Principal Machine Learning Engineer

We're seeking a Principal Machine Learning Engineer to join our Adoption Team, which develops intelligent agents and capabilities that enable customers to manage Workday efficiently. As a senior individual contributor, you will bring deep applied ML expertise to a high-performing team of distributed-systems engineers, collaborating on 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.
• Set technical direction and best practices for ML engineering within the team.
• Partner with distributed-systems engineers to ensure ML solutions scale reliably across Workday's multi-tenant architecture.
• Lead and collaborate on 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 high-impact opportunities for ML-driven automation and intelligence.
• Mentor and provide technical guidance to other engineers on ML system design, coding practices, and architectural decisions.
• Evaluate and introduce new tools, frameworks, and techniques to keep the team's ML practices current and effective.
• Contribute to the long-term technical roadmap and architecture for ML capabilities within the Ampere team and the broader organization.
• Lead the architectural design and deployment of Generative AI capabilities and Large Language Model (LLM) applications.

Requirements:

• 12+ years of professional experience in machine learning engineering, applied ML, or a closely related discipline.
• 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.
• Ability to work self-directed at a principal level , shaping technical direction, partnering on architecture, and guiding projects from concept to delivery.
• Proven track record of designing, evaluation, and deploying Generative AI models and Large Language Models (LLMs) in enterprise production environments.
• Strong collaboration and communication skills, with experience mentoring engineers and influencing cross-functional stakeholders.

Nice to Have:

• Experience working within large-scale, multi-tenant SaaS platforms.
• Background in applying ML to enterprise/administrative platform problems.
• Hands-on familiarity with LLM orchestration frameworks and AI agentic architectures.
• Experience with cloud infrastructure and large-scale data processing systems.
• Advanced degree (MS/PhD) in Computer Science, Machine Learning, or a related field.

What We Offer:

• Competitive salary: €116,000 - €174,000 EUR.
• Comprehensive benefits package.
• Flexible work arrangements: spend at least half (50%) of your time each quarter in the office or in the field.