Machine Learning Engineer Iii

Workday

Pleasanton, CA, USA
Base: $160,000 - $240,000 usd; bonus/equity: eligi...
Hybrid
3+ years production ml system experience
Deep learning and nlp expertise
Rag architectures and agentic frameworks
This role involves architecting sophisticated reasoning and planning agents that interact seamlessly with enterprise data to support continuous learning

Job Summary

  • This role involves architecting sophisticated reasoning and planning agents that interact seamlessly with enterprise data to support continuous learning.
  • Candidates will drive the development of automated node-level optimization algorithms to identify the best LLM and prompt configurations for every workflow step.
  • The team provides critical infrastructure for Workday's AI transformation, enabling rigorous data-driven evaluation and validation of AI agents for millions of users.

Matching Summary

This role involves architecting sophisticated reasoning and planning agents that interact seamlessly with enterprise data to support continuous learning.

Salary

Base: $160,000 - $240,000 USD; Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package including flexible work arrangements

Skills & Requirements

Must-have

  • 3+ years production ML system experience
  • Deep learning and NLP expertise
  • RAG architectures and agentic frameworks
  • Python modular library design
  • Kubeflow and cloud-native deployment

Nice-to-have

  • DSPy and Reinforcement Learning proficiency
  • Graph neural networks experience
  • Multi-modal models knowledge
  • Cross-functional leadership skills
  • Sustainable work-life integration mindset

Key Requirements

  • Master's or Ph.D. in quantitative field
  • 2+ years Python experience
  • Experience with PyTorch or TensorFlow
  • Hands-on MLOps lifecycle ownership

Work Rights

Not specified

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