Workday, Inc. Beaverton , OR 97075
Posted 1 week ago
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.
About the Team
About the Team
Machine Learning for Financials and Document Intelligence is responsible for the architecture and development of the machine learning technologies underpinning one of Workday's fastest-growing lines of business. Our work is a blend of large-scale data processing, battle-hardened machine learning methodology, and microservice design that places craftsmanship at the forefront of everything we do. We are responsible for our Document Intelligence platform as well as building intelligence into the heart of the Workday Financials product suite.
About the Role
As an engineer on the ML for Financials and Document Intelligence team, you will have the opportunity to tackle sophisticated problems, which comes with developing and delivering global critical enterprise software using your expertise in design, coding, algorithms, and modeling. Your primary focus will be to:
Build tools, technologies and platforms for productizing Machine Learning models in business-critical Enterprise software
Work closely with Data Scientists and product managers to take services from inception to production
Takes ownership for finding creative solutions that move projects forward
Analyze, design, program, debug, and modify software improvements
Take initiative, exhibit creative thinking, have the determination to turn data into real-life insights
Mentor and guide other engineers
Write elegant code that exemplifies standard methodologies for automation, observability, testing, and service interaction using design patterns, object orientation, and machine learning frameworks
Work together with team mates on code reviews, knowledge share, hackathons, etc.
About You
Basic Qualifications for Principal
Basic Qualifications for Senior
Other Qualifications
Strong sense of ownership and delivery of finished products. A balance between craftsmanship and the need to ship products to customers
Leads a team in translating business use cases into concrete software problems, applying innovative technologies and consistently balances algorithmic elegance with engineering considerations such as scale and maintenance and overhead
Active and influential contributor in the design of systems and services, accounting for stability, scalability, performance and observability as first-class considerations
Proven experience with the development of software systems and use of machine learning algorithms in real-life products
Must be a strong teammate with effective communication and interpersonal skills
Proven experience building a network of multi-functional relationships that represent a source of new information and ideas for the team.
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: USA.CO.Boulder
Primary Location Base Pay Range: $172,000 USD - $258,000 USD
Additional CAN Location(s) Base Pay Range: $151,200 - $226,800 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!
Workday, Inc.