Grit

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 in private beta, but have already deployed thousands of successful changes for beta customers and have raised a $7M seed round from top investors. We’ve got lots of fun challenges at the intersection of machine learning and programming languages. Our stack is Scala, Rust, TypeScript, Python, and Kubernetes. 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 using unit tests for reinforcement learning. Here are a few reasons you might be interested in applying: - We work fast and focus on shipping, with a single meeting per week (demos!). - We’re working on the edge of the possible and doing deep technical work in parsers/language design and machine learning. - We mostly work in-person in New York and San Francisco, but remote is also possible for outstanding candidates who have proven success in a remote model. - I’m personally committed to giving real feedback to everyone who applies.