Principal Machine Learning
About The Position
The Deployment Technology team in our Product & Engineering organization is actively looking for a seasoned, highly technical and mission-driven Principal, Machine Learning. This is an exciting cross-functional role where you will work in partnership with a variety of stakeholders including but not limited to Product, Engineering, Technology, Design, Community, Services, Solution Marketing, and Solution Management. You will uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, and design experiments that drive adoption and engagement of Workday’s products and help grow the business.
Requirements
- 12+ years experience in machine learning development, leading ML research and development initiatives, designing complex ML systems, and ensuring the scalability and performance of ML models in production.
- Bachelor’s degree in a relevant discipline such as Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related discipline, or equivalent practical experience
- Expert-level ability in Data Processing, including to architect and optimize data pipelines for large-scale machine learning.
- Deep and strategic knowledge of Data Science principles and their application in research or novel algorithm development.
- Proven ability to lead Exploratory Data Analysis (EDA) initiatives to define data strategy or uncovering fundamental insights.
- Mastery of Feature Engineering methods to develop innovative feature representations or addressing complex data challenges.
- Expert-level knowledge of a broad range of Machine Learning algorithms and their strategic application in complex and novel problem domains.
- Proven ability to lead Model Building processes and advanced and novel modeling techniques.
- Mastery of the Model Development lifecycle and experience in designing robust deployment architectures or addressing model drift at scale.
- Deep expertise in Model-Based Design (MBD) concepts and their application in relevant complex and strategic application areas.
- Mastery in Python (Programming Language) and a comprehensive understanding of the ecosystem for data science and machine learning.
- Strong understanding of Software Development principles and extensive experience in architecting and deploying scalable and reliable machine learning systems in production.
- Exceptional Team Collaboration and leadership skills, with the ability to guide and mentor senior team members and influence organizational best practices.
Nice To Haves
- a Master's or PhD in a relevant discipline is strongly preferred.
Responsibilities
- Lead the ML strategy for global deployment initiatives, driving faster, safer, and more predictable customer onboarding
- Architect and deliver advanced analytical, statistical, and machine learning solutions that optimize data migration, configuration validation, risk detection, and adoption outcomes across customer environments
- Partner with global stakeholders - including product, engineering, customer success, and implementation teams - to embed data-driven decisioning directly into deployment tooling and workflows
- Define success metrics and experimentation frameworks, establishing the leading indicators for customer adoption, time-to-value, and deployment quality across regions and industries
- Influence product roadmaps by translating complex insights into actionable strategic recommendations for senior leadership and stakeholders
Benefits
- Workday Bonus Plan or a role-specific commission/bonus
- annual refresh stock grants
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Principal
