4+ years pytorch or tensorflow framework experience
6+ years hosting ml models in production at scale
This role involves designing and building the core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod
Job Summary
This role involves designing and building the core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.
Candidates must have a proven track record of successfully leading, mentoring, and managing ML Engineering teams while fostering a culture of collaboration and innovation.
The position offers a competitive annualized base salary ranging from $228,000 to $342,000 USD depending on location, along with bonus plans and stock grants.
Matching Summary
This role involves designing and building the core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.
Salary
Base: $228,000 - $342,000 USD; Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package available
Skills & Requirements
Must-have
10+ years applied machine learning experience
4+ years PyTorch or TensorFlow framework experience
6+ years hosting ML models in production at scale
3+ years working with Large Language Models (LLMs)
6+ years cloud computing platform experience AWS GCP
Nice-to-have
Experience leading and mentoring ML engineering teams
Deep understanding of statistical analysis and NLP
Ability to solve ambiguous open-ended problems
Strong interpersonal and communication skills
Knowledge of autonomous agents and orchestration frameworks
Key Requirements
Bachelor's degree in engineering, computer science, physics, math or equivalent
Master's or PhD preferred
Proven leadership experience in ML Engineering teams
Experience taking products through applied research to production