Machine Learning Engineer Iii

WORKDAY AUSTRALIA PTY

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 for a Fortune 500 company

Job Summary

  • This role involves architecting sophisticated reasoning and planning agents that interact seamlessly with enterprise data for a Fortune 500 company.
  • Candidates will drive the optimization of LLM configurations and build recommender systems to empower engineering teams in evaluating their agents.
  • The position offers access to exclusive high-integrity enterprise datasets and the opportunity to scale AI solutions for over 31 million users.

Matching Summary

This role involves architecting sophisticated reasoning and planning agents that interact seamlessly with enterprise data for a Fortune 500 company.

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 asynchronous patterns
  • Text-to-SQL and semantic parsing
  • Kubeflow and MLOps lifecycle

Nice-to-have

  • DSPy and reinforcement learning
  • Graph neural networks
  • Multi-modal models
  • Peer-reviewed research publications
  • Cross-functional leadership skills
  • Sustainable work-life integration culture

Key Requirements

  • Master's or Ph.D. in quantitative field
  • 2+ years Python experience
  • Experience with PyTorch or TensorFlow
  • Cloud-native deployment skills (Docker/K8s)

Work Rights

Not specified

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