We’re building software to automatically fix technical debt. We do this by combining expressive static analysis tooling (we’ve built a developer-friendly query language for code) with machine learning to automatically migrate code to new patterns and platforms. We’re deployed thousands of successful changes for initial customers and have raised a $7M seed round from top investors (led by Founders Fund). We’ve solving challenges at the intersection of machine learning and programming languages using Rust, TypeScript, and LLMs. We’re hiring for both smart generalists and PL/ML experts who are interested in collaborating on problems like automatically inserting new types into codebases and automated unit test regression-fixes. Here are a few reasons you might be interested in applying: - We’re working on the edge of the possible and doing deep work in parsers/language design and machine learning. - We mostly work in-person in New York, but remote is also possible for outstanding candidates who have proven success in a remote model. - I’m personally committed to providing quick feedback for everyone who applies. Learn more at https://www.grit.io/careers or email morgante@grit.io.