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Applied Research Intern

Weaviate · Europe

On-site Intern
vLLMRAGWeaviateTensorRTGoRustC++Computer visionNLPDeep learning

ABOUT WEAVIATE Weaviate https://weaviate.io/ is an AI startup with open source and creativity at its core. Our AI-native vector database uses machine learning to create meaningful insights from unstructured data in a completely new way. Named one of Forbes’ Top 50 AI startups, and with over a million monthly downloads, Weaviate is quickly growing in popularity with developers and enterprises alike. Our team members work remotely across the globe with the flexibility to work from anywhere and at any time. Our people experience this as a massive benefit! Operating with a strong sense of ownership and collaboration, our teams prioritize results while empowering each individual to do their best work. Join us for the summer and work with some of the world’s brightest and kindest (!) database engineers on the planet to push the boundaries of vector and hybrid search, RAG, and recommendations even further. To get an impression of Weaviate under the hood, check out this Architectural Deep Dive from Co-Founder and CTO Etienne Dilocker https://www.youtube.com/watch?v=4sLJapXEPd4 at the CMU Database Group - ML⇄DB Seminar Series (2023). WHAT TO EXPECT - Paid, full-time internship at one of the most exciting companies in the database and AI space. - Post-internship career opportunities at Weaviate. - Make meaningful contributions that change how our users use Weaviate (see example project list below). - Work directly with experts in Databases, AI, IR, etc. - Low-level work possible: Weaviate’s core components (LSM stores, vector indexes, filtering and inverted indexes, networking, replication, etc.) are all written in-house - Work entirely remotely from anywhere in the world. - Participate in company off-site events during your internship (Note: There is no guarantee that an off-site event will happen during the course of the internship. If it does, you’re part of it). QUALIFICATIONS - Programming Languages: Experience with statically typed languages

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