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 and providing intelligent automation. Come join us and make easier and balanced for millions of Workday users!
About the Role
In this software engineering role, you will work with machine learning engineers to build, test, and deploy agentic solutions. You will be part of a fast-paced team with a startup-like mentality. In the early stages of the project you will rapidly iterate on prototypes and proof-of-concepts, and in the later stages you will build robust, scalable solutions.
Your primary focus will be to:
Build and deploy Python and Spark-based ETL pipelines for collecting, joining, transforming, and loading data used for model training and inference
Build and deploy secure, restful web services in Python and Kubernetes that run the agents and invoke actions
Design and implement a multitenant runtime architecture that enables fast inference, scales to millions of users, and integrates with existing Workday components
Build React-based interactive prototypes/demos for showcasing and evaluating the agents
You will also:
Collaborate with cross-functional teams, including machine learning engineers, product managers, and UX designers
Take ownership for finding creative solutions that move projects forward
Write clean, maintainable, and testable code following best practices 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
Qualifications:
4+ years of experience with production software development.
Strong proficiency in Python.
Strong understanding of scalable architecture and performance optimization for web applications.
Strong sense of ownership and delivery of finished products. A balance between craftsmanship and the need to ship products to customers.
Excellent communication and collaboration skills, with a strong focus on team success and customer impact.
Experience with full stack engineering, including front-end frameworks (e.g. React), database technologies, and API development
Experience building Spark-based data pipelines
Experience deploying production services to cloud platforms (e.g., AWS, Azure, GCP) and using containerization technologies (e.g., Docker, Kubernetes).
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
Primary Location Base Pay Range: $132,800 USD - $199,200 USD
Additional US Location(s) Base Pay Range: $145,900 USD - $259,200 USDIf performed in Colorado, the pay range for this job is $153,600 - $230,400 USD based on min and max pay range for that role if performed in CO.
The application deadline for this role is the same as the posting end date stated as below:
02/14/2025
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!
