researchers to bridge the gap between experimental models and production-grade implementations, identifying opportunities to accelerate the research-to-deployment pipeline
• Collaborate cross-functionally with data platform, infrastructure, and product teams to ensure ML systems integrate seamlessly with the broader technology ecosystem
• Contribute to technical strategy, helping define roadmaps for MLOps capabilities, tooling investments, and infrastructure evolution

What You Bring

Experience & Track Record

• 6+ years of professional experience in machine learning engineering, with at least 3 years in senior or lead roles
• Demonstrated history of delivering production ML systems at scale within complex, regulated environments
• Experience designing and implementing MLOps pipelines, model serving infrastructure, and monitoring solutions
• Track record of technical leadership: setting direction, unblocking teams, and raising the bar on engineering quality

Technical Depth

• Expert-level proficiency in Python; strong working knowledge of SQL and at least one of R/Scala
• Experience designing and building agentic AI solutions using large language models (e.g. OpenAI models, Anthropic Claude)
• Deep understanding of ML fundamentals and practical experience with modern deep learning frameworks (PyTorch, TensorFlow)
• Strong foundation in distributed systems, data engineering principles, and software architecture
• Hands-on experience with cloud platforms (Azure preferred) including compute, storage, and ML-specific services
• Familiarity with containerization, orchestration (Kubernetes), and CI/CD practices for ML

Mindset & Approach

• Systems thinker who balances pragmatism with a drive for technical excellence
• Strong communicator who can articulate complex technical concepts to diverse audiences
• Collaborative leader who builds trust across research, engineering, and business stakeholders
• Genuine curiosity about advancing the state of the art while delivering reliable, maintainable systems

Education

• Master's degree in Computer Science, Machine Learning, Statistics, or a related quantitative field (PhD a plus but not required with equivalent industry experience)

Nice to Have

• Experience with generative AI systems (LLMs, retrieval-augmented generation, etc.) in production
• Contributions to open-source ML tooling or published research
• Experience in financial services or other highly regulated industries
• Familiarity with responsible AI practices: fairness, explainability, and governance frameworks

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 deliver legendary customer experiences to 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 the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

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. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.
 

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):