Senior Scientist, Synthetic Data and Privacy
US, CA, Santa Clara, United States
USD 168K-304K Senior-level Full Time
Tasks
- Apply distillation for model compression
- Apply quantization for inference optimization
- Build LLM based synthetic data generation methods
- Build privacy preserving AI methods
- Design open source libraries and SDKs with clean APIs
- Drive software excellence with modern tooling
- Ensure strong documentation quality
- Evaluate models on multilingual text documents and multimodal content
- Implement context aware anonymization
- Maintain open source libraries and SDKs
- Manage code with Git
- Mentor interns and junior researchers
- Optimize task specific LLMs for low latency high throughput inference
- Publish research at machine learning conferences
- Scale frameworks for real time inference
- Set up CI/CD pipelines
- Use configuration based architecture
Perks/Benefits
Skills/Tech-stack
API Design | Anonymization | CCPA | CI/CD | Data Generation | Data Privacy | Data Processing | Data Processing Pipelines | GDPR | Git | High Throughput | High-throughput inference | Inference Optimization | Language Models | Language Processing | Large Language Models | Low Latency | Low Latency Inference | Model Distillation | Model Quantization | Multilingual NLP | Multimodal Learning | Natural Language | Natural Language Processing | Open Source | Open-Source Development | PII Detection | Processing pipelines | Software development | Source development | Synthetic Data Generation | Synthetic data | TGI | VLLM
Education
Roles
Regions
Countries
States
Cities
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