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 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.
  • Candidates must have a proven track record of successfully leading, mentoring, and managing ML Engineering teams while fostering a culture of collaboration and innovation.
  • The position offers a competitive annualized base salary ranging from $228,000 to $342,000 USD depending on location, along with bonus plans and stock grants.

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; 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 hosting ML models in production at scale
  • 3+ years Large Language Models (LLMs) experience
  • 6+ years cloud computing platforms AWS or GCP

Nice-to-have

  • Experience with graph neural network models
  • Deep understanding of statistical analysis algorithms
  • Proven track record leading and mentoring teams
  • Ability to solve ambiguous open-ended problems
  • Strong interpersonal communication skills

Key Requirements

  • Bachelor's degree in engineering, computer science, physics, math or equivalent
  • Master's or PhD preferred
  • 10+ years experience as member of data science or ML engineering team
  • 7+ years experience for Senior level designation
  • Must have US work authorization status

Work Rights

Not specified

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