Sr Machine Learning Engineer - Sana

Workday

**
Ai agent infrastructure
Multi-step planning and orchestration
Code generation agents
** Workday is seeking a Senior Machine Learning Engineer for their AI lab, Sana, to build core infrastructure for AI agents that enhance workplace efficiency. The role involves architecting agent capabilities, collaborating on complex systems, and ensuring robust performance across enterprise environments. **

Job Summary

  • You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work.
  • This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments.
  • We build on a simple modern stack optimized for both humans and AI, using TypeScript, Kotlin, Node.js, React, Postgres, Redis on GCP/Kubernetes/Terraform.

Matching Summary

Match Score: 75

** Workday is seeking a Senior Machine Learning Engineer for their AI lab, Sana, to build core infrastructure for AI agents that enhance workplace efficiency. The role involves architecting agent capabilities, collaborating on complex systems, and ensuring robust performance across enterprise environments. **

Skills & Requirements

Must-have

  • AI agent infrastructure
  • multi-step planning and orchestration
  • code generation agents
  • sandboxed code execution
  • memory and state management
  • context packing and grounding
  • latency, quality, and cost controls

Nice-to-have

  • sun-drenched optimism and drive
  • curious minds and courageous collaborators
  • deep technical excellence
  • rapid iteration

Key Requirements

  • Enterprise-ready agent architectures
  • Measurable quality improvements
  • Continuous improvement in agent capabilities

Work Rights

Not specified

Tailored Resume

Cover Letter