Principal Machine Learning Engineer
Core
Lead the development of a dedicated anonymization capability for a global AI platform, enabling customer-accessible research, benchmarking, and synthetic data generation while ensuring privacy at scale.
Role type
Principal Machine Learning Engineer (Privacy & Anonymization)
Builds
An anonymization platform for research, benchmarking, and synthetic data generation
Domain
AI Platform / Privacy Engineering / Data Governance
Deliverable
production ML models
Required skills
Machine Learning Engineering, Privacy-preserving ML (Differential Privacy, Group Anonymization, Synthetic Data), Python, PyTorch/TensorFlow, Large-scale Data Pipelines (Spark), Technical Leadership, Adversarial Evaluation
Preferred skills
NLP (Transformers, LLM fine-tuning), Cloud Production (AWS), GenAI & Agent Systems, Responsible AI & Compliance, External Partner Management
Technologies
PyTorch, TensorFlow, Spark, AWS, LangGraph, LangSmith
Responsibilities
Own technical vision, architecture, and roadmap for anonymization; lead applied research on privacy techniques; build and evaluate anonymization models; drive the engineering group and set architectural standards; collaborate with legal, compliance, and external partners; represent Workday externally in privacy standards.
Seniority
Principal, hands-on IC with strategic leadership