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