Senior/principal Machine Learning Engineer

Workday

Atlanta, GA, USA
Base: $228,000 - $342,000 usd; bonus/equity: eligi...
Fully remote
10+ years applied machine learning experience
4+ years pytorch or tensorflow framework experience
6+ years production model hosting at scale
This role involves designing and building 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 core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.
  • Candidates will implement frameworks for LLM-powered agents, including RAG pipelines and workflow orchestration, ensuring solutions are scalable and enterprise-ready.
  • Workday offers a culture rooted in integrity and empathy, providing the trust to take risks and tools to grow for long-term career development.

Matching Summary

This role involves designing and building 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; Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package available

Skills & Requirements

Must-have

  • 10+ years applied machine learning experience
  • 4+ years PyTorch or TensorFlow framework experience
  • 6+ years production model hosting at scale
  • 3+ years Large Language Model implementation
  • 6+ years AWS or GCP cloud platform experience

Nice-to-have

  • Experience with graph neural network models
  • Deep understanding of unsupervised learning algorithms
  • Ability to solve ambiguous open-ended problems
  • Strong interpersonal and communication skills
  • Track record of mentoring engineering teams

Key Requirements

  • Bachelor's degree in engineering, CS, physics, math or equivalent
  • Master's or PhD preferred
  • Proven track record leading ML engineering teams
  • 7+ years experience for Senior level qualification

Work Rights

Not specified

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