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, planning, and swarm agents that interact seamlessly with enterprise data to support continuous learning

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 the opportunity to work with exclusive, high-integrity enterprise datasets at the frontier of Agentic AI within a people-first culture.

Matching Summary

This role involves architecting sophisticated reasoning, planning, and swarm 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 with asynchronous patterns
  • PyTorch or TensorFlow proficiency
  • Cloud-native deployment on K8s/Docker

Nice-to-have

  • DSPy and Reinforcement Learning techniques
  • Graph neural networks and multi-modal models
  • A/B testing and golden dataset curation
  • Cross-functional leadership and mentorship
  • Curious minds and courageous collaboration

Key Requirements

  • Master's or Ph.D. in quantitative field
  • Peer-reviewed research publications portfolio
  • 2+ years Python experience
  • Experience with Kubeflow and A/B testing
  • Hands-on MLOps lifecycle management

Work Rights

Not specified

Tailored Resume

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