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 data visualization engineer to design and develop the charts and visualizations our users interact with. The ideal candidate will be comfortable owning visualizations from concept to implementation. Machine learning data tends to be rapidly changing and high-dimensional. Your work will push the boundaries of the field of data visualization. And since our tool is focused on understanding the performance of ML models, your work will be critical to the success of our product.
What you’ll do
Collaborate with our design and product teams to understand customer needs and use them to define the charts and visualizations that make up the dashboard
Implement the visualizations we define in our react-based web dashboard
Conduct user research to understand how our customers interact with the visualizations you are creating
You’ll participate in development of project timelines, implementation design specifications, system flow diagrams, documentation, testing and ongoing support of systems.
Define our data visualization software stack
Set engineering standards and culture as we grow the team
You may be a good fit for this role if you
Have experience building web-based data visualizations
Want to work on a challenging technical problem with an exceptionally talented and dedicated set of peers
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, making a critical aspect of our product functional and delightful
Are detail-oriented and enjoy iterating based on user feedback
Have a good understanding of elements of web design
Enjoy working with a high level of autonomy, thinking through priorities, tradeoffs and long-term design in a cross-functional environment
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