Software Engineering Intern

August 14, 2024

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Description

About Codeium

Featured on the Forbes AI 50 list, Codeium has risen to become a leader in the AI developer tools space in just over a year, giving hundreds of thousands of users around the world code autocomplete, in-editor chat assistants, and more. Our IDE extensions span 70+ programming languages and 40+ editors. Our state-of-the-art proprietary language models and custom inference stack allow us to deliver the best experience possible to our users. We’ve achieved substantial revenue and enterprise traction as proof of the quality and usefulness of our tools.

We’re one of the fastest growing AI startups, focused on product, revenue, and customer experience. We work hard, and we operate with a high degree of trust, agency, and ownership.

Description: Software Engineering Intern

We’re looking for a software engineering intern to join us on our mission to build AI superpowers for developers.

What you’ll be working on:

• Develop a code generation and editing system capable of solving many everyday developer tasks.
• Explore and implement new interfaces for interacting with AI beyond autocomplete and chat.
• Maintain the reliability and scalability of our service across a wide range of IDEs, platforms, hardware, and programming languages.

What we’re looking for:

• Strong proficiency with at least one of the coding languages.
• Ability to learn and become an expert quickly.
• A team player and a self-starter.
• Hunger to dream up, plan, and execute tasks independently.
• Ability to work across the stack (frontend, backend, IDE extensions, ML, infra, data).
• Previous experience working with AI/ML, distributed systems, HPC, and systems/infrastructure is a plus.
• Familiarity with AI-powered developer tools like Codeium, Copilot, ChatGPT, and others is a strong plus.

What we believe:

• Our best work is done in person. The team goes in 5 days a week into our office in downtown Mountain View, CA (within walking distance of the Caltrain station).
• Research is in service of a better product. While we read many papers, we won’t have time to write them. The best AI researchers have excellent software engineering skills and know that infrastructure and evaluation work are critical.