Senior Researcher - AI Data Platforms
Tasks
- Build RAG optimized intelligence
- Conduct applied research on AI data storage and retrieval systems
- Design agent memory and knowledge base systems
- Develop vector native data lake architectures
- Implement hybrid search and dynamic indexing
- Integrate AI storage and data orchestration frameworks
- Optimize distributed shuffling and fast checkpointing
- Optimize end to end data paths to compute nodes
- Prototype data metadata and pipeline components with lineage and versioning
- Publish research and contribute to patents
Perks/Benefits
- N/A
Skills/Tech-stack
Async IO | C# | C++ | Caching | Chunking | Data Lifecycle Management | Data Lineage | Data Versioning | Data lifecycle | Dense retrieval | Distributed file systems | Dynamic Indexing | Faiss | File systems | Fine Tuning | HDFS | Hybrid search | Indexing | Kubernetes | LLM | Lifecycle Management | Metadata Serving | NVMe | Object storage | POSIX | Parsing | Python | RAG | RDMA | Ray | S3 | ScaNN | Slurm | Sparse Retrieval | Vector Databases
Education
Roles
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