Machine Learning Engineer II

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.

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