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I need to show you something. 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… "Deliver industry leading applied research solutions to problems like VLM finetuning…"
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. Sound familiar? You've probably noticed it too. Your colleagues casually mention they're "fine-tuning a VLM" and you nod like you know what that means. And every month you wait, the gap gets wider. I'm not saying your CV skills are worthless. The engineers who can bridge both worlds are getting the $150k+ roles. 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, P.S. We're running a special promotion through Sunday, February 15 on VLM Mastery, our complete vision-language model training. If you want to skip ahead, you can check it out here. Otherwise, I'll explain everything over the next few days. Not interested in this offer? You can mute this series and still get my weekly tutorials. |

