Gantry is building infrastructure and developer tools to help machine learning teams turn their projects into production-grade machine learning systems. We offer an Evaluation Store
, a single source of truth for model performance metrics. Our tool helps machine learning teams understand the performance of their models in production and make operational decisions like whether to deploy, when to retrain, and what data to label and retrain on.
Gantry was founded by Josh Tobin
, former OpenAI researcher and co-creator of Full Stack Deep Learning
, and Vicki Cheung
, former founding engineer at OpenAI and Compute team lead at Lyft. Gantry is well-funded and backed by top-tier venture capital firms and angel investors including Pieter Abbeel and Greg Brockman.
We value diversity and encourage candidates from underrepresented groups to apply.
We are hiring a machine learning engineer focused on NLP to join our core team. Since we are building tools for ML engineers, this is a dynamic role that will involve both coming up with pragmatic solutions to challenging ML problems and helping develop a user experience that is delightful for people who spend their time developing models.
Most of the team is based in San Francisco, but we are building a remote-friendly company and welcome applicants from anywhere in the US. We offer competitive salary, a significant equity stake in the company, and full benefits