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LanceDB builds an AI-native multimodal lakehouse designed to accelerate large-scale data curation, feature engineering, and model training. The platform serves developers, researchers, and enterprises working across generative AI, multimodal data, retrieval-augmented generation (RAG), and physical AI applications such as robotics and autonomous systems. Its technology handles vector search, data loading, and streaming datasets, enabling organizations to manage petabytes of video, audio, and other data to build better models faster.

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About lancedb

LanceDB builds an AI-native multimodal lakehouse designed to accelerate large-scale data curation, feature engineering, and model training. The platform serves developers, researchers, and enterprises working across generative AI, multimodal data, retrieval-augmented generation (RAG), and physical AI applications such as robotics and autonomous systems. Its technology handles vector search, data loading, and streaming datasets, enabling organizations to manage petabytes of video, audio, and other data to build better models faster.

Open roles at LanceDB indicate that the company is actively expanding its technical teams with positions such as a Senior Solutions Engineer and an AI Research Engineer. These roles focus on pre-sales technical advisory, customer architecture design, and open-ended research into end-to-end training flows and deep learning models. The listed locations for these opportunities include the San Francisco Bay Area and the United States, reflecting targeted hiring for technical engineering functions supporting its multimodal data platform.

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