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-grade ml systems experience
Deep learning nlp information retrieval expertise
Pytorch or tensorflow framework proficiency
The role involves designing and deploying sophisticated reasoning, planning, and swarm agents that interact seamlessly with enterprise data

Job Summary

  • The role involves designing and deploying sophisticated reasoning, planning, and swarm agents that interact seamlessly with enterprise data.
  • Candidates will drive the optimization of AI agents using exclusive high-integrity enterprise datasets to impact over 31 million users globally.
  • Workday offers a people-first culture balancing high-intensity innovation with flexible work arrangements requiring at least 50% time in-office or field.

Matching Summary

The role involves designing and deploying sophisticated reasoning, planning, and swarm agents that interact seamlessly with enterprise data.

Salary

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

Skills & Requirements

Must-have

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

Nice-to-have

  • DSPy Reinforcement Learning imitation learning techniques
  • Graph neural networks multi-modal models
  • A/B testing Knowledge Graphs Golden Dataset curation
  • Mentoring junior engineers cross-functional leadership
  • Creative problem-solving for global-scale systems
  • Sustainable work-life integration culture fit

Key Requirements

  • 3+ years experience for MLE III level
  • 6+ years experience for Senior MLE level
  • Master's or Ph.D. in quantitative field preferred
  • Peer-reviewed research publications portfolio

Work Rights

Not specified

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