Sr Machine Learning Engineer - Sana

Workday

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Agent architecture
Context engineering
Tool engineering
** Workday is seeking a Senior Machine Learning Engineer for their AI lab, Sana, focused on building intelligent systems that enhance workplace productivity. This fully remote position involves creating advanced agent infrastructure to support AI capabilities, emphasizing collaboration and innovation within a supportive company culture. **

Job Summary

  • Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.
  • Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI.
  • In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul.

Matching Summary

Match Score: 75

** Workday is seeking a Senior Machine Learning Engineer for their AI lab, Sana, focused on building intelligent systems that enhance workplace productivity. This fully remote position involves creating advanced agent infrastructure to support AI capabilities, emphasizing collaboration and innovation within a supportive company culture. **

Skills & Requirements

Must-have

  • agent architecture
  • context engineering
  • tool engineering
  • prompt engineering
  • production infrastructure
  • TypeScript
  • Kotlin
  • Node.js
  • Postgres
  • Redis
  • GCP
  • Kubernetes
  • Terraform

Nice-to-have

  • deep technical excellence
  • rapid iteration
  • sun-drenched optimism
  • courageous collaborators
  • empathy
  • shared enthusiasm

Key Requirements

  • Enterprise-ready agent architectures
  • Intelligent agent action at scale
  • Measurable quality and safety improvements
  • Durable building blocks for product teams

Work Rights

Not specified

Tailored Resume

Cover Letter