About the role
Continue is seeking an outstanding software engineer to help us build state-of-the-art autocomplete and codebase retrieval, who thinks rigorously and pays attention to the smallest details. In this role, you will work on fundamental, but highly open-ended problems where deliberate measurement, rapid experimentation, and empathy for users push forward the product.
About you
Please keep in mind that we are describing the background that we imagine would best fit the role. If you don’t meet all the requirements, but you are confident that you are up for the task, we absolutely want to get to know you!
- You are proficient in TypeScript and comfortable with Node.js, data structures and algorithms, and possibly ML
- You are a deliberate problem solver who moves quickly by doing things the right way, but understands how to trade off for time when necessary
- You are extremely detail-oriented and care deeply about building a product that you are proud to share with others
- Your natural instinct is to jump into the code, which you can do already, since a lot of the codebase is open source
What you will do
We’re a startup, so you’ll have to be ready to do whatever is required to accomplish our mission. However, you can definitely expect to:
- Define and solve fundamental problems to improve core product metrics like autocomplete acceptance rate and codebase retrieval accuracy in our open-source product
- Take ownership of the UI details that encompass your work by using your design sense, running experiments, and iterating from user feedback
- Design thoughtful abstractions to underpin our product and potentially serve as open-source standards
- Play a key role in our GitHub and Discord communities by answering questions and resolving problems
About Continue
We believe there is an opportunity to create a future where developers are amplified, not automated. This is why we are building the leading open-source AI code assistant and layering an enterprise governance product on top of it to enable organizations to create their own custom AI code assistant.
Headquartered in San Francisco, Continue (YC S23) is funded by Heavybit and angels like Julien Chaumond (co-founder of Hugging Face), Lisha Li (founder of Rosebud AI), and Florian Leibert (co-founder of Mesosphere).
With 15k+ GitHub stars, 300k+ downloads, and many large organizations like Siemens rolling out Continue, we are building a team to tackle the biggest challenges at the intersection of AI and developer tools.
