Research Scientist - AI Agent Memory Infrastructure - Global Tech Research Program - 2027 Start (PhD)
San Jose, California, United States
USD 212K-387K Mid-level Full Time
Tasks
- Build distributed vector index engine
- Build memory storage and retrieval pipelines
- Collaborate to productionize memory capabilities
- Design memory infrastructure for AI agents
- Design unified memory models for multimodal data
- Develop elastic file systems and storage acceleration
- Develop indexing retrieval updating compression forgetting mechanisms
- Explore memory representation retrieval ranking conflict resolution
- Improve vector retrieval technologies
- Optimize GPU CPU MEM heterogeneous scheduling
- Optimize low latency high availability memory systems
- Optimize system quality latency cost reliability safety
- Research AI infrastructure network and observability
Perks/Benefits
- N/A
Skills/Tech-stack
Cause analysis | Data Compression | Data Ingestion | Data Retrieval | Data summarization | Distributed Systems | Distributed Vector Indexing | Fault Localization | Hardware/software | Hardware/software co-optimization | High Availability | Indexing | Information Retrieval | LLM | Language Models | Large Language Models | Low Latency | Low-Latency Systems | Multimodal Processing | Observability | Root Cause Analysis | Root cause | Scheduling | Storage Systems | Time Series | Time-series databases | Vector Database | Vector Retrieval | Vector indexing
Education
Roles
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