Social

Starting/Transitioning your career in ML during a pandemic

Sangeetha Marshathalli Siddegowda, Armina Stepan, Babak Ehteshami Bejnordi

Abstract:

We sit down virtually to discuss challenges and opportunities that arise from having to start a career in ML virtually, with tips and tricks for how to approach the application as well as the virtual onboarding into a new team.

We’ll discuss best practices for hiring and starting a career with special attention given to underrepresented groups in the AI field and the challenges/opportunities of remote work. During this presentation we'll hear from a recruiter that will give us tips and tricks on how to tell our professional story through an application. We'll also hear from two machine learning engineers, one which transitioned from a different industry and one who transitioned from academia.

Then we'll open the floor for discussions and networking.

Chat is not available.