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.

At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 

  

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

  

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

About the Team

At Workday Data Science team. we deliver impactful GenAI products and ML models to support growth and optimization needs of Sales & Marketing, CX , Product analytics and Finance organizations. We choose to imagine things made better, and then set out on a journey to realize what’s possible. By blending design, product engineering, analytics, and automation, we build the custom-built ML Models and data products of tomorrow. As a ML Engineer, you’ll design and deliver innovative Machine Learning solutions as part of intelligent products on Databricks and H2O by using core cloud data science tools, ML Ops components, and other big data related technologies. This includes helping lead and craft projects in their initial phases and deliver them with a team. Additionally, you’ll collaborate closely with a variety of stakeholders across the Workday organization and the Enterprise Data and Architecture teams.

About the Role

• Develop UI for GenAI Products
• Build Intuitive LLM products for Sales, CX and Revops team
• Proficient in UI and problem solving.
• Implement models and algorithms on Databricks and H2O
• Write in Python or other languages to deliver a wide variety of Machine Learning & Data Science solutions
• Building tools to accelerate feature experimentation and exploration with lineage, data privacy protection and easier model performance debugging.
• Stay abreast of new tools, packages, and Machine Learning techniques while consistently pushing the limit of what is possible to deliver the best solutions for clients
• Manage AWS assets including compute, storage, ID management.
• Collaborate with Product Owners to apply Workday’s agile processes and be responsible for the initiation, delivery, and communication of projects for the stakeholder organizations
• Building ML-as-a-service, with the purpose of taking experiments to production quickly.
• Share learnings and project findings with the wider Workday Machine Learning Community
• Willing to work across multiple time zones.

About You

• Proficient in UI and problem solving.
• Proficient in middleware tech stack like MongoDB, DynamoDB and AWS.
• Experience implementing models or machine learning algorithms in production
• Proficient experience writing SQL, Spark
• Experience on any of these cloud platforms (AWS, Azure, GCP)
• Experience developing models and other data science work with Python (preferred) or R
• (Preferred) Familiarity with ML Ops pipelines or CI/CD implementations
• (Optional) Quantitative graduate degree
• (Optional) One or more of the following other languages: Python, R, JavaScript, Go, Scala

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.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!