Multi Skilled Engineer at Wavin responsible for maintenance and improvement activities in a manufacturing environment. Collaborating with the engineering team to enhance machine availability and safety standards.
About the role
- Algorithms Engineer designing core components of differential privacy systems for Oblivious. Translating mathematical theory into production-ready code and solving privacy challenges.
Responsibilities
- Privacy Accounting & Mechanisms: Implement and analyse privacy loss accountants (RDP, zCDP) and their conversions to (ϵ, δ)-DP. Calibrate and apply noise mechanisms (Gaussian, Laplace) based on rigorous sensitivity analysis.
- Differentially Private SQL Engine: Develop algorithms for static and dynamic sensitivity analysis of relational operators. Build query rewriting logic to inject calibrated noise and manage a per-user privacy budget ledger.
- Compiler & Static Analysis: Use Python AST manipulation and static analysis to enforce a DP-safe execution environment, ensuring user-submitted code cannot leak private information.
- DP Synthetic Data: Implement and benchmark state-of-the-art algorithms (e.g., MWEM, PGM, PrivBayes variants) for high-dimensional synthetic data generation, analysing their privacy-utility trade-offs.
Requirements
- Strong foundation in probability, statistics, and linear algebra. You must be comfortable with statistical modelling, proving bounds, and reasoning about error/variance.
- Proficiency in Python for scientific computing, including numerical stability considerations (e.g., floating-point precision, clipping, scaling).
- Demonstrated ability to translate mathematical concepts from academic papers or technical specifications into robust, well-tested code.
- **Desirable**
- Direct experience with differential privacy concepts or libraries (OpenDP, SmartNoise, TensorFlow Privacy).
- Knowledge of compiler design, abstract syntax trees (ASTs), or program analysis.
- Experience with machine learning, particularly with noise models, statistical learning theory, or generative models.
- Familiarity with SQL parsers or database internals.
Benefits
- Private health insurance and pension plan
- Paid time off
- Training & development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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