Privacy & Security ML Research Engineer

Meramia Technologies LTD; Time; On-site; NOK 900,000 - 1,100,000; Full time

Job summary

Meramia Technologies LTD seeks a privacy-focused ML engineer to turn research成果 into production code for privacy guarantees inside the training and inference stacks.

You will prototype DP, secure aggregation, and federated learning; build evaluation suites; work with cross-functional teams to embed regulations as guardrails in code and trade privacy for utility with measurable guarantees.

Qualifications

• Experience turning privacy research into production code.
• Ability to explain a mathematical privacy guarantee to technical and non-technical stakeholders.
• Track record of building evaluation suites for ML privacy and security.

Responsibilities

• Prototype and land privacy-enhancing algorithms on training and inference stacks.
• Red-team models for membership inference, inversion, and training-data memorisation; document failures.
• Build evaluation suites and diagnostic libraries for ML engineers.
• Collaborate with research, platform, security, legal, and product to embed guardrails into code.
• Investigate privacy-utility trade-offs across capability, latency and cost.

Skills

DP/Privacy algorithms

PyTorch or JAX

Research-grade Python

Differential privacy DP-SGD

Security testing / leakage

Explainability to engineers & policy

Tools

DP-SGD

Federated learning

Security testing tools

Job description

Meramia Technologies LTD seeks a privacy-focused ML engineer to turn research成果 into production code for privacy guarantees inside the training and inference stacks.

You will prototype DP, secure aggregation, and federated learning; build evaluation suites; work with cross-functional teams to embed regulations as guardrails in code and trade privacy for utility with measurable guarantees.