Challenges

• How do we develop a code generation and editing system capable of solving many everyday developer tasks?

• What's the next big interface after autocomplete and chat for interacting with AI?

• How do we maintain 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.

• 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.