Machine Learning Engineer Iii

Workday

Pleasanton, CA, USA
Base: $160,000 - $240,000 usd; bonus/equity: eligi...
Hybrid
3+ years production ml 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

Job Summary

  • This role involves architecting sophisticated reasoning and planning agents that interact seamlessly with enterprise data.
  • Candidates will drive the development of automated optimization algorithms to identify the best LLM configurations for workflows.
  • The team offers access to exclusive high-integrity enterprise datasets and a 'people-first' culture balancing innovation with work-life integration.

Matching Summary

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

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 experience
  • Deep learning and NLP expertise
  • RAG architectures and agentic frameworks
  • Python with asynchronous patterns
  • MLOps and cloud-native deployment

Nice-to-have

  • DSPy and Reinforcement Learning proficiency
  • Graph neural networks experience
  • Multi-modal model knowledge
  • Cross-functional leadership skills
  • Peer-reviewed research publications

Key Requirements

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

Work Rights

Not specified

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