4 days ago
Dublin, IrelandStaff+
Responsibilities
- Design, build, and productionize machine learning models and pipelines integrated with Workday platform systems.
- Set technical direction and best practices for model development, evaluation, deployment, versioning, and monitoring.
- Partner with distributed-systems engineers to scale ML solutions across a multi-tenant architecture.
- Lead end-to-end ML lifecycle work from problem framing and data strategy through production monitoring.
- Collaborate with product management, data engineering, and platform teams to identify ML automation opportunities.
- Mentor engineers on ML system design, coding practices, and architecture.
- Evaluate and introduce tools, frameworks, and techniques for effective ML engineering.
- Contribute to the long-term ML roadmap and architecture for the Ampere team and broader organization.
- Lead the architectural design and deployment of generative AI capabilities and LLM applications.
Requirements
- 12+ years of professional experience in machine learning engineering, applied ML, or a closely related discipline, including shipping ML systems to production at scale.
- Strong software engineering fundamentals and experience building and operating distributed, production-grade systems.
- Proficiency with common ML frameworks and languages such as Python, PyTorch, or TensorFlow, plus MLOps practices.
- Experience designing, evaluating, and deploying generative AI models and large language models in enterprise production environments.
- Ability to operate at a principal level by shaping technical direction, partnering on architecture, and guiding projects from concept to delivery.
- Strong collaboration and communication skills, including mentoring engineers and influencing cross-functional stakeholders.
- Experience with large-scale, multi-tenant SaaS platforms and enterprise or administrative platform ML applications.
- Hands-on familiarity with LLM orchestration frameworks, preferably LangChain, and agentic architectures.
- Experience with cloud infrastructure and large-scale data processing systems.
- Advanced degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
Benefits
- Flexible hybrid work requiring at least 50% of each quarter in the office or in the field, with flexibility for remote home-office roles.
- Eligibility may include the Workday Bonus Plan or role-specific commission/bonus and annual refresh stock grants.
- Workday provides equal opportunity employment and reasonable accommodations.
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.