CommandBar
Magical widget that makes any software way easier to use
AI/ML Engineer
About the role
CommandBar's ML initiatives to date include: (1) Automated config: Learning what actions users are taking on a site and recommending those actions to CommandBar customers (2) Recommendations: Based on metadata provided by customers, predict what actions are relevant to a new and surface those recommendations directly to them (3) Customer insights: Cluster deadend searches to give customers insights into what their users want to do inside their product.
As an AI/ML Engineer at CommandBar, you'll own the execution of these initiatives as well as share responsibility over our data pipeline.
What will help you succeed
- 5 years of relevant work experience
- Familiarity with the technologies in our stack (see below)
Our tech stack
- Python / Django for backend services
- Node and Typescript for web services
- React on the frontend
- Infra on AWS
- Data pipeline: MySQL, Segment, DBT, Redshift
Why you should join CommandBar
Our goal at CommandBar is to improve how software works for everyone. We build a widget that any software company can embed in their app to enhance user experience, making it easier and faster for users to get stuff done.
We serve millions of end users monthly and work with customer-obsessed companies like ClickUp, Gusto, Netlify, AngelList, Shortcut, OneSignal, and many others. We're proudly backed by Thrive Capital, YCombinator, BoxGroup, and world-class angels.
