Posted:
9/27/2024, 7:08:40 AM
Location(s):
Toronto, Ontario, Canada ⋅ Ontario, Canada
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
AI & Machine Learning ⋅ Software Engineering
Work Location:
CanadaHours:
37.5Line of Business:
Analytics, Insights, & Artificial IntelligencePay Details:
We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.
Job Description:
The goal of the ML Engine team is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration. We are looking for world-class engineers to take on the challenging problem of shipping core components of the engine that will be used across the bank. You will work with ML product engineers, Ops teams, and scientists to ensure our frameworks can support use cases deployed on our computing infrastructure.
What are your main responsibilities?
Own and ship product features that enable ML engine capabilities.
Work with product owners and tech leads to design, ship, and refine significant components of the product.
Work with scientists and MLOps teams to maintain and service the product.
Job Requirements :
Must-Have:
Prior Internship Experience in Software Engineering
Experience with building and scaling data-intensive software.
You value good software design and sweat over details in code and API design.
You enjoy learning new technology and educating others.
You take great personal pride in building robust and scalable software.
You strive to communicate clearly and with empathy.
You are highly accountable and have a strong sense of ownership.
You are a self-starter and can independently drive your projects forward.
Ability to do detailed code reviews and give thoughtful feedback.
Nice to have:
Experience building a library or a framework.
Experience with Big Data technologies and frameworks including but not limited to Spark, Cassandra, Kafka.
Experience with Microsoft Azure
Comfortable with statistics.
Knowledge of machine learning and deep learning.
Knowledge of distributed systems.
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.
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.
We look forward to hearing from you!
Language Requirement (Quebec only):
Sans ObjetWebsite: https://www.td.com/
Headquarter Location: Toronto, Ontario, Canada
Employee Count: 10001+
Year Founded: 1955
IPO Status: Private