7 days ago
Vancouver, CanadaStaff+
Responsibilities
- Design and build the core ML systems behind Workday’s next generation of AI agents.
- Own the full lifecycle of ML and agent systems, including problem framing, data strategy, implementation, deployment, monitoring, production evaluation, and continuous improvement.
- Develop frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops.
- Ensure AI solutions are scalable, observable, explainable, reliable, and enterprise-ready.
- Partner with software engineers, product managers, and data scientists to integrate agents into the Workday platform.
- Stay current with agentic architectures and emerging AI techniques and apply them to production systems.
- Lead, mentor, and/or manage ML engineering teams and own development lifecycle and sprint planning.
Requirements
- 10+ years of experience building applied machine learning products at scale across research, design, implementation, production, and production-based evaluation.
- 4+ years of professional experience with machine learning and deep learning frameworks and toolkits such as PyTorch and TensorFlow.
- 6+ years of experience building services that host machine learning models in production at scale.
- 3+ years of experience with large language models, text-generation models, and/or graph neural network models for real-world use cases.
- 6+ years of experience with cloud computing platforms such as AWS and GCP.
- Bachelor’s degree in engineering, computer science, physics, mathematics, or an equivalent qualification; a Master’s or PhD is preferred.
- Proven experience leading, mentoring, and/or managing ML engineering teams and fostering collaboration, transparency, innovation, and continuous improvement.
- Deep understanding of statistical analysis, supervised and unsupervised machine learning, and natural language processing for information retrieval and/or recommendation systems.
- Experience independently solving ambiguous, open-ended problems and technically leading teams.
- Excellent interpersonal and communication skills for building relationships across teams and stakeholders.
Benefits
- Primary location is Vancouver, British Columbia, Canada.
- Base pay range is CAD 188,000–282,000 annually, excluding compensation figures from benefits details.
- May be eligible for the Workday Bonus Plan or role-specific commission/bonus and annual refresh stock grants.
- Flexible work model requiring at least 50% of each quarter in the office or in the field with customers, prospects, and partners.
- Workday provides comprehensive benefits and reasonable accommodations.
Tech Stack
Categories
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.