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Principal Machine LearningHR Tech Job • Pleasanton, California, United States
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Principal Machine Learning

HR Tech Job
  • US
    Pleasanton, California, United States
  • US
    Pleasanton, California, United States
Jetzt Bewerben

Über

Your Work Days Are Brighter Here We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun‑drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop, and the support of a company invested in you for the long haul.
About the Team The Deployment Technology team in our Product & Engineering organization is actively looking for a seasoned, highly technical, and mission‑driven Principal, Machine Learning. This exciting cross‑functional role involves partnering with stakeholders across Product, Engineering, Technology, Design, Community, Services, Solution Marketing, and Solution Management to 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.
About the Role
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
About You Basic Qualifications
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
Experience in advanced machine learning methodologies, distributed ML frameworks, and cloud‑based ML platforms
Bachelor’s degree in a relevant discipline such as Computer Science, Data Science, Statistics, Mathematics, Engineering, or equivalent practical experience; a Master’s or PhD strongly preferred
Other Qualifications
Expert‑level ability in data processing to architect and optimize data pipelines for large‑scale machine learning
Deep knowledge of data science principles and their application in cutting‑edge areas such as novel algorithm development
Proven ability to lead exploratory data analysis initiatives to define data strategy or uncover fundamental insights
Mastery of feature engineering methods to develop innovative feature representations or address complex data challenges
Expert‑level knowledge of a broad range of machine learning algorithms and their application in complex domains
Proven ability to lead model‑building processes and advanced 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 concepts and their application in strategic areas
Mastery of Python and comprehensive understanding of the data science and machine learning ecosystem, including advanced libraries
Strong understanding of software development principles and experience in architecting and deploying scalable, 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
Workday Pay Transparency Statement The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role‑specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please refer to the benefits information provided during the hiring process.
Primary Location: USA. CA. Pleasanton
Base Pay Range: $228,000 USD - $342,000 USD
Additional US Location(s) Base Pay Range: $190,600 USD - $342,000 USD
Equal Opportunity Employer Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
Fair Chance Law With respect to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Accessibility and Inclusive Hiring Workday is committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.
Applicant Confidentiality Workday values its candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 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.
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  • Pleasanton, California, United States

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  • English
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