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, planning, and swarm agents that interact seamlessly with enterprise data

Job Summary

  • This role involves architecting sophisticated reasoning, planning, and swarm agents that interact seamlessly with enterprise data.
  • Candidates will drive the development of automated node-level optimization algorithms to identify the best LLM and prompt configurations.
  • The position offers access to exclusive, high-integrity enterprise datasets and the opportunity to work at the frontier of Agentic AI.

Matching Summary

This role involves architecting sophisticated reasoning, planning, and swarm 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
  • Text-to-SQL and semantic parsing
  • Kubeflow and MLOps pipelines

Nice-to-have

  • DSPy and Reinforcement Learning
  • Graph neural networks
  • Multi-modal models
  • Peer-reviewed research publications
  • Cross-functional leadership skills

Key Requirements

  • Master's or Ph.D. in quantitative field
  • 3+ years researching and deploying ML systems
  • 2+ years Python experience
  • Experience with PyTorch or TensorFlow

Work Rights

Not specified

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