Sr Machine Learning Engineer - Sana

Workday

Hybrid (at least 50% in-office time per quarter)
Agent infrastructure
Ai agent planning
Orchestration and tool routing
Workday is seeking a Sr Machine Learning Engineer for its AI lab, Sana, to develop core infrastructure that enhances AI capabilities within enterprise settings. The role emphasizes building systems that handle complex tasks with a focus on reliability and safety, all while being part of a collaborative and innovative 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: 85

Workday is seeking a Sr Machine Learning Engineer for its AI lab, Sana, to develop core infrastructure that enhances AI capabilities within enterprise settings. The role emphasizes building systems that handle complex tasks with a focus on reliability and safety, all while being part of a collaborative and innovative culture.

Skills & Requirements

Must-have

  • agent infrastructure
  • AI agent planning
  • orchestration and tool routing
  • code generation agents
  • sandboxed code execution
  • memory, state, and context packing
  • latency, quality, and cost controls

Nice-to-have

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

Key Requirements

  • Experience with TypeScript, Kotlin, Node.js
  • Experience with Postgres, Redis
  • Experience with GCP/Kubernetes/Terraform

Work Rights

Not specified

Tailored Resume

Cover Letter