As a Machine Learning Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents
Job Summary
As a Machine Learning Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents.
Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale.
Workday offers a flexible work approach combining in-person time and remote work, enabling employees to create schedules that cater to business, team, and personal needs.
Matching Summary
As a Machine Learning Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents.
Salary
Base: $188,000 CAD - $282,000 CAD; Bonus/Equity: Eligible for Workday Bonus Plan and stock grants; Benefits: Comprehensive benefits package
Skills & Requirements
Must-have
Applied machine learning products at scale
Machine learning and deep learning frameworks
Building services to host ML models in production
Experience with large language models
Cloud computing platforms expertise
Leading and mentoring ML engineering teams
Nice-to-have
Curious and courageous collaborator
Strong interpersonal and communication skills
Ability to solve ambiguous open-ended problems
Culture of collaboration and continuous improvement
Hands-on with emerging agentic architectures
Key Requirements
4+ years in applied machine learning product development
2+ years professional experience with ML frameworks like PyTorch or TensorFlow
3+ years building ML hosting services in production
2+ years experience with large language models
3+ years experience with cloud platforms such as AWS or GCP
Proven leadership and mentoring experience in ML teams