Base: $156,000 - $234,000 cad; bonus/equity: may b...
Fully remote
Designing, building, and deploying agentic systems
End-to-end machine learning pipeline (mlops)
Large-scale datasets for data wrangling
As a Senior Machine Learning Engineer on the AI Core team, you will be primarily responsible for designing, building, and applying machine learning models and agentic systems that power AI-driven applications at Workday
Job Summary
As a Senior Machine Learning Engineer on the AI Core team, you will be primarily responsible for designing, building, and applying machine learning models and agentic systems that power AI-driven applications at Workday.
The AI Core team, part of Workday’s AI Platform organization, tackles challenging problems at the intersection of machine learning, agentic reasoning, and enterprise-scale systems.
In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul.
Matching Summary
As a Senior Machine Learning Engineer on the AI Core team, you will be primarily responsible for designing, building, and applying machine learning models and agentic systems that power AI-driven applications at Workday.
Salary
Base: $156,000 - $234,000 CAD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, annual refresh stock grants; Benefits: Comprehensive benefits
Skills & Requirements
Must-have
designing, building, and deploying agentic systems
end-to-end machine learning pipeline (MLOps)
large-scale datasets for data wrangling
machine learning and distributed systems principles
production-grade Python code
containerized workloads and orchestration systems
Nice-to-have
sun-drenched optimism and drive
courageous collaborators
curious minds
genuine care
bold ideas
Key Requirements
8+ years of professional Machine Learning / AI engineering experience
5+ years of experience with advanced Python development
Bachelor’s degree in Computer Science, Machine Learning, or related discipline, or equivalent practical experience