Senior/principal Machine Learning Engineer

Workday

Pleasanton, CA, USA
Base: $228,000 - $342,000 usd (pleasanton); base: ...
Fully remote
10+ years applied machine learning experience
4+ years pytorch or tensorflow framework experience
6+ years hosting ml models in production at scale
This role involves designing and building the core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod

Job Summary

  • This role involves designing and building the core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.
  • The team focuses on production-grade AI deeply embedded into the platform rather than research experiments, ensuring solutions are scalable and enterprise-ready.
  • Candidates will work at the intersection of AI, platform architecture, and human workflows with autonomy to shape how agents reason, act, and scale responsibly.

Matching Summary

This role involves designing and building the core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.

Salary

Base: $228,000 - $342,000 USD (Pleasanton); Base: $190,600 - $342,000 USD (Other US locations); Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants

Skills & Requirements

Must-have

  • 10+ years applied machine learning experience
  • 4+ years PyTorch or TensorFlow framework experience
  • 6+ years hosting ML models in production at scale
  • 3+ years Large Language Models (LLMs) experience
  • 6+ years cloud computing platforms AWS or GCP
  • Bachelor's degree in engineering or computer science

Nice-to-have

  • Master's or PhD preferred in relevant field
  • Experience with graph neural network models
  • Deep understanding of statistical analysis
  • Proven track record of leading ML teams
  • Ability to solve ambiguous open-ended problems

Key Requirements

  • 10+ years experience building applied ML products at scale
  • 4+ years professional experience in ML deep learning frameworks
  • 6+ years experience building services to host ML models
  • 3+ years demonstrated experience with LLMs and text generation
  • 6+ years proven experience with cloud computing platforms
  • Bachelor's degree required; Master's or PhD preferred

Work Rights

Not specified

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