Posted in Engineering about 6 hours ago.
Type: Full Time
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
Welcome to the Machine Learning Integrations team! With understanding of both the main Workday stack, XO, and the ML software environments, we work collaboratively to build innovative solutions that simplify the process of incorporating ML inference applications into our enterprise software system. We embrace challenges and are driven by the opportunity to shape the future of ML adoption in the industry. Join us and be part of a team that is at the forefront of redefining how businesses use the power of ML to drive success.About the Role
This role will primarily involve developing software that bridges the gap between machine learning (ML) and the rest of Workday's technology platform.
Key Responsibilities:
Ad-hoc ML Integration support for the ML organization including:
Innovation service artifact creation (ie. IDDs)
Data collection and IS opt-in
ML Inference uptake in bespoke and XO applications
XO Web Services
Innovative ways for ML systems to communicate with the Workday platform
Improvements to the explainability of Workday's internals to ML models
Building experimental UIs for ML-led product features
Design, implement and maintain frameworks to integrate machine learning models and services into Workday applications
Drive the design of interfaces, APIs, and UI components
Facilitate collection of implicit user feedback across all ML features
Interface and coordinate with ML integration teams inside of apps and AppDev teams
About You
We are open to hiring at either a Software Development Engineer or Sr Software Development Engineer level (P3 or P4), depending on experience and skills of the selected candidate.
Basic Qualifications (Software Development Engineer):
3+ years experience in software engineering and with object-oriented (OO) design and development experience in XpressO
Other Qualifications (Software Development Engineer):
Pre-existing knowledge of the Workday Stack (ie. OMS, AOD, UIC/UIS, XDF/RDF, etc)
XO expertise in REST API, Reporting, Security and Performance (advocacy on some of these areas is a bonus)
Familiarity with standard web concepts including: html/css, javascript, react, REST and http
Bachelor's degree in engineering, computer science, physics, math or equivalent
Basic Qualifications (Sr. Software Development Engineer):
5+ years experience in software engineering
2+ years experience with object-oriented (OO) design and development experience in XpressO
Other Qualifications (Sr. Software Development Engineer):
Pre-existing knowledge of the Workday Stack (ie. OMS, AOD, UIC/UIS, XDF/RDF, etc)
XO expertise in REST API, Reporting, Security and Performance (advocacy on some of these areas is a bonus)
Familiarity with standard web concepts including: html/css, javascript, react, REST and http
Bachelor's degree in engineering, computer science, physics, math or equivalent
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.BC.VancouverPrimary CAN Base Pay Range: $127,000 - $190,400 CADAdditional US Location(s) Base Pay Range: $140,600 USD - $248,400 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, 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!
PDN-9d8c082b-ae65-4e0c-928e-b26a85e06b28|
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