Weaviate
AI
AppliedResearchIntern
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Research Intern at Weaviate. Skills: Vector database, AI, Information Retrieval. Improve Filter performance. Design new index types”
What You'll Achieve.
Make meaningful contributions
Industry & Context.
Push boundaries
What They're Looking For.
Must Have
Experience with statically typed languages, Ability to work independently, Right to work in country
Nice to Have
Prior Go experience preferred, Database-related courses, Information-Retrieval-related courses, System Design course, Adv. Algos and data structures course
What You'll Do.
Improve Filter performance
Design new index types
Optimize hot-path code
Improve inter-node network communication
Improve query performance
Improve range filter performance
Improve filtered vector-search performance
Design cloud-storage-based vector index
Fine-tune embedding models
Develop video embedding models
Develop recommendation systems
Optimize Model Inference
Develop library usage
How You'll Work.
Team & Collaboration
Work with experts; Work with engineers
Communication Scope
Excellent communication
Process & Methodology
Ownership
Full Job Description
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 such as C/C++, Go, Rust, or
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