Machine Learning Engineer

in Dublin Ireland. Job Description\n 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. \n About the Team Danu is part of Workday’s AI Centre of Excellence in Dublin, operating within the AI Platform organization to support a customer base of 60 million users.

Danu’s charge is AI privacy — researching and translating sophisticated challenges in human-AI partnership, ML model performance, Explainable AI (XAI), and Responsible AI into production capabilities, with a specific focus on anonymization. Our de-identification engine, ogham — named for Ireland's earliest alphabet — already detects PII at industry-leading recall and efficiency at enterprise scale.

We are now extending our privacy engineering capabilities to build the next chapter: a dedicated anonymization capability that will allow Workday and its customers to set new industry-leading privacy standards. \n

About the Role As a Machine Learning Engineer on Danu, you will build and tune the machine learning models and data pipelines behind ogham, our de-identification engine, detecting and redacting sensitive data across Workday’s AI systems.

\n Your First Six Months You will focus on building out our anonymization capability — implementing and evaluating differential privacy and group anonymization techniques such as k-anonymity, l-diversity, and t-closeness against real research use cases, and establishing the evaluation approach that the broader platform capability will be built on.

Key

\n Cross‑Functional Collaboration: Partner with platform, infrastructure, and product engineering teams to translate

requirements into reliable, scalable ML systems, and collaborate alongside legal and compliance stakeholders to implement data governance frameworks.\n Technical Communication: Act as a point of contact for cross‑team questions about de‑identification behavior, communicating results and architectural decisions clearly in writing for technical, legal, and customer‑facing audiences.\n About YouBasic

Qualifications\n \n Experience: 5+ years of hands‑on experience in Machine Learning Engineering or Data Science (or equivalent research experience via a Ph. \n Other

\n Workday Pay Transparency Statement (For EU Locations Only)\n Listed below is the base salary range applicable to this position. Workday pay ranges (and the precise pay offered to the successful candidate) are based on a number of objective criteria such as relevant experience and skills, and educational

qualifications, level of responsibility, demands of the role, work location and business need. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role‑specific commission/bonus, as well as annual refresh stock grants awarded by Workday Inc. For more information regarding Workday’s comprehensive

\n Primary Location Base Pay Range: €80,000 EUR - €120,000 EUR IrelandOur Approach to Flexible Work\n 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.

\n Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. \n Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

\n Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. \n Are you being referred to one of our roles? \n Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

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