Our client is building software infrastructure for industrial data science teams to do data labeling for the training of neural networks. When we build software, we take for granted the existence of collaborative tools to write and debug code. The machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy.
We are backed by some of the finest people in the Silicon Valley who work at Andreessen Horowitz, Gradient Ventures (Google's AI fund), Kleiner Perkins and First Round Capital.
- 4+ years of experience building data rich frontend web applications
- A bachelor’s degree (or equivalent experience) in computer science or a related field.
For more information, please contact firstname.lastname@example.org