Sr Machine Learning Engineer

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

This is a very exciting opening in the Matching team within the Data Science group . We believe if you do what you love, you’ll love what you do. There’s a lot to love at Workday. We are part of a global, high-growth technology company and our team has the opportunity to develop the next generation of Workday’s groundbreaking collaborative products supporting a customer base of more than 31 million strong. You will tackle sophisticated problems and influence teams across Workday as you build enterprise software. Thrive in our fun, people-first culture that builds an environment focused on your success and ability to do your best work. Join us as we change and optimize the way millions of end-users 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-focused, and deeply skilled machine learning engineers/scientists to work with us on a range of these challenges

About the Role

• Learn new technologies and software best practices from a group of people who are passionate about it. 

• Own exploration, design and execution of advanced ML models, algorithms and frameworks that deliver value to our users.

• Create AI products that bring value to our users and clients

• Engineer relevant features from textual data to facilitate accurate model predictions and classification.

• Innovate and develop new ideas fast and agile, from scratch to POC, including data analysis, software development, machine learning, and integration with other services. 

• Train, validate, and fine-tune machine learning models using large-scale datasets to achieve robust performance.

• Own the performance, scalability, metric based deployed evaluation, and ongoing data driven enhancements of your products.

• Collaborate across teams to deliver your products through Workday end user applications.

• Be given autonomy and ownership over your work, but with the support of the entire organization.

• Keep abreast of the latest advancements in NLP research, techniques, and tools.

• Have extraordinary opportunities for career growth and learning in a fast-growing, forward-looking company.

About You

• 8+ yrs experience as a member of a data science or machine learning science, machine learning engineering, or other relevant software development team.
• Proficiency in Python and supporting numeric libraries, with experience in shipping production code and models.
• Experience in machine learning and deep learning frameworks & toolkits such as Pytorch, Tensorflow, and Sklearn. 
• Bachelor's degree in Computer Science or a related field
• Proven theoretical and practical understanding of statistical analysis and machine learning algorithms, natural language processing, especially for supervised, unsupervised and self-supervised methods.
• Experience with generative models, large language models, and transformer based deep neural networks.
• Execution of projects for products handling large-scale, sophisticated data sets, data modeling, and productizing algorithms.

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!