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
Workday is seeking a Senior/Principal Machine Learning Engineer to design and build core ML systems for their AI agents. The role emphasizes collaboration within cross-functional teams and offers a fully remote work environment

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

Matching Summary

Match Score: 85

Workday is seeking a Senior/Principal Machine Learning Engineer to design and build core ML systems for their AI agents. The role emphasizes collaboration within cross-functional teams and offers a fully remote work environment.

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
  • 3+ years Large Language Models (LLMs) experience
  • 6+ years cloud computing platforms AWS or GCP

Nice-to-have

  • Master's or PhD in engineering or computer science
  • Experience with graph neural network models
  • Deep understanding of statistical analysis algorithms
  • Proven track record of mentoring ML teams
  • Ability to solve ambiguous open-ended problems

Key Requirements

  • Bachelor's degree in engineering, CS, physics, math or equivalent
  • 10+ years experience building applied ML products at scale
  • 7+ years experience for Senior level qualification
  • Proven leadership in development lifecycle and sprint planning

Work Rights

Not specified

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