Research Machine Learning Scientist II

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:

CUSTOMER

• Provide deep knowledge in given AI/ML Area. Deliver insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables.
• Work closely with business owners to identify opportunities and serve as an ambassador for AI/ML
• Design and deliver enterprise analytic solutions for customers.
• Develop powerful business insights from a broad range of data, using advanced machine learning techniques.
• Work in a highly interactive, team-oriented environment with Big Data developers, engineers, modelers and Visualization experts

SHAREHOLDER

• Adhere to enterprise frameworks or methodologies that relate to activities for our business area.
• Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
• Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate.
• Ensure business operations are in compliance with applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)
• Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
• Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience.
• Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices.
• Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exists.
• Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
• Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.

EMPLOYEE / TEAM

• Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
•  Provide analytical thought leadership and staying current on developments in machine learning and the application of data science.
• Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise.
• Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions.
• Participate in personal performance management and development activities, including cross training within own team.
• Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
• Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
• Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships. Contribute to a fair, positive and equitable environment that supports a diverse workforce.
• Act as a brand ambassador for your business area/function and the bank, both internally and/or externally

BREADTH & DEPTH:

• Work autonomously and accountable for deep knowledge of various AI/ML domains, frameworks, technology, tools, processes, and procedures, as well as organization issues.
• Deep knowledge of applications, systems, innovation, design activities, best practices, business/organization standards
• Prioritizes and manages own workload in order to deliver quality results and meet timelines .
• Solves complex problems; takes a new perspective on existing solutions.
• Responsibilities involve leading major components of research and development in a subfield of AI, contributing to academic journals, conferences and competitions, keeping up to date with latest publications and trends, and applying innovative solutions to enterprise problems.

Required Qualifications:

• PhD or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or a related field

• Strong background in machine learning and deep learning

• 2+ years of research experience with publication record

• Proven track record of applying machine learning to solve real-world problems

Preferred Qualifications:

• Depth of experience in relevant ML research disciplines

• Hands on experience in software systems development

• Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library

• Experience with Spark, SQL, or comparable database systems

• Experience using GPUs for accelerated deep learning training

• Familiarity with cloud computing systems like Azure or AWS

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