Privacy & Anonymization Research Engineer

Pragmatike; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Pragmatike is seeking a Research Engineer, Privacy and Anonymization to build systems that detect and redact sensitive data before it enters AI training pipelines.

You will own end-to-end privacy tooling—from detection to production—ensuring data utility while protecting privacy. Remote candidates are welcome if hours align with SF or Singapore time; on-site options are in San Francisco or Singapore.

Qualifications

• Fluency in Python and production data or ML systems.
• Experience with information extraction or NER.
• Strong on recall, precision, latency, and cost trade-offs.
• Understanding redaction, masking, pseudonymization, anonymization.
• High attention to detail and robustness to leakage.
• End-to-end data-processing pipeline experience.
• Clear written and spoken English; cross-time-zone collaboration.
• Hands-on privacy tech experience (differential privacy, k-anonymity, etc.) is a plus.

Responsibilities

• Build systems to detect PII and sensitive info and design transformations.
• Develop and benchmark detection approaches using rules, models, classifiers, and LLMs.
• Build pipelines that anonymize data before downstream processing.
• Create evaluation frameworks for privacy risk and data utility.
• Design robust systems for new data sources and schemas.
• Collaborate across teams to translate privacy requirements into policies.

Skills

Python

Production systems

Information extraction

Experimentation

Privacy concepts

Data pipelines

English communication

LLM methods

Differential privacy

Job description

Pragmatike is seeking a Research Engineer, Privacy and Anonymization to build systems that detect and redact sensitive data before it enters AI training pipelines.

You will own end-to-end privacy tooling—from detection to production—ensuring data utility while protecting privacy. Remote candidates are welcome if hours align with SF or Singapore time; on-site options are in San Francisco or Singapore.