Machine Learning Engineer Iii / Senior Machine Learning Engineer - Ai Platform

Workday

Toronto, Ontario, Canada
Base: $156,000 cad - $234,000 cad (can.on.toronto)...
On-site
Deep learning, nlp, information retrieval, recommender systems
Generative ai and llm-powered products
Agentic frameworks (e.g., langchain/langgraph)
We are building the critical infrastructure that empowers over 65% of the Fortune 500, acting as the optimization and 'Ground Truth' engine for Workday’s AI transformation

Job Summary

  • We are building the critical infrastructure that empowers over 65% of the Fortune 500, acting as the optimization and 'Ground Truth' engine for Workday’s AI transformation.
  • Your work will act as the optimizer and gatekeeper of quality for products reaching 31 million users globally, solving unique challenges in Agentic AI using exclusive, high-integrity enterprise datasets.
  • We are seeking pragmatic ML and Senior ML Engineers to drive the applied research, deployment, and optimization of our Agentic AI, Search, and Semantic Parsing products, embedding cutting-edge agents directly into the Workday ecosystem.

Matching Summary

We are building the critical infrastructure that empowers over 65% of the Fortune 500, acting as the optimization and 'Ground Truth' engine for Workday’s AI transformation.

Salary

Base: $156,000 CAD - $234,000 CAD (CAN.ON.Toronto); $163,000 USD - $288,000 USD (US Locations); $171,600 - $257,400 USD (Colorado); Not specified

Skills & Requirements

Must-have

  • Deep learning, NLP, Information Retrieval, recommender systems
  • Generative AI and LLM-powered products
  • Agentic frameworks (e.g., LangChain/LangGraph)
  • Expert-level Python for scalable system architecture
  • Cloud-based pipelines (Kubeflow) and A/B testing

Nice-to-have

  • Sustainable work-life integration
  • Curious minds and courageous collaborators
  • Sun-drenched optimism and drive
  • High-integrity enterprise datasets
  • Cross-functional collaboration with PMs and Engineers

Key Requirements

  • 3+ years of ML systems experience (MLE III)
  • 6+ years of ML systems experience (Senior MLE)
  • 0.5+ years of Generative AI/LLM experience (MLE III)
  • 1+ years of Generative AI/LLM experience (Senior MLE)
  • Advanced degree (Master’s or Ph.D.) or research publications
  • Proficiency in PySpark, SQL, Docker, K8s, AWS/GCP

Work Rights

Not specified

Tailored Resume

Cover Letter