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Machine Learning Engineer, Data Privacy & Anonymization

AfterQuery· Engineering
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San Francisco$260k - $290kFull-timePosted 3mo ago

About the role

Machine Learning Engineer focused on data privacy and anonymization. Build anonymization layers and infrastructure that detects identifying information in data and transforms it without losing usefulness, enabling safe handling of sensitive customer data and curation of trainable data for frontier AI models.

Responsibilities

  • Build detection models for PII, PHI, and quasi-identifiers across free text, logs, structured payloads, and code
  • Own the transformation layer: redaction, masking, pseudonymization, tokenization, and format-preserving encryption, chosen per entity and policy
  • Ship the runtime adaptor: streaming inference, latency budgets, fail-open vs. fail-closed semantics, schema drift
  • Build evaluation infrastructure with recall-weighted metrics and re-identification attacks against our own output
  • Make anonymization policy a config surface as customer and jurisdiction requirements diverge
  • Own high-impact systems from early design through production deployment

Qualifications

  • 3-6 YOE with relevant experiences
  • Strong software engineering background with experience shipping production systems
  • Experience building data pipelines at production scale, handling large volumes of data
  • Applied NLP: NER, sequence labeling, or information extraction on messy text. Fraud or trust/safety detection work where recall on rare events was the objective also counts
  • Experience with low-latency inference services: streaming pipelines, sidecars, or event systems
  • Ability to move quickly in a high-ownership, fast-changing environment
  • Deep care for quality, precision, and customer impact

Skills

Required:PII/PHI detectionTransformation techniques (redaction, masking, pseudonymization, tokenization, format-preserving encryption)Low-latency inferenceApplied NLP (NER, sequence labeling, information extraction)

Benefits

  • Health Insurance: Medical, Vision, Dental
  • 401(k) with Employer Match
  • Daily Meals: Daily UberEats Stipend
  • Monthly Wellness Stipend
Last updated Sep 30, 2026. Interested? Apply on the company site.
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About AfterQuery

AfterQuery is an applied research lab curating data solutions to accelerate foundation model development.

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