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
Are you motivated by witnessing machine learning/AI products come to life in production settings which impact tens of millions of people? As part of a global, high-growth technology company, our work supports thousands of the largest global companies and more than 30 million end users. Workday’s Machine Learning organization is bringing “AI first” products to life at every step of the Workday product offering. We’re looking for highly creative, results-focused, and deeply skilled machine learning engineers/scientists to join us in building innovative AI solutions.About the Role
As a Sr. Machine Learning Engineer, you will have the opportunity to tackle significant problems, which comes with 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, have the determination to 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 team mates on code reviews, knowledge share, hackathons, etc.
Provides thoughtful and productive code review feedback that is seen by teammates as a significant improvement
About You
Basic Qualifications
6 or more years of demonstrated experience with the development of software systems or use of machine learning algorithms in real-life products
5 or more years of verifiable experience with an object-oriented language such as Java, Python, Scala, etc.
Proven experience with Agile methodologies
Other Qualifications
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.
Comprehensive understanding of object-oriented programming and design patterns
Shown familiarity 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)
Must be strong at working in a team setting and able to communicate superbly well
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.AB.CalgaryPrimary CAN Base Pay Range: $148,000 - $222,000 CADAdditional CAN Location(s) Base Pay Range: $148,000 - $222,000 CAD
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!
