AI Research Engineer

LanceDB is an AI-native Multimodal Lakehouse that enables researchers to curate large-scale multimodal data and accelerate AI training workflows. The AI Research Engineer will conduct open-ended research focused on end-to-end training flows across AI domains, demonstrate how LanceDB accelerates research, publish models and research, and collaborate with engineering and product teams to improve the platform.

Responsibilities:

• Show how Lancedb can be used for training models end to end from curation to modeling across industry verticals
• Compare the Lancedb stacked workflow with existing standard training flows with well designed and replicable experiments, that may include benchmarking
• Provide core content and work cross-function with to increase awareness for workflow specific features like blobv2, distributed indexing etc
• Publish models and research papers on LanceDB blog platform, social media, and in AI conferences
• Partner closely with engineering and product to provide feedback from a researcher’s perspective