Senior ML & Data Engineer: Data Quality & Compliance (Remote)

Remote; San Francisco (CA); Remote; USD 120,000 - 180,000; Full time

Job summary

Turing is hiring a Senior ML & Data Engineer - Data Quality to own the sanitization layer for enterprise data. You will build ML models to detect sensitive entities in text and image data, replace them consistently, and ensure data quality across pipelines with automated validation and audit trails.

You will work with a senior ML lead in a hands-on IC role, focusing on de-identification performance, error analysis, and scalable data processing for downstream AI applications.

Qualifications

• Strong Python for ML development and data validation.
• Solid SQL and experience validating data across pipeline stages.
• Familiarity with HIPAA, GDPR/LGPD, PCI DSS and NDA obligations.
• Experience building and testing ML-based detection systems (NER, etc.).
• Understanding of re-identification risk and data leakage prevention.
• Comfort with ambiguity and fast-moving environments.
• Skeptical, detail-oriented approach to identify and prove issues.

Responsibilities

• Build ML models to detect sensitive entities in text and images.
• Design validation suites for data pipelines: schema, completeness, drift detection.
• Develop de-identification pipelines with consistent replacement across files.
• Run large-scale data processing for downstream task preparation.
• Create regression gates in CI/CD for data quality checks.
• Collaborate with engineering to investigate root causes of leaks or inconsistencies.

Skills

Python for ML

SQL validation

NER models

Data privacy standards

Re-identification risk

Ambiguity tolerance

Skeptical mindset

Tools

BigQuery

GCS

Cloud Run

Job description

Turing is hiring a Senior ML & Data Engineer - Data Quality to own the sanitization layer for enterprise data. You will build ML models to detect sensitive entities in text and image data, replace them consistently, and ensure data quality across pipelines with automated validation and audit trails.

You will work with a senior ML lead in a hands-on IC role, focusing on de-identification performance, error analysis, and scalable data processing for downstream AI applications.