Research Machine Learning Scientist II

## Research Machine Learning Scientist IIApply: Onsite: Toronto, Ontario: Full time: Posted Today: End Date: October 19, 2026 (2 days left to apply): R\\_1515695**Work Location:**Toronto, Ontario, Canada**Hours:**37.5**Line of Business:**Analytics, Insights, & Artificial Intelligence**Pay Details:**$140,000 - $190,000 CADThe 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* 3+ 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! #J-18808-Ljbffr