Senior Machine Learning Engineer

Architect & Build: Design, develop, and deploy scalable machine learning models and AI systems (ranging from predictive models to Generative AI and LLM-powered agents) that directly impact Workday's core enterprise applications.

End-to-End Ownership: Take full ownership of the ML lifecycle, including data extraction, feature engineering, model training, deployment, optimization, and continuous monitoring in a high-scale production environment.

Cross-Functional Collaboration: Partner closely with Data Scientists, Software Engineers, Product Managers, and UX Designers to translate complex business problems into robust AI solutions.

Drive Technical Excellence: Establish and advocate for engineering best practices, robust MLOps processes, and highly optimized code.

Mentorship & Leadership: Guide and mentor junior engineers, conduct code and architecture reviews, and help shape t...