Remote Lead ML Engineer — Anonymization Platform

Workday

Dublin

Hybrid

EUR 116,000 - 174,000

Full time

9 hours ago
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Job summary

Workday is seeking a Principal Machine Learning Engineer for anonymization in Dublin. You will lead the new capability to provide anonymized datasets for research, benchmarking, and evaluation across the AI ecosystem.

You’ll partner with external researchers and internal stakeholders to codify privacy-utility trade-offs and drive platform architecture. You will oversee a team of engineers, own the technical direction, and represent Workday externally while aligning with Product Legal and

Qualifications

  • 10+ years hands-on experience in Machine Learning Engineering, Data Science, or applied research.
  • Privacy-preserving ML expertise in differential privacy, group anonymization, or synthetic data generation.
  • Expert-level Python and ML frameworks (PyTorch or TensorFlow).
  • Experience architecting large-scale data pipelines using Spark or equivalent.

Responsibilities

  • Lead the anonymization capability development, setting architecture and roadmap for production-ready platform.
  • Drive applied privacy research and close linkage-attack gap work.
  • Build and evaluate anonymization models, calibrating privacy vs utility.
  • Lead the anonymization group, establish patterns, and define partner interfaces.

Skills

Machine Learning Engineering
Privacy-preserving ML
Python (PyTorch/TensorFlow)
Data pipelines (Spark)
Technical leadership

Education

Bachelor’s degree in Computer Science, Physics, Mathematics, or related quantitative field

Tools

PyTorch
TensorFlow
Spark

Job description

Workday is seeking a Principal Machine Learning Engineer for anonymization in Dublin. You will lead the new capability to provide anonymized datasets for research, benchmarking, and evaluation across the AI ecosystem.

You’ll partner with external researchers and internal stakeholders to codify privacy-utility trade-offs and drive platform architecture. You will oversee a team of engineers, own the technical direction, and represent Workday externally while aligning with Product Legal and

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