The role involves architecting and building scalable machine learning models and AI systems that directly impact Workday's core enterprise applications
Job Summary
The role involves architecting and building scalable machine learning models and AI systems that directly impact Workday's core enterprise applications.
Candidates will take full ownership of the ML lifecycle from data extraction to continuous monitoring in a high-scale production environment.
Workday offers a flexible work approach requiring at least half of the time each quarter to be spent in the office or with customers.
Matching Summary
The role involves architecting and building scalable machine learning models and AI systems that directly impact Workday's core enterprise applications.
Salary
Base: $156,000 - $234,000 CAD; Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package available
Skills & Requirements
Must-have
7+ years software engineering experience
Expert Python programming skills
PyTorch TensorFlow Scikit-learn Hugging Face
Production deployment of ML models
AWS or GCP cloud infrastructure
Docker Kubernetes containerization
Nice-to-have
Mentorship of junior engineers
Collaboration with cross-functional teams
Championing Responsible AI practices
Experience with LLM-powered agents
Curious and courageous mindset
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
7+ years industry experience in applied machine learning
Proven track record of deploying models to production