2024 Summer Interns: Vespa.ai open-source Software Development

At Vespa.ai we help our users run Big data + AI, online.

We seek summer interns that are passionate about coding and solving real-world problems within Machine Learning, performance, UI, LLMs, use-case sample applications and operations of large systems on AWS and GCP. We use:

• C++, Java

• JavaScript/TypeScript, Mantine, React

• Go, Python

• ONNX, LangChain, Huggingface

• Podman, Docker

We code using Mac or Linux laptops, using tools of our own choice. Everything we do is auto-tested and released to DockerHub daily.

Join our summer of 2024 intern team to work on a popular open-source project - github.com/vespa-engine/vespa has 10M+ downloads and is rapidly growing. Our summer interns always write code we release with this - this is your way to make a change!

The 2024 intern projects are not yet set in stone - we try to adapt to the passions of our interns, and this space moves so fast. It is welcome to suggest and work on projects that you can build on in your master thesis, or continue part-time with us. Ideas:

• Use a Large Language Model to generate data for automated tuning of search and recommendation use cases.

• Build user interfaces using TypeScript and Mantine to manage large clusters of nodes.

• Build tools in JavaScript/Python for detailed trace analysis of millisecond query performance, with performance optimization hints.

• Implement an automated relevance toolkit for Hybrid Search, train models to balance ranking profiles: BM25, vector search ++

• Use LangChain or Vercel AI SDK with Vespa and build a full-stack demo application to implement Retrieval Augmented Generation like search.vespa.ai.

• Implement case studies using Jupyter Notebooks, with great-looking graphics, animations, code and text. Work on our Python APIs.

• Implement a full-stack vector-search sample application using GCP, Kubernetes and Next.js.

• Develop a full performance testing suite using Grafana Cloud k6.

• Build a Vespa API in Go for use in AWS Lambdas / GCP functions for data access, queries and management.

Minimum Qualifications

Computer Science (or similar) student. Experience with one of:

• Java

• C++

• JavaScript

• Go

• Python

Bonus

• Familiarity with performance measurement, analysis and tuning methodologies

• Knowledge/experience with GCP, AWS, Azure

About Vespa.ai

Vespa is a fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real time. Together with Vespa's proven scaling and high availability, this empowers you to create production ready search applications at any scale, and with any combination of features.

Recommendation, personalization and targeting involves evaluating recommender models over content items to select the best ones. Vespa lets you build applications which do this online, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. This makes it possible to make recommendations specifically for each user or situation, using completely up to date information.

The Vespa.ai team is 30 developers located in Trondheim, Norway. Our users and customers are #1 in e-commerce, content and financial services, globally.

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