3 days ago
Dublin, IrelandMid Level
Responsibilities
- Build and help productionize machine learning models and pipelines integrated with Workday’s platform systems.
- Apply ML engineering practices covering model development, evaluation, deployment, versioning, and production monitoring.
- Collaborate with distributed-systems engineers to scale ML solutions across Workday’s multi-tenant architecture.
- Contribute to data preparation, model training, deployment support, and production monitoring.
- Work with product management, data engineering, and platform teams on ML-driven automation initiatives.
- Develop and deploy generative AI capabilities and large language model applications.
- Participate in code reviews, knowledge sharing, and technical roadmap activities.
Requirements
- 4+ years of experience in machine learning engineering, applied ML, or a closely related discipline, including exposure to deploying ML models to production.
- Software engineering fundamentals and some experience with distributed or production systems.
- Familiarity with Python, PyTorch or TensorFlow, and basic MLOps practices such as model versioning and monitoring.
- Ability to execute well-defined technical tasks with increasing independence and collaborate with senior engineers.
- Exposure to large-scale, multi-tenant SaaS platforms and cloud infrastructure or data processing systems.
- Interest or coursework/project experience applying ML to enterprise or administrative platform problems.
- Practical experience developing generative AI capabilities and integrating LLMs, preferably with LangChain and agentic architectures.
- Bachelor’s or master’s degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
Benefits
- Flexible work arrangement requiring at least 50% of each quarter in the office or in the field with customers, prospects, or partners.
- Eligibility may include the Workday Bonus Plan or role-specific commission/bonus and annual refresh stock grants.
- Equal opportunity employer with reasonable accommodation support.
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.