Machine Learning Engineer

Location

Lebel‑sur‑Quévillon

About

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it.

Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun‑drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back.

In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

The Team

This is a very exciting opening in the AI Platform team. We believe if you do what you love, you’ll love what you do. There’s a lot to love are part of a global, high‑growth technology company and our team has the opportunity to develop the next generation of Workday’s groundbreaking collaborative products supporting a customer base of more than 31 million strong.

Over 65 % of the Fortune 500 are Workday customers.

The AI Platform Information Retrieval team is at the heart of Workday’s intelligence layer. We don’t just find documents; we bridge the gap between human language, search, and enterprise data, including reasoning over knowledge. Our products utilize advanced semantic search to navigate Workday’s massive data model, turning natural language questions into precise SQL and Python executions. You’ll work in a high‑growth environment where LLMs meet structured enterprise systems, building the agents that make “Natural Language as a UI” a reality. Workday’s AI Platform organization is bringing “AI first” products to life at every step of the Workday product offering.

We’re looking for highly creative, results‑focused, and deeply skilled machine learning engineers/scientists to work with us on a range of these challenges.

Why Workday?

• The Data: Work with exclusive, high‑integrity enterprise datasets that most researchers never see.
• The Scale: Your code will empower the world’s largest companies to make data‑driven decisions.
• The Culture: A “people‑first” environment that balances high‑intensity innovation with sustainable work‑life integration.

The Role

We are looking for a highly skilled and pragmatic Machine Learning Engineer to work with us on the applied research, development, deployment, and optimization of advanced ML systems, Search, Information Retrieval (IR) and Semantic Parsing products. You will be a crucial driver in embedding cutting‑edge AI agent technology, directly into Workday products, moving quickly from deep applied research to robust production features.

You will use Workday’s vast computing resources on rich, exclusive datasets to deliver value that transforms the way our customers make decisions and run their businesses. We will challenge you to apply your best creative thinking, analysis, problem‑solving, and technical abilities to make an impact on thousands of enterprises and millions of users. Sound like your kind of challenge?

Responsibilities

• Advanced Information Retrieval: Build and refine hybrid search systems (Vector, Keyword, Agentic, and Multi‑step Reasoning) that navigate Workday’s proprietary data objects with high precision and recall. Apply deep learning techniques to enhance recommender systems, ranking models, and information retrieval systems, driving relevance and personalization across core Workday applications.
• Semantic Parsing & Code Gen: Design and optimize LLM, model and agent based products for Text‑to‑SQL and Text‑to‑Python, focusing on schema grounding, few‑shot prompting, and…