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. A culture driven by our value of putting our people first is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is essential for success in business. We look after our people, communities, and the planet while still being profitable. 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.
About The Team
The Workday Machine Learning for Financials team researches, builds and deploys, at scale, the engine that powers the heart of Workday’s intelligent core, a platform for 37+ million users and growing. Our engineers work with innovative technologies and help build real-life products that improve the lives of the world's finance professionals.
We are motivated to tackle challenges related to reviewing, recommending, and reconciling financial transactions. We have implemented an outstanding tech stack and are always moving forward with it. We are looking for creative, focused, and skilled machine learning and software engineers to help on a range of challenges.
About The Role
As a Software Engineer–Machine Learning, you will have the opportunity to tackle significant problems, developing and delivering global critical enterprise software using your expertise in design, coding, algorithms, and complexity analysis. Your primary focus will be to:
- Analyze, design, program, debug, and modify software improvements
- Take initiative, exhibit creative thinking, and turn data into real-life insights
- Work on problems related to performance, scalability, and resilience
- Design and develop a product in a development environment where decisions are based on data
- Write and maintain robust, efficient, and testable code using design patterns, object orientation, and machine learning frameworks
- Collaborate with teammates on code reviews and knowledge sharing
- Provide thoughtful and productive code review feedback
About You
Basic Qualifications
- 3 or more years of demonstrated experience with the development of software systems or use of machine learning algorithms in real-life products
- 2 or more years of verifiable experience with an object-oriented language such as Java, Python, Scala, etc.
- Proven experience with Agile methodologies
- Experience working with Product Managers, understanding business requirements, and translating them into technical
- Writes modular, idiomatic, and stylistically consistent code that is easy to read and is well documented.
Other Qualifications
- Comprehensive understanding of object-oriented programming and design patterns
- Familiarity with UML modeling and diagrams
- Experience with unit testing tools and integration tests tools
- Experience with JSON, Avro, and other data structures and integration technologies.
- Experience designing and developing business applications (knowledge of Financials products a plus)
- Strong team player with excellent communication skills
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. 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 geography, experience, skills, job duties, and business need.
Primary Location: CAN.BC.Vancouver
Primary CAN Base Pay Range: $98,400 - $147,600 CAD
Additional US Location(s) Base Pay Range: $112,500 USD - $204,000 USD
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 and maintain a strong community. 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).
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.
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