[Remote] Senior Scientist, Synthetic Data and Privacy
Note: The job is a remote job and is open to candidates in USA. NVIDIA is at the forefront of the AI revolution, and they are seeking a Senior Scientist to join their team to advance capabilities in generating synthetic data and privacy-preserving AI. The role involves contributing to open-source libraries within the NVIDIA NeMo ecosystem and combines hands-on software engineering with applied research in LLMs and privacy-enhancing methods.
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
Skills
- PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience
- A research background of 2+ years in applied LLM/NLP research and engineering, synthetic data generation, anonymization and PII detection, or related areas. Comparable experience is also considered
- 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
- 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
- Ability to build and optimize scalable data processing pipelines for large-scale models
- Functional knowledge of global privacy regulations such as GDPR or CCPA
Benefits
- You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).
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