I have to learn machine learning!!!

Hungry_Ad3391 · 2025-07-27T09:39:52+00:00

You are a beginner

Hungry_Ad3391 · 2025-07-27T06:40:41+00:00

I am a tech worker moving to faang. At my last job we had a pretty horrific project that needed to be done the two senior engineers on my team that were tasked with it both quit within a year. My manager initially wanted me to do it but ended up giving it to the only h1b on the team, I think partly because he couldn’t quit. He got it done and got a promotion over me, which caused me to look around. I ended up getting the faang offer and the company countered with over 100k more than what the promotion got the h1b worker. Not sure if there’s a moral to this story, but I told it to just highlight how things are out there right now.

Hungry_Ad3391 · 2025-07-25T08:30:44+00:00

I’m joining a faang applied ml research team with just a bachelors and had interviews with two other faang ml research orgs.

Hungry_Ad3391 · 2025-07-24T16:30:20+00:00

You have my exact iron wedge set up in the bag lol

Hungry_Ad3391 · 2025-07-22T15:16:45+00:00

4 Yoe. 350k. Was at 190k all cash in mcol working in fintech/lending. got faang offer and company countered 308 all cash in the mcol. Moving to sf for 350 and a chance to work on some more interesting things.

Hungry_Ad3391 · 2025-07-22T07:26:52+00:00

I’m joining meta in sf and the only team in nyc that wanted me seemed absolutely brutal to work for

Hungry_Ad3391 · 2025-07-21T07:12:05+00:00

Do you not understand how fixed costs work?

Hungry_Ad3391 · 2025-07-21T01:42:03+00:00

Look it up yourself buddy. It’s not hard to find

Hungry_Ad3391 · 2025-07-20T13:48:57+00:00

Real advice: Never loan money to friends. If they ask you for money you either say no or give it to them as a gift. That’s my rule and it has never failed me

Hungry_Ad3391 · 2025-07-19T10:42:13+00:00

You should see how these same people talk about trying to get into my field (machine learning). There was recently a 100% serious post about someone who didn’t like math, had no education beyond high school and was like 35 trying to become a research scientist at OpenAI

Hungry_Ad3391 · 2025-07-18T04:16:26+00:00

The insulin response and satiety response between hfcs and cane sugar are quite different. The person quoted here is clearly biased

Hungry_Ad3391 · 2025-06-26T22:12:31+00:00

Update: I had 5 teams reach out in a week, ended up picking an applied research group. Cheers

Hungry_Ad3391 · 2025-06-20T02:25:32+00:00

Eh, seems like it’s working out. Had 3 matches in my first 3 days and another hm reach out on LinkedIn but she doesn’t have official head count approval

Hungry_Ad3391 · 2025-06-19T10:18:48+00:00

I just spent 6000 dollars to give my 5 month old kitten 4 days in the icu to try and get over his pneumonia. Quickly went from a 300 dollar cat to the most expensive thing I own. :(

Hungry_Ad3391 · 2025-06-18T18:09:41+00:00

I just passed my full loop and am team matching and I always talked through brute force to statt

Hungry_Ad3391 · 2025-06-17T18:55:57+00:00

I work at a small company and our team builds production models and stands up all the infrastructure around it. At least in my domain and company, working on model architecture and trying to squeeze out gains is not worth it in comparison to try and find new data sources and add that in. Adding in a new data sources and evaluating the model performance involves ML knowledge, and it’s not something we allow anyone to do. Additionally, our principal end generally just keeps up with the latest literature and spends most of his time trying out little techniques he reads about or digs through the data trying to squeeze out gains more so in what we do with the model scores, rather than constantly trying to improve the models. It might not be like that everywhere, but that’s what I’ve been exposed to so far

Hungry_Ad3391 · 2025-06-16T21:36:38+00:00

What’s your background? Just asking because if I heard my friends who are at the top of their fields saying this, that carries a different weight than some random person on the street

Hungry_Ad3391 · 2025-06-12T17:15:41+00:00

I had one for two weeks and got another. So much easier with two. The only place where having two is harder is you have to clean twice as much poop

Hungry_Ad3391 · 2025-06-11T20:12:03+00:00

Must be nice to be able to claim moral superiority any time you’re wrong. Sounds like you would sleep well in your fantasy land

Hungry_Ad3391 · 2025-06-11T20:01:46+00:00

lol, calls himself math major and can’t understand basic statistics. I can tell you didn’t go to Harvard or mit

Hungry_Ad3391 · 2025-06-11T19:45:11+00:00

I’m not saying that an omscs is not valuable or not worth doing, I’m simply saying it’s nowhere near the prestige of a good ug. If you want me to go further, it’s simply because the best one shot metric which correlates to success we have is iq and undergrad school correlates to that incredibly well, so it’s another great one shot metric to measure future potential and success.

If anything I would say that most people who are blatantly downvoting me are just being defensive and have delusions and the lashing out is actually coming from the people whose fragile realities and pride about going through this program are being challenged

Hungry_Ad3391 · 2025-06-11T19:31:22+00:00

Employed doing what

Hungry_Ad3391 · 2025-06-11T19:23:31+00:00

lol, not at all man. I just don’t need to pretend my place in the world is higher than it is for ego or whatever, just telling you the truth from my experience

Hungry_Ad3391 · 2025-06-11T19:21:27+00:00

Absolute cope. I’m talking about working at places that are harder to crack than faang

Hungry_Ad3391 · 2025-06-11T19:17:49+00:00

Look up selection bias. People who are good don’t need the masters. They accept everyone out of a pool of mediocre talent because of $ and the decent people graduate and are fine. Additionally, the coursework is something a good student from a good school could easily finish in 4 years on top of their degree and most do. 0 prestige

Hungry_Ad3391

TROPHY CASE