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