Researcher - AI Data & Storage
Tasks
- Architect and implement data lineage and versioning systems
- Build fast checkpointing and model loading offloading
- Collaborate with global teams to productionize innovations
- Conduct applied research for AI data engine architecture
- Develop and optimize distributed dataset shuffling
- Implement KV cache loading and offloading
- Implement automated lifecycle management for AI assets
- Integrate AI storage with AI data and orchestration frameworks
- Optimize end to end data path to GPU memory
- Prototype AI storage architectures for large scale training and inference
- Provide low latency metadata serving
- Publish research at top-tier conferences
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Memory | C plus plus | C# | CUDA | Caching | Checkpointing | Data Catalog | Data Lineage | Data Management | Data Shuffling | Data Versioning | Distributed Systems | File systems | GPU memory | GPU memory management | KV cache | Kernel optimization | Memory Management | Metadata Management | Model Loading | Model Offloading | Networking | PyTorch | Python | RAG | TensorFlow | Workflow Orchestration
Education
Roles
AI | AI Research Scientist | Research Scientist | Researcher | Scientist
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