Senior Scientist, Synthetic Data and Privacy
Core
Developing LLM-based methods for synthetic data generation, privacy-preserving AI, and context-aware anonymization within the NVIDIA NeMo ecosystem.
Role type
Senior Scientist, Applied Research & Engineering (LLMs/Privacy)
Builds
Open-source libraries, SDKs, and frameworks for high-quality synthetic data generation and privacy at scale.
Domain
Artificial Intelligence, Large Language Models (LLMs), Data Privacy, Machine Learning
Deliverable
production ML models | product features | research
Required skills
LLM research and engineering, synthetic data generation, context-aware anonymization, PII detection, software library development, research publication, team mentorship
Preferred skills
Inference optimization (distillation, quantization), scalable data processing pipelines, global privacy regulations (GDPR, CCPA), open-source contributions
Technologies
vLLM, TGI, Git, CI/CD
Responsibilities
Build LLM-based methods for synthetic data and privacy; Optimize task-specific LLMs for low-latency inference; Design and maintain open-source libraries and SDKs; Publish original research at top ML conferences; Mentor interns and junior researchers
Seniority
Senior, hands-on IC with research leadership
