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 like working with data? We guess you probably do since you’re looking at a Machine Learning Engineer job description. While only a subset of the population uses online shopping, or orders food deliveries, or binges TV series. But everyone, EVERYONE!, who gets paid is exposed to payroll data. More of it every month, every day, every hour. Payroll has more or less done the same thing since it was the first ever automated business application built in the 1950s. But we believe that using modern AI techniques, Workday has been transforming the way that Payroll is processed. So if you like working with huge volumes of vital data and you are interested in a goal of making people’s lives better by ensuring they get paid correctly, accurately, swiftly for the work they do, we’d love to talk to you!

About the Role

As an ML Engineer, you will help develop data & AI -driven, automated, comprehensive solutions at global scale for all size and types of enterprise using modern software, data, and AI engineering stacks. You will work closely with product managers, software engineers to deliver AI solutions that provide payroll administrators and users enormous value and efficiency. Your work will also ensure that users have the best payroll processing experience by providing predictive analytics and recommendations.

You will use Workday’s AI development environment and resources on rich HR and Payroll datasets to deliver value that transforms the way our customers use Payroll products. You will apply your highly technical problem solving, creative thinking, beautiful mind using the latest AI Agent technologies and toolsets and make a huge impact on the world’s largest enterprises that use Workday to process payroll for millions of employees.

About You

Basic Qualifications

• 5+ yrs experience as part of a data science, machine learning software development team or relevant work in a PhD program.

• Experience using Python and frameworks such as Pytorch, TensorFlow

• Experiences related to machine learning, deep learning, NLP, GenAI, multi-agent AI systems, distributed training, model hosting, etc

• Experienced in handling large-scale, complex data sets, data modeling, and productizing machine learning algorithms.

Other Qualifications:

• B.S. or M.S. in relevant fields (Computer Science, Mathematics, Engineering). PhD preferred

• Be part of a team of data scientists and software developers and learn all about HR and Payroll data and processes

• Own data exploration and transformation, feature & prompt engineering, design and enhance ML models/frameworks

• Strong experience building applied machine learning products, including taking a product through design, implementation, and to production is a plus.

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.GA.AtlantaPrimary Location Base Pay Range: $147,200 USD - $220,800 USDAdditional US Location(s) Base Pay Range: $139,800 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!