Machine Learning Engineer II

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

Benefits offered by this job

Health insurance

Job summary

TD Bank Group in Toronto, Ontario, is seeking world-class Machine Learning Engineers to tackle cutting-edge problems in ML applied to the real world. Join Layer 6, our AI research centre, to build scalable Gen AI systems and deploy ML solutions across transactional data, transcripts, and large document collections.

You will work with a world-class team, architect ML pipelines, ensure reliability, and ship production-ready code.

Qualifications

• What can you bring: advanced degrees in CS/statistics/math/engineering or equivalent AI/data science training.
• Experience delivering major data science projects in large, complex organizations.
• Strong coding skills and familiarity with cloud architectures (Azure a plus).
• Proven ability to drive product adoption and stakeholder alignment.

Responsibilities

• Join a world-class AI development team with a proven track record.
• Architect scalable ML and Gen AI systems integrated with data platforms.
• Write clean, efficient code for ML models and production deployment.
• Work with large-scale real-world datasets across transactions, transcripts, and documents.

Skills

Strong communication

Stakeholder management

MLOps

Data engineering

Cloud architecture

Python

SQL

Scala

Education

Master's or Bachelor's in Computer Science / Statistics / Mathematics / Engineering

Master's in Data Science / AI / CS or equivalent experience

Tools

Python

R

SQL

Scala

Azure

Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$154,000 - $199,500 CAD

The 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 research centre 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 research broadly 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 always looking for people 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. Our team is building standardized frameworks to launch AI models that have real-world impact. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.

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 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.

Job Requirements

What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

• Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
• Minimum three years of experience delivering major data science projects in large, complex organizations
• Strong communication, business acumen and stakeholder management competencies
• Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices
• Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture a plus
• A track record of driving product adoption and growth
• Familiarity with cloud solution architecture, Azure a plus
• Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience a plus
• Master's degree data science, artificial intelligence, computer science or equivalent experience

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