Principal Machine Learning Engineer (Anonymization)

Location: Dublin, Ireland; hybrid Flex Work with at least 50% of each quarter spent in the office or in the field

Salary: €116,000–€174,000 EUR annual base salary, with potential bonus or commission and annual refresh stock grants.

Company

hirify.global is a Fortune 500 company providing an AI platform for managing people, money, and agents.

What you will do

• Own the technical vision, architecture, and roadmap for hirify.global’s anonymization platform.
• Build capabilities for anonymized datasets supporting customer-accessible research, benchmarking, synthetic data generation, and agent evaluation.
• Lead applied privacy research across differential privacy, group anonymization, synthetic data generation, and emerging techniques.
• Build and evaluate anonymization models, calibrating privacy parameters against utility and running adversarial evaluations.
• Lead the anonymization engineering group through technical planning, design reviews, code reviews, and architecture standards.
• Partner with Product Legal, compliance, product, executives, external researchers, and the wider research community.

Requirements

• 10+ years of hands-on experience in machine learning engineering, data science, or applied research, including enterprise production deployment.
• Demonstrable expertise in privacy-preserving machine learning, differential privacy, group anonymization, or synthetic data generation.
• Expert-level Python and experience with modern machine learning frameworks such as PyTorch or TensorFlow.
• Experience architecting and operating large-scale data pipelines with Spark or equivalent distributed frameworks.
• Technical leadership experience, including setting architecture standards and mentoring mid-level and senior engineers.
• Bachelor’s degree in computer science, physics, mathematics, or a related quantitative field, or equivalent practical experience.

Nice to have

• Experience with classification, NER, transformer architectures, Hugging Face, GPU inference optimization, or LLM fine-tuning.
• Master’s or Ph.D. in computer science, machine learning, statistics, or a related quantitative discipline.
• Experience deploying and scaling machine learning systems on AWS or an equivalent cloud platform.
• Experience with agent systems, LLM evaluation frameworks, Responsible AI, GDPR, or external research partnerships.
• Research publications, patents, open-source contributions, or conference work in privacy-preserving machine learning.

Culture & Benefits

• Flexible hybrid work combining office, field, and remote scheduling.
• At least 50% of each quarter is spent in the office or in the field, depending on the role.
• Potential eligibility for the hirify.global Bonus Plan or role-specific bonus and annual refresh stock grants.
• Reasonable accommodations are available during the application and employment process.
• Equal opportunity employment with support for a diverse and inclusive workplace.