AfterQuery
Machine Learning Engineer, Data Privacy & Anonymization
$260K–$290K
San Francisco · On-site · Full-time · Posted Jul 11, 2026
- Experience
- 3–6 years of relevant experience.
About the job
Build production systems that detect and anonymize sensitive information in customer data while preserving its usefulness for AI training.
What you'll do
- Build detection models for PII, PHI, and quasi-identifiers across text, logs, structured data, and code; develop transformations such as redaction, masking, and tokenization.
- Build low-latency runtime infrastructure and evaluation systems, including re-identification testing.
- Set configurable anonymization policies and take systems from design through production deployment.
What they ask for
- 3–6 years of relevant experience.
- Strong software engineering background and experience shipping production systems.
- Experience building production-scale data pipelines handling large data volumes.
- Applied NLP experience and experience with low-latency inference services.
Nice to have
- Experience with HIPAA Safe Harbor or Expert Determination, GDPR pseudonymization, differential privacy, k-anonymity, synthetic data, or tokenization vaults.
- Prior health-tech or fintech privacy work.
Pay
$260K – $290K USD base salary
Tools
NER
AI focus
Build NLP detection models and anonymization infrastructure for sensitive data used in foundation model training.
Model-written summary · the original posting is authoritative