Research Scientist Graduate, (AI-Native database systems)- 2026 Start (PhD)
Seattle, Washington, United States
USD 129K-246K Entry-level Full Time Found 14d ago
Tasks
- Architect and implement AI-native databases
- Build scalable vector search systems
- Collaborate on RAG infrastructure and LLM backends
- Design storage engines for AI workloads
- Develop AI-augmented query processors
- Innovate in learned index structures and self-optimizing databases
- Publish research and contribute to open-source communities
Perks/Benefits
- N/A
Skills/Tech-stack
AI integration | Data Processing | Database Architecture | Distributed Systems | Language Models | Large Language Models | Multimodal Data | Multimodal Data Processing | Open Source | Open-Source Development | Optimizing systems | Retrieval-Augmented Generation | Self-optimizing | Self-optimizing systems | Source development | Vector Search
Education
Bachelor's | Master's | PhD
Language: en |
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