Applied Research Intern
Core
Intern role contributing to the core components of an AI-native vector database, focusing on storage, networking, vector indexes, and information retrieval systems.
Role type
Applied Research Intern
Builds
Core database components including LSM stores, vector indexes, filtering mechanisms, and networking protocols for a vector database.
Domain
Database systems, AI, Information Retrieval, and Cloud-native technologies.
Deliverable
production ML models | product features
Required skills
Programming in statically typed languages (C/C++, Go, Rust), Database fundamentals, Information Retrieval concepts, System Design, Advanced Algorithms and Data Structures.
Preferred skills
Prior Go experience, Experience with vector search algorithms, Knowledge of hybrid search and RAG systems.
Technologies
Go, C/C++, Rust, LSM stores, Vector indexes, FINGER, SeRF, ACORN, CLIP, vLLM, TensorRT, Ollama, NVMe, Cloud storage.
Responsibilities
Improve filter performance at scale, Design and implement new index types, Optimize hot-path code in the storage engine, Improve inter-node network communication, Fine-tune embedding models and rerankers, Develop hybrid recommendation systems.
Seniority
Intern