Machine Learning Engineer III​/Senior Machine Learning Engineer - AI Platform

About the Team

The AI Platform team in our Agent Optimisation & Evaluation, and Information Retrieval team builds the critical infrastructure that empowers over 65% of the Fortune 500. The mission is two-fold:
Agent Optimisation & Evaluation and Information Retrieval.

We are looking for creative, results-focused ML Engineers and Senior ML Engineers to help us build the next generation of AI-first products. The role bridges deep research and production, embedding cutting-edge agents directly into the Workday ecosystem.

• Architect Agentic AI: Design and deploy sophisticated reasoning, planning, and swarm agents that interact with enterprise data and support continuous, life-long learning.
• Drive Meta-ML & Optimization: Develop algorithms for automated node-level optimisation within agent graphs, identifying the best LLM and prompt configurations for every workflow step.
• Build recommender systems: Build recommender systems for engineering teams to drive optimal evaluation of their agents.
• Advance Information Retrieval: Build hybrid, agentic search systems and semantic parsing products (Text-to-SQL/Python) utilizing vector search, reasoning, and fine-tuning for structured output.
• Scale Evaluation & Observability: Engineer cloud-based pipelines (Kubeflow) and A/B testing frameworks for rigorous offline/online evaluation, failure attribution, and safety monitoring.
• Lead the ML Lifecycle: Own the end-to-end MLOps process—from exploration and prompt engineering to scalable production deployment—ensuring high-quality, reliable performance.
• Define Strategic Roadmaps: Independently identify ML opportunities, propose high-impact solutions to leadership, and integrate industry best practices across the organization.
• Collaborate with Autonomy: Work cross-functionally with PMs and Engineers to deliver AI-first products, enjoying full ownership of your work within a supportive, growth-oriented culture.

• Basic Qualifications (MLE III)
  3+ years of experience researching, developing and deploying production-grade ML systems, including deep learning, NLP, Information Retrieval, and recommender systems using PyTorch or Tensor Flow.
  0.5+ years of proven track record building and evaluating NLP and LLM-powered products, including RAG architectures, agentic frameworks (e.g., Lang Chain/Lang Graph).
  0.5+ years expert-level Python experience, focus on modular library design, asynchronous patterns, and scalable system architecture for non-deterministic AI outputs.
• Basic Qualifications (Senior MLE)
  6+ years of experience researching, developing and deploying production-grade ML systems, including deep learning, NLP, Information Retrieval, and recommender systems.
  1+ years of proven track record building and evaluating NLP and LLM-powered products, including RAG architectures and agentic frameworks.
  1+ years expert-level Python experience, focus on modular library design, asynchronous patterns, and scalable system architecture.
• Other Qualifications
  Advanced degree (Master’s or Ph.D.) in a quantitative field or strong portfolio of peer-reviewed research publications.
  Proficiency in DSPy, Reinforcement Learning, imitation learning, graph neural networks, multi-modal models, large-scale data processing (PySpark, SQL).
  
  Experience with A/B testing, Knowledge Graphs, and “Golden Dataset” curation for model benchmarking.
  Hands‑on experience with the full ML lifecycle, including model fine-tuning (PEFT), evaluation frameworks (Deep Eval/RAGAS), and cloud-native deployment (Docker/K8s, AWS/GCP).
  Demonstrated ability to lead cross‑functional teams, mentor junior engineers, and solve ambiguous problems with high autonomy.

Base salary range: $171,600 CAD – $257,400 CAD (Vancouver). Additional US locations: $163,000 USD – $288,000 USD. Pay range may vary based on geography, experience, and job duties.

Workday is an Equal Opportunity Employer inclusive of individuals with disabilities and protected veterans. We consider qualified applicants with arrest and conviction records. For assistance or accommodations, email