Machine Learning Engineer Iii

Workday Inc

Pleasanton, CA, USA
Base: $160,000 - $240,000 usd; bonus/equity: eligi...
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3+ years production ml systems experience
Deep learning and nlp expertise
Rag architectures and agentic frameworks
** Workday Inc. is seeking a Machine Learning Engineer III to join their AI Platform team in Pleasanton, CA. The role focuses on developing and optimizing AI solutions, particularly in Information Retrieval and Agent Evaluation, within a collaborative and inclusive company culture. **

Job Summary

  • This role involves architecting sophisticated reasoning, planning, and swarm 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 position offers access to exclusive, high-integrity enterprise datasets and the opportunity to work at the frontier of Agentic AI validation and scaling.

Matching Summary

Match Score: 75

** Workday Inc. is seeking a Machine Learning Engineer III to join their AI Platform team in Pleasanton, CA. The role focuses on developing and optimizing AI solutions, particularly in Information Retrieval and Agent Evaluation, within a collaborative and inclusive company culture. **

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 options

Skills & Requirements

Must-have

  • 3+ years production ML systems experience
  • Deep learning and NLP expertise
  • RAG architectures and agentic frameworks
  • Python asynchronous patterns and scalable architecture
  • Cloud-native deployment with Docker/K8s

Nice-to-have

  • DSPy and Reinforcement Learning proficiency
  • Graph neural networks and multi-modal models
  • Knowledge Graphs and Golden Dataset curation
  • Cross-functional leadership and mentorship
  • Test-everything mindset for model benchmarking

Key Requirements

  • Master's or Ph.D. in quantitative field
  • 2+ years Python experience
  • 3+ years deep learning/NLP experience

Work Rights

Not specified

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