Research Machine Learning Scientist II

Work Location Toronto, Ontario, Canada Hours 37.5 Line of Business Analytics, Insights, & Artificial Intelligence Pay Details $140,000 - $190,000 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 We are currently in the final stages of the interview process with a preferred candidate. However, we value diverse perspectives and encourage all qualified individuals to apply. Day‑to‑day as a Research Machine Learning Scientist Join a world‑class team of machine learning researchers with an extensive track record in both academia and industry. Research, develop, and apply new techniques in deep learning to advance our industry leading products. Work with large‑scale, real‑world datasets that range from banking transactions, to large document collections. Collaborate closely with our engineering team in a fast‑paced startup environment and see your research deployed in production with very short turnaround. Grow your expertise by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge‑sharing. Represent the team at leading ML conferences, present your research, and stay at the forefront of the field. 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 systemsExperience 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 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. Language Requirement (Quebec only) Sans Objet #J-18808-Ljbffr