Sr Machine Learning Engineer

Workday

Hybrid (50% in-office time required quarterly)
Multi-step planning and orchestration architecture
Context, tool, and prompt engineering expertise
Sandboxed code execution implementation
Workday is seeking a Senior Machine Learning Engineer to join its AI lab, Sana, focusing on building intelligent systems that enhance workplace efficiency. The role emphasizes architecting agent infrastructure that addresses real-world complexities, offering a dynamic, collaborative, and innovative work environment

Job Summary

  • You will build the core agent infrastructure that powers Sana's mission to bring superintelligence to work.
  • The role involves architecting multi-step planning, orchestration, and tool routing for agents within enterprise environments.
  • Workday is a Fortune 500 company committed to building AI that augments people rather than replacing them.

Matching Summary

Match Score: 85

Workday is seeking a Senior Machine Learning Engineer to join its AI lab, Sana, focusing on building intelligent systems that enhance workplace efficiency. The role emphasizes architecting agent infrastructure that addresses real-world complexities, offering a dynamic, collaborative, and innovative work environment.

Skills & Requirements

Must-have

  • Multi-step planning and orchestration architecture
  • Context, tool, and prompt engineering expertise
  • Sandboxed code execution implementation
  • Memory and state management strategies
  • Latency, quality, and cost optimization
  • Safety guarantees and error handling

Nice-to-have

  • Experience with Google, Spotify, Apple, or Databricks
  • Product-obsessed team collaboration
  • Rapid iteration and technical excellence
  • Deep technical excellence in AI systems

Key Requirements

  • Senior level experience in ML or AI engineering
  • Proven track record in agent architecture design
  • Expertise in TypeScript, Kotlin, Node.js, or similar stacks

Work Rights

Not specified

Tailored Resume

Cover Letter