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Machine Learning Engineer, Data Privacy & Anonymization

AfterQuerySan FranciscoEngineering
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Salary
$260K - $290K USD
Job type
Full-time
Posted
11 Jul 2026
Status
Open · checked 7d ago

About this role

AfterQuery is hiring a full-time Machine Learning Engineer, Data Privacy & Anonymization in San Francisco to build critical infrastructure that handles sensitive customer data safely. This position suits an experienced engineer with a strong background in natural language processing and production-scale data pipelines.

Role Overview

As a Machine Learning Engineer specializing in Data Privacy and Anonymization, the incoming professional will construct the foundational systems that allow AfterQuery to process confidential customer information securely. The role centers on designing anonymization layers and inline production software infrastructure that spots identifying details in incoming data and safely alters it while keeping the underlying data useful. The selected individual directly supports the company goal of curating trainable data from real-world corpuses for top-tier artificial intelligence labs.

Key Responsibilities

Construct detection models targeting PII, PHI, and quasi-identifiers spanning structured payloads, logs, free text, and code.
Manage the transformation layer, selecting appropriate methods per entity and policy such as masking, tokenization, redaction, pseudonymization, and format-preserving encryption.
Deliver runtime adaptors covering latency budgets, streaming inference, schema drift, and fail-open versus fail-closed semantics.
Create evaluation infrastructure incorporating recall-weighted metrics and conducting re-identification attacks on internal output.
Configure anonymization policy as a dynamic surface to handle varying customer and jurisdictional needs.
Oversee high-impact systems spanning the entire lifecycle from initial design to production deployment.

Requirements

Possess three to six years of relevant professional experience.
Demonstrate a robust software engineering background with a history of shipping production systems.
Bring practical experience constructing production-scale data pipelines capable of handling massive data volumes.
Apply natural language processing expertise involving information extraction, sequence labeling, or named entity recognition on messy text, or show trust and safety or fraud detection work focusing on rare event recall.
Familiarity with low-latency inference services such as event systems, sidecars, or streaming pipelines.
Capability to operate swiftly within a high-ownership and rapid environment.
Maintain a deep dedication to precision, high quality, and customer impact.

Nice to Have

Prior work in health-tech or fintech privacy, HIPAA Safe Harbor or Expert Determination, GDPR pseudonymization, differential privacy, tokenization vaults, k-anonymity, or synthetic data.

Skills and Tools

Natural Language Processing (NLP)
Production-scale data pipelines
Low-latency inference services

Salary and Benefits

Annual salary range of $260,000 to $290,000 USD
Meaningful equity and competitive salary
Health insurance covering medical, dental, and vision
401(k) plan with employer match
Daily UberEats stipend for meals
Monthly wellness stipend

About the Company

AfterQuery operates as an applied research lab based in San Francisco, building data and evaluation systems for frontier foundation model development. Backed by prominent investors and industry angels, the organization partners with leading artificial intelligence labs to supply high-quality training datasets.

How to Apply

Interested candidates should visit the official AfterQuery careers page to submit their application for this role.

Skills and tech stack

NLP

Questions candidates ask

What is the location of this job?

The role is based in San Francisco, California.

What is the salary range for the Machine Learning Engineer position?

The annual salary ranges from $260,000 to $290,000 USD, accompanied by meaningful equity.

How many years of experience are required?

Applicants must have 3 to 6 years of relevant experience.

What skills are needed for this role?

Required skills include a strong software engineering background, experience with production-scale data pipelines, applied NLP expertise, and familiarity with low-latency inference services.

What benefits are provided to eligible employees?

Eligible employees receive health insurance (medical, vision, dental), a 401(k) with employer match, a daily UberEats meal stipend, and a monthly wellness stipend.

Ready to apply?

The application is on the official AfterQuery careers page.

Apply on company site