4+ years pytorch or tensorflow framework experience
6+ years hosting ml models in production at scale
Workday is seeking a Senior/Principal Machine Learning Engineer to join their Agent Factory team, focusing on designing and building production-grade AI systems. The role emphasizes collaboration across cross-functional teams and requires extensive experience in machine learning, cloud computing, and leadership in engineering teams
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.
The position requires implementing frameworks for LLM-powered agents including RAG pipelines, workflow orchestration, and evaluation loops to ensure enterprise-ready solutions.
Candidates must have a proven track record of leading ML engineering teams while fostering a culture of collaboration, transparency, and continuous improvement.
Matching Summary
Match Score: 85
Workday is seeking a Senior/Principal Machine Learning Engineer to join their Agent Factory team, focusing on designing and building production-grade AI systems. The role emphasizes collaboration across cross-functional teams and requires extensive experience in machine learning, cloud computing, and leadership in engineering teams.
Salary
Base: $228,000 - $342,000 USD (Atlanta); Base: $190,600 - $342,000 USD (Other US locations); Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants
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 Large Language Models (LLMs) experience
6+ years cloud computing platforms AWS or GCP
Nice-to-have
Experience with graph neural network models
Strong background in statistical analysis and NLP
Ability to solve ambiguous open-ended problems
Track record of mentoring and leading teams
Deep understanding of autonomous agent architectures
Key Requirements
Bachelor's degree required; Master's or PhD preferred
7-10+ years total experience in data science or ML engineering
Proven leadership in managing development lifecycles and sprint planning