We help ML teams improve their models by improving their datasets
Aquarium is making it easier for teams to build and improve their ML models.
As a full stack software engineer, you will drive development of our core user-facing application. Our current tech stack is a modern, rich frontend experience, built on React/Typescript/WebGL on the frontend, with a primarily Python backend. In addition to building out a well-engineered application, you’ll also be heavily involved in product iterations. Machine learning projects involve many different people (ML Researchers, ML Engineers, Product Managers, Operations, etc.), and the right product will understand and support everyone involved.
What you will do
What you should have
Aquarium helps deep learning teams improve their model performance by improving their datasets.
A model is only as good as the dataset it’s trained on. We help teams find problems with their datasets + models and fix them by editing / adding data to their datasets.