Workday
AI

Senior Machine Learning Engineer

Workday · Dublin, D, IE

Actively hiring Posted 3 days ago

Role overview

Your technical contributions and team-first mindset will play a key role in delivering high-impact products that utilize AI to reduce the cost of implementing Workday globally.

*About You

Basic Qualifications**

  • 8+ years of experience in software engineering
  • Expert level proficiency in Python
  • Experience in LangGraph, LangChain, and LangSmith
  • Proficiency in at least one other statically-typed language such as Java, Scala, Rust, or C++
  • Demonstrated, hands-on experience building applications with Large Language Models

What we're looking for

  • Experience implementing agentic design patterns where an LLM uses tools to interact with its environment
  • Experience developing and deploying applications on a major cloud platform (AWS, GCP, or Azure).
  • Experience architecting complex, event-driven systems capable of handling asynchronous tasks.
  • Proven success working within fast-paced, agile environments and cross-functional teams
  • Strong communication skills, with the ability to collaborate with both technical and non-technical partners
  • Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions
  • Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement
  • Good understanding of Software Development principles and experience in deploying and scaling machine learning models in production environments.
  • Strong Team Collaboration skills and the ability to mentor and guide other team members.

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email

accommodations@workday.com

.

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Tags & focus areas

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Fulltime Remote Ai Machine Learning