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

Workday

Toronto, Ontario, Canada
Base: $156,000 - $234,000 cad (toronto); base: $16...
Hybrid
Deep learning and nlp expertise
Rag architectures and agentic frameworks
Text-to-sql and long-context llm applications
The role focuses on building the critical infrastructure that empowers over 65% of the Fortune 500 through Agent Optimization and Information Retrieval

Job Summary

  • The role focuses on building the critical infrastructure that empowers over 65% of the Fortune 500 through Agent Optimization and Information Retrieval.
  • Engineers will architect sophisticated reasoning and planning agents while driving meta-ML optimization to identify the best LLM configurations for workflows.
  • Workday offers a people-first culture balancing high-intensity innovation with sustainable work-life integration and full ownership of AI-first product development.

Matching Summary

The role focuses on building the critical infrastructure that empowers over 65% of the Fortune 500 through Agent Optimization and Information Retrieval.

Salary

Base: $156,000 - $234,000 CAD (Toronto); Base: $163,000 - $288,000 USD (US locations); Bonus/Equity: Eligible for Workday Bonus Plan and stock grants

Skills & Requirements

Must-have

  • Deep learning and NLP expertise
  • RAG architectures and agentic frameworks
  • Text-to-SQL and long-context LLM applications
  • Python modular library design and async patterns
  • Kubeflow and cloud-native MLOps deployment

Nice-to-have

  • DSPy and Reinforcement Learning proficiency
  • Graph neural networks and multi-modal models
  • Cross-functional leadership and mentorship
  • Test-everything mindset with A/B testing
  • Knowledge Graphs and Golden Dataset curation

Key Requirements

  • 3+ years production ML experience for MLE III
  • 6+ years production ML experience for Senior MLE
  • Master's or Ph.D. in quantitative field preferred
  • Expert-level Python experience required

Work Rights

Not specified

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