Research Engineer, Privacy and Anonymization (Singapore Time)
Pragmatike3 days ago
Remote, Indonesia +10 moreMid Level
Responsibilities
- Build systems to detect PII, quasi-identifiers, credentials, and other sensitive information and design appropriate transformations.
- Develop and benchmark rule-based, statistical, classifier-based, and LLM-based detection approaches.
- Build production anonymization pipelines before downstream processing, training, evaluation, or synthetic data generation.
- Create evaluation frameworks for privacy risk and retained data utility, including recall-weighted metrics, leakage tests, and adversarial re-identification attempts.
- Design systems robust to new data sources, schema drift, unusual formats, and sensitive information in unexpected fields.
- Translate privacy requirements into practical technical policies and safeguards with engineering, research, operations, and customer teams.
Requirements
- Strong proficiency in Python and experience building reliable production data or machine-learning systems.
- Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content.
- Ability to compare approaches across recall, precision, latency, cost, and downstream data utility.
- Understanding of redaction, masking, pseudonymization, anonymization, and synthetic data and when to use each.
- Ability to reason about subtle leakage paths, edge cases, and adversarial failure modes.
- Experience building end-to-end data-processing pipelines without a fully prescribed roadmap.
- Clear written and spoken English and comfort collaborating across teams and time zones.
- Preferred experience includes differential privacy, k-anonymity, secure aggregation, format-preserving encryption, sensitive data in healthcare, finance, or security, low-latency or high-throughput ML inference or data-processing systems, and taking research through production.
Benefits
- Full-time role starting ASAP.
- On-site work is available in San Francisco or Singapore, with remote work available from Singapore or US Pacific time zones.
- Remote candidates should overlap approximately 70–80% with San Francisco or Singapore business hours; the daily schedule will be agreed during hiring.
- Opportunity to build privacy systems enabling sensitive data to be used safely for AI training.
- Equal opportunity employer committed to an inclusive hiring process.
Tech Stack
Categories
About Pragmatike
Pragmatike is a Paris-based IT services and recruiting firm connecting remote-first companies with software engineers and tech specialists worldwide. Founded in 2022, it places contractors or full-time hires and staffs teams to complete projects for startups and scaleups. The private partnership offers access to a large network of 50,000+ specialists across 60+ countries.