Software Engineer / Researcher, AI-Native database systems
Seattle, Washington, United States
USD 129K-246K Senior-level Full Time Found 14d ago
Tasks
- Architect AI-native databases
- Build scalable vector search systems
- Collaborate on RAG infrastructure and LLM agent memory
- Design storage engines for embedding ingestion and multimodal retrieval
- Develop AI-augmented query processors with LLMs
- Implement structured unstructured and vectorized data storage
- Innovate Learned index structures and self-optimizing databases
- Publish and contribute to research and open-source communities
Perks/Benefits
- N/A
Skills/Tech-stack
AI | Cloud Native | Column-stores | Distributed Caches | Distributed Systems | Document Databases | Graph Databases | Key-Value Stores | Key-value | Language Models | Large Language Models | Memory Management | Multi-model | Multi-model databases | Relational databases | Retrieval-Augmented Generation | Search Engines | Self-optimization | Semantic Parsing | Vector Search | Wide-column stores
Education
Bachelor's | Master's | PhD
Language: en |
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