Senior Scientist, Synthetic Data and Privacy

What you'll do

• Build LLM-based methods for synthetic data generation and context-aware anonymization.
• Optimize task-specific LLMs for low-latency, high-throughput inference.
• Design and maintain open-source libraries with clean APIs and documentation.
• Publish original research at top machine learning conferences.
• Mentor interns and junior researchers to foster technical growth.

What we're looking for

• PhD in Computer Science, Machine Learning, Statistics, or related field with 2+ years of applied research experience.
• Proven expertise in developing software libraries used by a broad developer community.
• Strong publication record at top machine learning and AI conferences.
• Deep understanding of large language models (LLMs) and inference optimization techniques.
• Experience in synthetic data generation, anonymization, and PII detection.
• Active contributions to open-source projects in ML, security, or privacy domains.
• Knowledge of global privacy regulations such as GDPR and CCPA.