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

Workday

Toronto, Ontario, Canada
Base: $156,000 cad - $234,000 cad (toronto); base:...
Hybrid
3+ years production ml system experience
Deep learning nlp information retrieval expertise
Pytorch or tensorflow framework proficiency
This role involves architecting sophisticated reasoning, planning, and swarm agents that interact seamlessly with enterprise data to support continuous lifelong learning

Job Summary

  • This role involves architecting sophisticated reasoning, planning, and swarm agents that interact seamlessly with enterprise data to support continuous lifelong learning.
  • The team serves as the Optimization and Ground Truth engine for Workday's AI transformation, empowering over 65% of the Fortune 500.
  • Candidates will drive the end-to-end MLOps process from exploration and prompt engineering to scalable production deployment ensuring high-quality reliable performance.

Matching Summary

This role involves architecting sophisticated reasoning, planning, and swarm agents that interact seamlessly with enterprise data to support continuous lifelong learning.

Salary

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

Skills & Requirements

Must-have

  • 3+ years production ML system experience
  • Deep learning NLP Information Retrieval expertise
  • PyTorch or TensorFlow framework proficiency
  • RAG architectures and agentic frameworks
  • Text-to-SQL and long-context LLM applications
  • Expert-level Python asynchronous patterns
  • Cloud-native deployment Docker K8s AWS GCP

Nice-to-have

  • DSPy Reinforcement Learning imitation learning
  • Graph neural networks multi-modal models
  • Knowledge Graphs Golden Dataset curation
  • Cross-functional team leadership and mentoring
  • Sustainable work-life integration culture
  • Creative problem-solving for global scale
  • Peer-reviewed research publications portfolio

Key Requirements

  • Master's or Ph.D. in quantitative field
  • 3+ years deep technical ML capability
  • 6+ years deep technical ML leadership
  • 0.5+ years Generative AI Agentic Systems
  • 1+ years Generative AI Agentic Systems (Senior)
  • Advanced degree or strong research portfolio

Work Rights

Not specified

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