Member of Technical Staff, Data AI
Core
Build data systems for frontier AI model training, focusing on synthetic data generation, data anonymization, and quality evaluation pipelines.
Role type
Senior IC data systems engineer (AI/ML data infrastructure)
Builds
Synthetic data generation pipelines, data anonymization systems, evaluation frameworks, and quality-control systems for frontier model training
Domain
Artificial Intelligence / Machine Learning / Data Engineering
Deliverable
production ML models
Required skills
Python, synthetic data generation, data anonymization, privacy engineering, system design, data quality assessment, pipeline architecture
Preferred skills
LLM-generated data pipelines, relational/graph data anonymization, LLM benchmarking, reinforcement learning, privacy auditing, technical leadership
Technologies
Python
Responsibilities
Design and build systems for data generation and anonymization; translate research/compliance needs into experiments and production implementations; run iteration loops to prototype and evaluate data systems; partner with researchers and legal teams on data utility and safety; productize repeatable patterns into reusable platforms; mentor team members on design and code quality
Seniority
Senior, hands-on IC
