Jobs · Engineering · California

Senior Scientist, Synthetic Data and Privacy

NVIDIA · Santa Clara, CA · 2 wk ago
EngineeringFull-time

About the role

NVIDIA is seeking a Senior Scientist to contribute to the development of open-source libraries within the NVIDIA NeMo ecosystem. The ideal candidate will focus on LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with a strong emphasis on automated evaluation across multilingual text, documents, and multimodal content.

Responsibilities

  • Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content.
  • Optimize task-specific LLMs for low-latency, high-throughput inference (distillation, quantization), and scale our frameworks to run in real time.
  • Design and maintain open-source libraries and SDKs with clean APIs and strong documentation.
  • Drive software excellence with modern tooling, architecture based on configuration, and professional Git/CI-CD.
  • Publish original research at top machine learning and AI conferences to maintain NVIDIA's technical leadership.
  • Mentor interns and junior researchers to develop technical growth within the team.

Requirements

  • PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
  • Research background of 2+ years in applied LLM/NLP research and engineering, synthetic data generation, anonymization and PII detection, or related areas.
  • Proven track record of developing or maintaining software libraries used by a broad developer community.
  • Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL or similar.

Qualifications

  • Active contributions to open-source projects, particularly in ML, security, or privacy domains.
  • Deep technical understanding of LLMs and inference optimization (quantization, distillation, latency/throughput tuning), with frameworks such as vLLM or TGI.
  • Functional knowledge of global privacy regulations such as GDPR or CCPA.

Skills

  • Experience with LLMs and inference optimization (quantization, distillation, latency/throughput tuning).
  • Knowledge of global privacy regulations such as GDPR or CCPA.

Benefits

  • NVIDIA is widely considered to be one of the technology world's most desirable employers.
  • The base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4.
  • You will also be eligible for equity and benefits.

Pay

  • Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Schedule

  • This posting is for an existing vacancy.

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