Job Specifications
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
We're working on making machine learning core to Workday's products by building features and capabilities that can be scaled out to hundreds of use cases within Workday. Illuminate: The next generation of Workday AI is unlocking a whole new level of productivity and human potential by accelerating manual tasks, assisting every employee, and ultimately transforming entire business processes. With more than 70 million users under contract generating more than 800 billion transactions a year on our platform, Illuminate employs the world's largest and cleanest HR and Finance dataset. The combination of this data--with Illuminate's ability to understand the context behind it--enables Workday to unlock value in a way no competitor can. Join us as we change the way millions of people work!
About The Role
We are developing ML-powered Information Retrieval, Recommendation and Agentic services and platforms to modernize and simplify user interactions with Workday. As a senior machine learning engineer, you will help develop tailored user experiences using advanced Agentic AI, LLMs, Knowledge Graphs, personalization, and predictive analysis. Collaborate with other engineers to deliver ML solutions across Workday's product ecosystem and use current software and data engineering stacks to enable training, deployment, and lifecycle management of a variety of ML models; supervised and unsupervised, and agentic AI powered by LLMs. Additionally, you will develop and deploy new APIs/microservices using docker/kubernetes at scale and leverage Workday's vast computing resources on rich datasets to deliver transformative value to our customers. Sound like your kind of challenge?
About You
In addition to contributing to feature and service development, you must have an approach of continuous improvement, passion for quality, scale, and security. Be curious and prepared and question or challenge choices and practices where they don't make sense or could be improved. Having a product approach and strong intuition around how ML can drive a better customer experience. Also, a strong sense of ownership and teamwork are crucial to succeed in this role.
Key Responsibilities:
Own exploration, design and execution of sophisticated ML models, algorithms and frameworks that deliver value to our users
Apply machine learning techniques including LLMs, knowledge graphs, deep learning including generative models, natural language understanding, topic modeling and named entity recognition to analyze large sets of HR and Finance-related text data, and design and launch pioneering cloud-based machine learning architectures
Be responsible for the performance, scalability, metric based deployed evaluation, and ongoing data driven enhancements of the products
Stay on top of the latest advancements in NLP research, techniques, and tools and apply this knowledge to ML Features. Serve as a technical role model for more junior engineers
Respond to alerts and debug production issues as part of on-call rotation
Basic Qualifications:
Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent
5+ yrs experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
5+ years of professional experien
About the Company
Workday is a leading provider of enterprise cloud applications for finance and human resources, helping customers adapt and thrive in a changing world. Workday applications for financial management, human resources, planning, spend management, and analytics are built with artificial intelligence and machine learning at the core to help organizations around the world embrace the future of work. Workday is used by more than 10,000 organizations around the world and across industries - from medium-sized businesses to more than ...
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