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
We believe if you do what you love, you’ll love what you do. There’s a lot to love at Workday. Part of a global, high-growth technology company, our Workday ML team has the unique opportunity of developing the next generation of Workday’s groundbreaking collaborative products supporting a customer base of more than 31 million strong. You will solve complex problems and influence teams across Workday as you build enterprise software. Thrive in our fun, people-first culture that creates an environment passionate about your success and ability to do your best work. Join us as we change the way millions of people work.
Are you incredibly motivated by witnessing machine learning/AI products come to life in production settings which impact tens of millions of people? 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-oriented, and deeply skilled machine learning engineers/scientists to help on a range of these challenges.
About The Role
As a Machine Learning Engineer on the HCM Skills ML team, you will
- Explore, design and implement the development of machine learning models and frameworks that deliver value to our users.
- Work closely with ML engineers, software developers and product managers to take ML-powered services from inception to production
- Use high-quality datasets from the world’s largest enterprises across applications spanning NLP, NER
- Apply modern software and data-engineering stacks along with Workday’s vast computing resources to enable training, deployment and lifecycle management of ML models
- Develop new APIs/Microservices and deploy them into production at scale
- Lead the performance and ongoing improvements of your products.
- Be given autonomy and ownership over your work
- Have outstanding opportunities for career growth and learning in a fast-growing, forward-looking company.
- We will challenge you to apply your best creative thinking, analysis, problem-solving, and technical abilities to make an impact on thousands of enterprises and millions of people.
About You
Basic Qualifications:
- 3 years of proven experience as part of a data science, machine learning, or software development teams
- 3 years of proven experience in Python
Other Qualifications:
- Programming in Python using numpy/scipy, sklearn, and pandas
- Experience with NLP and Transformer based networks
- Experience with ML frameworks & toolkits
- Experience building and productionizing applied machine learning products
- Experience with modern software-engineering practices
- Experience handling large-scale, complex data sets, data modeling, and productizing machine learning algorithms.
- An ability to balance a speed-to-market with shipping high quality and pragmatic solutions
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
