Research Engineer, Privacy and Anonymization

Job not on LinkedIn

🔥 51 minutes ago

🇸🇬 Singapore – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📚 Research Engineer

👻 Ghost score 13%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

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• No salary listed.

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Pragmatike

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💼 Consulting

📣 Marketing

🎯 Recruiter

Consulting • Marketing • Recruitment

Pragmatike is a remote IT recruitment and staffing company that sources, vets, and places international tech talent for businesses. They provide human-curated matching (not solely AI), technical assessments, and fast placements—claiming qualified specialists can be introduced within 48 hours—while handling onboarding, invoicing and international payroll. Pragmatike serves startups and enterprises with roles like developers, data engineers, mobile and game developers, product managers and specialists, operating across 60+ countries with a large vetted talent pool.

📋 Description

• Build systems to detect PII, quasi-identifiers, credentials, and other sensitive information • Design transformations based on data type and downstream use case • Develop and benchmark detection approaches combining rules, statistical models, classifiers, and LLM-based methods • Build production pipelines that anonymize raw data before downstream processing, training, evaluation, or synthetic data generation • Create evaluation frameworks measuring privacy risk and retained data utility • Use 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 • Work with engineering, research, operations, and customers to translate privacy requirements into technical policies and safeguards • Own detection methods, transformations, evaluation, and the pipeline preceding training and generation

🎯 Requirements

• Strong proficiency in Python • 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 each is appropriate • High attention to detail and ability to reason about 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 • Comfort collaborating across teams and time zones • Remote candidates must overlap approximately 70–80% with San Francisco (US Pacific) or Singapore business hours • Practical experience with privacy-enhancing technologies, sensitive data, low-latency or high-throughput ML inference, or taking research through production is advantageous

🏖️ Benefits

• Equal employment opportunities and a fair, inclusive hiring process • Personal data processed solely for recruitment purposes with reasonable safeguards • Opportunity to work on privacy and data-protection systems for AI training • On-site office option in San Francisco or Singapore, or remote work option

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