Hey Snehal! I know what you mean, I was there. But in the end I stopped applying ( at least stopped using job boards ), it became better after I optimised my LinkedIn and started being a bit more active there. During July I was managed to get about 7 initial screenings, 5 were from recruiters who reached me in LinkedIn. I am applying from time to time if I see that the opportunity is really interesting

@Snehal Chaudhari I will reach you out in LinkedIn)

Hey! how are you preparing for leetcode or tech interviews? Asking out of interest, I am struggling with the same, will appreciate any take on this

@Jordan Villacorta hey, I checked pramp, seems like a good idea if you want to get some real practice or check some real questions, thanks!

@Nate Hobi Hi Nate, so grateful for such a valuable feedback! Thanks for you time and I will probably add some more thoughts on this a bit later

@Nate Hobi Going back to the strategy you’ve proposed, I think this is the one that works and that is more or less predictable and clear the only thing is that it takes time. I would still try to apply for ai engineering positions, but after preparing a really good project and trying to network with people from the targeted companies, if this is still not enough these yeah, I need time to prepare better and will target big tech. The thing is that I am just tired of a job for the sake of a job, so my ideal variant is not to waste time on it anymore. But I know the reality don’t care about my plans, so let’s see how it goes :)

@Nate Hobi I am located in Austin right now, but is going to relocate to SF soon. I think I am good at diving deep into the details when needed and having experience in both web development and LLMs might be a plus (but I also believe sometimes it's not what companies would prefer). I am also developing a small technical blog right now, which I believe could be useful for those who are learning ML. Looking forward to create and share a quality content as I believe a good learning materials is one of the key point to succeed.

@Nate Hobi Thanks! These are steps I found helpful: 1. Math ( https://www.youtube.com/@3blue1brown ). Linear algebra, calculus, probability theory. 2. Get a super good understanding of transformer architecture https://www.youtube.com/@AndrejKarpathy/videos . Not only watching the videos, but building the transformer yourself without libraries, everything from scratch helped a lot. 3. Then I read the fundamental papers like “Attention is all you need”, backpropagation, BPE tokenizer, scaling laws 4. Getting some context helped a lot. I was reading this and googling everything I don’t understand, trends, optimisation techniques, companies https://www.stateof.ai/ 5. Communities. I personally love this one (Cohere Labs) https://discord.gg/Puw6Nffk. They can help a lot and they have a lot of free events where they are talking a lot about ML and latest research.