Hybrid Algorithms Engineer

Posted 4 weeks ago

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About the role

  • Design, implement and evaluate privacy-preserving algorithms.
  • Implement and integrate various differential privacy mechanisms.
  • Calibrate and apply noise mechanisms (Gaussian, Laplace) based on rigorous sensitivity analysis.
  • Use Python AST manipulation and static analysis to enforce a DP-safe execution environment, ensuring user-submitted code cannot leak private information.
  • Privacy Accounting & Mechanisms: Analyse and implement privacy accounting and mechanisms.
  • DP Synthetic Data: Implement and benchmark state-of-the-art algorithms for high-dimensional synthetic data generation.
  • Collaborate with cross-functional teams to design, develop, and deploy privacy-preserving systems.

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.
  • Excellent knowledge of compiler engineering, ideally having built a simple compiler in the past.
  • Experience with data structures and ASTs.
  • **Desirable**
  • Experience in designing and implementing privacy-preserving algorithms
  • 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
  • Paid Time Off
  • Work From Home, with one required in-office anchor week every six weeks for deep collaboration and planning
  • Training & Development

Job title

Algorithms Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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