Differential Privacy Algorithms Engineer

Oblivious; Dublin; On-site; EUR 60,000 - 80,000; Full time

Job summary

A privacy-focused tech start-up in Dublin is looking for an Algorithms Engineer to develop core components for differential privacy systems. You will design and implement solutions like a Python runtime and SQL engine, translating mathematical theory into production-ready code. Strong foundations in probability, statistics, and proficiency in Python are necessary. This role includes working on privacy accounting methods, ensuring DP-safe execution environments, and benchmarking state-of-the-art algorithms for synthetic data generation. The position offers private health insurance, paid time off, and training opportunities.

Benefits

Private health insurance

Pension plan

Paid time off

Training & development

Qualifications

• Comfortable with statistical modelling, proving bounds, and reasoning about error/variance.
• Ability to translate mathematical concepts from academic papers into robust code.

Responsibilities

• Implement and analyze privacy loss accountants and calibrate noise mechanisms.
• Develop algorithms for static and dynamic sensitivity analysis.
• Use Python AST manipulation for a DP-safe execution environment.
• Implement algorithms for high-dimensional synthetic data generation.

Skills

Strong foundation in probability, statistics, and linear algebra

Proficiency in Python for scientific computing

Ability to translate mathematical concepts into code

Tools

OpenDP

TensorFlow Privacy

SQL

Job description

A privacy-focused tech start-up in Dublin is looking for an Algorithms Engineer to develop core components for differential privacy systems. You will design and implement solutions like a Python runtime and SQL engine, translating mathematical theory into production-ready code. Strong foundations in probability, statistics, and proficiency in Python are necessary. This role includes working on privacy accounting methods, ensuring DP-safe execution environments, and benchmarking state-of-the-art algorithms for synthetic data generation. The position offers private health insurance, paid time off, and training opportunities.