Senior Machine Learning Engineer

We're seeking a Senior Machine Learning Engineer to join our Adoption Team, which develops intelligent agents and capabilities that enable customers to manage Workday efficiently and maximize their overall experience. As a senior individual contributor, you will bring strong applied ML expertise to a high-performing team of distributed-systems engineers, contributing to technical strategy and automation across Workday's administration platform.

Key Responsibilities:

• Design, build, and productionize machine learning models and pipelines that integrate with Workday's platform-level systems.
• Apply and help refine best practices for ML engineering within the team, including model development, evaluation, deployment, and monitoring.
• Partner with distributed-systems engineers to ensure ML solutions scale reliably across Workday's multi-tenant architecture.
• Own significant pieces of end-to-end ML lifecycle work , from problem framing and data strategy through model training, deployment, and performance monitoring in production.
• Collaborate cross-functionally with product management, data engineering, and platform teams to identify opportunities for ML-driven automation and intelligence.
• Provide technical guidance and code/design review to other engineers on ML system design and implementation.
• Evaluate new tools, frameworks, and techniques to help keep the team's 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, applied ML, or a closely related discipline, with a track record of shipping ML systems to production.
• Strong software engineering fundamentals, including experience building and operating distributed, production-grade systems.
• Proficiency with common ML frameworks and languages (e.g., Python, PyTorch/TensorFlow) and with MLOps practices (model versioning, CI/CD for ML, monitoring).
• Ability to work with a good degree of independence , contributing to technical direction, participating in architecture discussions, and driving projects from concept to delivery.
• Demonstrated technical leadership and collaboration skills through experience with cross-team initiatives, establishing technical standards, and mentoring junior and mid-level engineers.
• Demonstrated experience designing and developing with Generative AI technologies and LLM integration in production systems.

Salary: €96,000 EUR - €144,000 EUR

Work Environment: We offer a flexible work environment, with the expectation that you spend at least half (50%) of your time each quarter in the office or in the field with our customers, prospects, and partners.