Your work days are brighter here.
At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That's why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don't need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.
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About the Team
Do you want to build impactful, machine learning features and solutions that will be used by millions of end-users? The ML Core team solves challenging problems that lie at the intersection of machine learning and enterprise-scale software. The team is responsible for building sophisticated machine learning solutions that power the core Workday software by modeling user behavior, generating actionable insights, and providing intelligent recommendations. Come join us and make easier and balanced for millions of Workday users!About the Role
In this full-stack engineering role, you will apply your expertise in both front-end and back-end development to build dynamically generated user interfaces powered by ground breaking ML technologies. Your contributions will improve core services within Workday and deliver scalable, robust, and impactful solutions for our global customers. Your primary focus will be to:
Develop full-stack solutions in JavaScript and Python based on React, FastAPI, and Kubernetes to support dynamically generated UIs for core Workday services
Leverage machine learning models to improve user experiences.
Collaborate with multi-functional teams, including machine learning engineers, product managers, and UX designers, to transform ML insights into responsive and user-friendly interfaces.
Take ownership for finding creative solutions that move projects forward
Write clean, maintainable, and testable code following standard methodologies in software engineering, including automation, observability, and scalability.
Conduct code reviews, participate in design discussions, and engage in collaborative team activities like hackathons and knowledge-sharing sessions.
About You
Basic Qualifications
4+ years of experience of full-stack web development
4+ years of experience with production software development
Strong experience with front-end frameworks (including React) and back-end development in Python
Other Qualifications
Proficiency in database technologies and API development.
Strong understanding of scalable architecture and performance optimization for web applications.
Excellent communication and collaboration skills, with a strong focus on team success and customer impact.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
Familiarity with basic ML principles and data science technologies
Strong sense of ownership and delivery of finished products. A balance between craftsmanship and the need to ship products to customers.
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here.
Primary Location: CAN.ON.Toronto
The application deadline for this role is the same as the posting end date stated as below:
Our Approach to Flexible Work
With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
