Software Engineer - Full Stack


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 an engineer to build the API and design the developer interfaces for our core services. Since our users are themselves data scientists, ML engineers, and infrastructure engineers, your work will not only help our product scale, but also be a determining factor in how usable and delightful it is.

What you'll do

  • Collaborate with our ML engineers to design and develop the client libraries our users will interact with
  • Lead the design of the APIs for core backend systems powering our product
  • Work with our designer and frontend engineer on building our web console
  • Set engineering standards and culture as we grow the team

You may be a good fit for this role if you

  • Consider yourself a generalist software engineer, comfortable with building react apps and server-side APIs
  • Enjoy building tools that make other developers more productive, e.g., open source projects, CLIs, APIs, etc
  • Are excited to help to accelerate the ability of companies to deploy machine learning as part of their core products and services
  • Want to have a large impact as an early member of the team
  • Are comfortable managing complexity, making pragmatic trade-offs, and dealing with ambiguity
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