What You'll Be Doing

Design, build, and productionize machine learning models and pipelines integrated with Workday's platform systems.
Apply and refine best ML engineering practices including model development, evaluation, deployment, and monitoring.
Partner with distributed-systems engineers to ensure ML solutions scale reliably within a multi-tenant architecture.
Own end-to-end ML lifecycle tasks from problem framing and data strategy to model training, deployment, and performance monitoring.
Collaborate cross-functionally with product management, data engineering, and platform teams to identify opportunities for ML-driven automation and intelligence.
Provide technical guidance and conduct code/design reviews for ML system design and implementation.
Evaluate new tools and frameworks to keep ML practices current and effective.
Contribute to the technical roadmap for ML capabilities within the Adoption team.
Design and deploy Generative AI capabilities and Large Language Model (LLM) applications.

Requirements

Substantial professional experience in machine learning engineering or applied ML with a record of shipping ML systems to production.
Strong software engineering fundamentals with experience building and operating distributed, production-grade systems.
Proficiency with ML frameworks and languages (e.g., Python, PyTorch, TensorFlow) and MLOps practices (model versioning, CI/CD, monitoring).
Ability to work independently, contribute to technical direction, engage in architecture discussions, and drive projects from concept to delivery.
Demonstrated technical leadership and collaboration skills, including mentoring junior and mid-level engineers.
Experience designing and developing Generative AI technologies and LLM integration in production.

7+ years of experience with large-scale, multi-tenant SaaS platforms.
Background applying ML to enterprise/administrative platform problems such as anomaly detection, automation, and intelligent configuration.
Hands-on familiarity with LLM orchestration frameworks (preferably LangChain) and AI agentic architectures.
Experience with cloud infrastructure and large-scale data processing systems.
Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field, or equivalent practical experience.

Competitive base salary range (€96,000 - €144,000 EUR) plus eligibility for bonus plans and stock grants.
Flexible work approach combining remote work with at least 50% in-office or field time each quarter.
Supportive company culture rooted in integrity, empathy, and shared enthusiasm.
Long-term investment in employee growth, skill development, and risk-taking trust.
Commitment to equal opportunity employment and reasonable accommodations for qualified individuals.