Machine Learning / Data Engineer

📋 Description Design, train, and evaluate ML models that detect sensitive entities across text and image-based Build replacement pipelines that substitute detected entities with coherent alternatives at scale Run deep dives into enterprise data to assess quality Design and automate validation suites for data pipelines Surface and characterize quality issues for engineering and product Build adversarial test sets for de-identification across all sensitive data classes 🎯 Requirements 4-5 years of hands-on machine learning experience Strong Python for ML development and data validation (pytest, Great Expectations, Pandera) Solid SQL and experience validating data across pipeline stages Familiarity with sensitive data standards - HIPAA Safe Harbor, GDPR/LGPD, PCI DSS Experience building and testing NER or other ML-based detection systems Understanding of re-identification risk 🎁 Benefits Work at the frontier of AI Contribute to leading-edge AI research and showcase work at top conferences Bring frontier AI innovation to the enterprise Collaborate with exceptional colleagues from leading tech companies Move at the pace of AI innovation with startup speed and ownership