My name is Aparna and I'm one of the founders of Arize AI! We're building developer tools to make AI more Observable, Responsible, & Fair.
Before Arize, I worked on ML teams at Uber where I found it incredibly difficult to understand why a machine learning model behaves the way it does when deployed into the real world. If a machine learning team doesn’t have the tools to answer basic questions about a model’s performance metrics, how could they even attempt to answer more complex questions about the impact of these systems on the communities they are meant to serve? I started Arize to help unpack the AI black box and provide ML teams the ability to get visibility into their models. You can't fix what you can't see.
When I started Arize, I couldn't building a platform to help make AI more fair without a team that reflected who it was meant to serve. Our exec team is 75% women, our founding engineers are half women, and as our team scales, it's important to me to make sure our recruiting efforts are intentional about hiring diverse talent.
Any advice from other hiring managers/founders/or folks on the job hunt what they did to be successful in hiring diverse talent as they scale?
AND OF COURSE, I AM HIRING ACROSS ALL ENGINEERING, MARKETING, SALES, COMMUNITY, and PRODUCT ROLES! PLEASE DM me and I will make sure we grab time to talk!