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.
Their vision is to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers.
Current customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Andreessen Horowitz, Gradient Ventures (Google’s AI-focused venture fund), Kleiner Perkins, and First Round Capital and has been featured in Tech Crunch
, Web Summit
- Remote or San Francisco
- 7+ years of professional software development experience
- A bachelor’s degree (or equivalent experience) in computer science or a related field.
For more information, please contact firstname.lastname@example.org