Senior Scientist, Synthetic Data And Privacy

NVIDIA

Base: $192,000 - $304,750 (level 4) or $224,000 - ...
Phd in computer science or related field
5+ years research in synthetic data generation
Expertise in pytorch and huggingface transformers
This role involves building advanced pipelines for generating synthetic datasets using innovative LLM-based methodologies while ensuring data privacy

Job Summary

  • This role involves building advanced pipelines for generating synthetic datasets using innovative LLM-based methodologies while ensuring data privacy.
  • Candidates are expected to publish original research at top machine learning conferences such as NeurIPS, ICML, ICLR, or ACL.
  • The position offers a competitive base salary ranging from $192,000 to $356,500 USD depending on the level, along with equity and benefits.

Matching Summary

This role involves building advanced pipelines for generating synthetic datasets using innovative LLM-based methodologies while ensuring data privacy.

Salary

Base: $192,000 - $304,750 (Level 4) or $224,000 - $356,500 (Level 5); Bonus/Equity: Eligible for equity; Benefits: Comprehensive benefits package included

Skills & Requirements

Must-have

  • PhD in Computer Science or related field
  • 5+ years research in synthetic data generation
  • Expertise in PyTorch and HuggingFace Transformers
  • Experience with differential private training DP-SGD
  • Proven track record of open-source library development

Nice-to-have

  • Active contributions to ML security open-source projects
  • Specialized expertise with Opacus differential privacy tools
  • Functional knowledge of GDPR and CCPA regulations
  • Proficiency with NER-based PII detection techniques
  • Ability to optimize scalable data processing pipelines

Key Requirements

  • PhD in Computer Science, Machine Learning, Statistics, or related field
  • 5+ years of research experience in synthetic data or privacy
  • Strong publication record at premier venues like NeurIPS or ICML

Work Rights

Not specified

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