Principal Ai Researcher

Workday Inc

Pleasanton, CA, USA
Base: $190,600 - $342,000 usd; bonus/equity: eligi...
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8+ years ai/ml research experience
Phd or master's in computer science
Deep expertise in llms and vlms
** Workday Inc is seeking a Principal AI Researcher for its innovative AI Research team, which focuses on advancing AI technology for enterprise solutions. The ideal candidate will have significant experience in AI/ML research and be a thought leader in developing agentic AI systems. **

Job Summary

  • This role serves as a technical founder and visionary for Workday AI Research, defining the frontier of agentic reasoning and long-horizon planning.
  • The successful candidate will advance state-of-the-art capabilities in pre-training, post-training, and domain-specific alignment for global enterprise workflows.
  • Workday offers a flexible work approach requiring at least 50% time in-office or field, combined with competitive compensation including bonus plans and stock grants.

Matching Summary

Match Score: 75

** Workday Inc is seeking a Principal AI Researcher for its innovative AI Research team, which focuses on advancing AI technology for enterprise solutions. The ideal candidate will have significant experience in AI/ML research and be a thought leader in developing agentic AI systems. **

Salary

Base: $190,600 - $342,000 USD; Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package described on company site

Skills & Requirements

Must-have

  • 8+ years AI/ML research experience
  • PhD or Master's in Computer Science
  • Deep expertise in LLMs and VLMs
  • Experience with PyTorch, JAX, or TensorFlow
  • Proven track record of SOTA publications
  • Background in RLHF, DPO, or alignment

Nice-to-have

  • Strong background in multi-agent systems
  • Experience with tool-use frameworks
  • Ability to lead technical strike teams
  • Commitment to explainable and fair AI
  • Exceptional communication skills for stakeholders

Key Requirements

  • 8+ years professional AI/ML research experience
  • PhD or Master's degree required
  • 4+ years deep learning framework experience
  • 2+ years LLM/VLM training and alignment expertise
  • SOTA publication record or industry-defining innovations

Work Rights

Not specified

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