Master LLMs with our FREE course in collaboration with Activeloop & Intel Disruptor Initiative. Join now!

Publication

Why Your Approach to AI Job Applications is Flawed
Artificial Intelligence   Data Science   Latest   Machine Learning

Why Your Approach to AI Job Applications is Flawed

Last Updated on December 30, 2023 by Editorial Team

Author(s): Boris Meinardus

Originally published on Towards AI.

How to apply to AI jobs the uncommon way.

So, I got a DeepMind internship interview but I didn’t apply the standard way. I spent months applying to different listings and getting rejected over and over again until I tried out something new. It really brought my application success rate to the next level. So, in this post, I will share what this uncommon technique is and how to apply it step-by-step.

Now, this is important. I need you to think this through with me.

“What really is an application?”

Well, let’s say a product manager, team lead, or researcher, let’s call him Sam, is looking for a person who can help with a certain project. They just want to find someone who will do a good job on the project and be a good fit for the team. If they happen to know a person that they have worked with and liked working with, they could just ask them to join the project. But that is rarely possible, Sam needs to find that great candidate out of a pool of dozens or hundreds of applicants. Ideally, this process can be automated, that’s where the automatic resume scanners come into play and where recruiters rush through applications and hope not to miss… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓