I need to show you something.



This job posting showed up in my feed.

Machine Learning Engineer. $225,000. Innovative startup.

I got excited. Then I read the requirements. You don’t even need a degree, but you need to…

Close tab.

Not because I couldn't do the job. But because I couldn't prove I could do the job.

My resume says CNNs.
Object detection.
Image classification.
All the skills that were "cutting edge" two years ago.

Sound familiar?

You've probably noticed it too.
Job posts that used to say "computer vision experience" now say "multimodal experience preferred."

Your colleagues casually mention they're "fine-tuning a VLM" and you nod like you know what that means.
The intern is building things in a weekend that would have taken you months with traditional approaches.

And every month you wait, the gap gets wider.

I'm not saying your CV skills are worthless.
They're not. CNNs aren't going anywhere.

But Vision-Language Models aren't replacing computer vision; they're absorbing it.

The engineers who can bridge both worlds are getting the $150k+ roles.
Everyone else is competing for what's left.

Tomorrow, I'm going to show you exactly what's causing this gap and why it's actually not your fault that you're behind.

More importantly, I'll show you that catching up is faster than you think.

Talk soon,
Your PyImageSearch Team