Senior Machine Learning Engineer – AI Platform

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About the role

  • ML Engineer designing and deploying innovative AI products for Workday's ecosystem. Collaborating on cutting-edge solutions for optimization and semantic retrieval.

Responsibilities

  • Design and deploy sophisticated reasoning and swarm agents
  • Develop algorithms for automated node-level optimization
  • Build hybrid agentic search systems
  • Engineer cloud-based pipelines and A/B testing frameworks
  • Own the end-to-end MLOps process
  • Identify ML opportunities and propose solutions

Requirements

  • 3+ years of experience researching, developing and deploying production-grade ML systems
  • Expertise in deep learning, NLP, Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow
  • Proven track record of building and evaluating LLM-powered products
  • Expertise in RAG architectures, agentic frameworks, and long-context LLM applications
  • Expert-level Python skills
  • Hands-on experience with the full ML lifecycle including model fine-tuning and cloud-native deployment

Benefits

  • Workday Bonus Plan
  • Annual refresh stock grants

Job title

Job type

Full Time

Experience level

Senior

Salary

CA$156,000 - CA$234,000 per year

Degree requirement

Postgraduate Degree

Tech skills

CloudNode.jsPythonPyTorchTensorflow

Location requirements

HybridTorontoCanada

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