Compensation is the biggest pro. Also, unlike other hire to fire companies (most tech companies at this point in 2024), you at least have a chance to prove yourself and are given a couple months to onboard. There are worse tech companies out there such as Amazon and Intuit, but Meta’s culture is still quite terrible. They try and justify the long hours and stress with how much you can make - Meta still pays more than any other major tech company, even in 2024, which is definitely a pro, but the culture is cutthroat and you can’t trust anyone. It would probably be easier to work two remote jobs at “less prestigious” tech or tech adjacent companies to make the same amount at Meta with more stability, better WLB, and less drama.
Pretty much the same as what one would experience at most tech companies in 2024. But some aspects are better or worse than others. Long hours. WLB is highly team dependent. Apparently Meta used to be a lot better in this regard, but now not so much. It is intense, but if you have startup experience, it is at least less intense than that. And again, it is more fair than a place like Amazon. Office politics are a thing at all tech companies, but a little more extreme at Meta. Blame and shame culture is big. People are snakes and are prepared to throw even the newest and most vulnerable employees under the bus to save their own skins. This makes things quite unfair, but as long as you’re proactive and document everything thoroughly, you’re at least given a chance to refute these attacks. A lot of gossip and backstabbing. This is separate from and still related to PSC culture, which everyone complains about. Management is terrible overall. Sometimes there is micromanagement. One of the few companies where it’s possible you’ll have a manager younger than you, even if you’re only 27-31ish. Often ICs seem to be held accountable for things that are way beyond their day-to-day scope - basically things that are ultimately the fault of leadership and management. Management frequently tries to pin things on their employees. Your manager is often trying to screw you, and if they can’t find a way, they are often trying to invent things you did wrong. This isn’t a dealbreaker because as long as you’re doing your job, it is easy to refute, but it creates a ton of work because you have to be extremely well-organized and have documented every interaction with your manager colleagues. I recommend studying employment law / consulting with an employment lawyer early on in your tenure at Meta, so you know what to look for. Because it is a massive tech company, you are there to please your manager and make them look good, so you need to do pretty much whatever they say. there’s a lot of internal conflict because it’s very authoritarian, also fairly draconian, and it’s bottoms up at the same time, every man for themselves. Do everything your manager says and it is somehow still all up to you as an individual employee to make the company successful. To top it all off, your colleagues suck too. People brag about work that YOU did as being THEIR work that THEY did if it is successful. If a project involving multiple people is so much as an hour late, then YOU are blamed, even if you had nothing to do with the lateness. The lateness itself isn’t really the problem because guess what? It’s not anything is broken. Except for when things do break and the whole app crashes for a day because everyone is forced to focus on office politics instead of their actual work. it’s not really about the value you create, so much as it is the PERCEIVED value you create and whether or not your manager likes you. Ergo, a lot of bootlicking charlatans make it to the top.
Title says it all Blind tax L63: $180k
I keep seeing Blind posts by Googlers about how the new GRAD system sucks and how there are toxic elements like stack-ranking being introduced now, but at the same time my Googler friends are still posting IG stories of themselves goofing off at work and in general having a chill time. What’s the gr...Read more
Could any one give me some suggestions? What about news feed ranking in FB, and reels ranking in instagram? Any comments will be greatly appreciated. I am interested in wlb, career path, etc. which one is a better option? Regarding wlb, is reels similar with ads? Thanks!
Team matched with a couple teams, any meta engineers care to give me their opinions? Oncall experience? And wlb? 1) Instagram Trust - working on protection to like threads, phising scam, impersonation and authenticity, impactful space: work on features to make ig safer, no prior knowledge for secur...Read more
What’s the secret behind the ranking of followers that view your Instagram story? I know Instagram said it’s based on who you engage with the most. But I have to know - do the top 3-5 viewers have anything to do with who visits my profile the most?? Really important question please answer.😂 TC 210...Read more
Starting as a new grad ML E-3 and currently in bootcamp. Considering ig growth team and fb feeds ranking team in bootcamp. How does the promotion opportunities looks like in these two groups, from 3 ->; 4 and from 4 ->; 5. Also, any wlb distinctions?
Got my first offer with Adobe after interning with them as an MLE but I was told we can’t negotiate. I am have started interviews with Meta on the Instagram Ranking or Reels Algo teams. What would AI Research Engineer or MLE offer look like for entry level with an MS?
Hi guys, I’m in team matching for Meta and have interest from a bunch of groups. I’m curious about the WLB on content ranking/rec sys teams (for reels, IG, threads, news feed, etc) Has anyone worked on these and can share experience? I’ve heard ads has pretty poor wlb but haven’t heard much about ...Read more
Personal Ranking: Google Facebook AirBNB Netflix Instagram Snapchat Apple Uber LinkedIn Twitter Pinterest Lyft I’ve done about 100 Leetcode and I have 12 paid mock interviews lined up that I haven’t completed yet. Planning on going through “Grokking the System Design Interview” as well. I know som...Read more
Hello, I am looking to practice for ML design rounds. These rounds are usually based around designing a recommender system or a ranking system for platforms like Instagram, Twitter, FB feed, App store ranking. If you are preparing for ML design rounds, let's do 1,2 ML system design rounds that help...Read more
I thought fb, insta and YouTube’s feed algorithm uses ML to train from our interactions over few posts and recommend more like that. But in the Social network movie the Mark character asks his friend about some ranking algorithm, so I m confused. I don’t think Twitter’s algorithm uses AI/ML How d...Read more
Hello, I am looking to practice for ML design rounds. These rounds are usually based around designing a recommender system or a ranking system for platforms like Instagram, Twitter, FB feed, App store ranking. If you are preparing for ML design rounds, let's do 1,2 ML system design rounds that help...Read more
I am building a comprehensive list of system design interview topics. If you don’t know where to start, start with these: SYSTEM DESIGN COMPREHENSIVE TOPICS: 1. Near realtime location based system (Uber, DoorDash, Dating apps) 2. Near realtime Newsfeed system (FB, Insta) 3. File storage system (Go...Read more
Hello, I am looking to practice for ML design rounds. These rounds are usually based around designing a recommender system or a ranking system for platforms like Instagram, Twitter, FB feed, App store ranking. If you are preparing for ML design rounds, let's do 1,2 ML system design rounds that help...Read more
Hello, I am looking to practice for ML design rounds. These rounds are usually based around designing a recommender system or a ranking system for platforms like Instagram, Twitter, FB feed, App store ranking. If you are preparing for ML design rounds, let's do 1,2 ML system design rounds that help...Read more
Hello, I am looking to practice for ML design rounds. These rounds are usually based around designing a recommender system or a ranking system for platforms like Instagram, Twitter, FB feed, App store ranking. If you are preparing for ML design rounds, let's do 1,2 ML system design rounds that help...Read more
I'm about to join Meta as an E5 and was given the following list of teams to choose and finished talking with them yesterday. I feel I can work 50 hours/week but don't want to work more. While I am fine with XFN works, I'd like to do more coding/technical work initially. I wanted to see how these te...Read more
I received a verbal offer for MLE E4 at Meta and currently in the team matching process. I spoke to a few teams and here's how its going/went : 1. Instagram RecSys - Was very keen on joining the team but the role got filled up by someone else. 2. FB video recommendations - still in loop but lukewar...Read more
I work in tech recruiting (full disclosure: recruited in the past for Google and Uber ATG) and was helping a new recruiter with getting calibrated on profiles. So, I figured I would make a list to share some top tech companies with her while she searched for top Software Engineers (SWEs). But once ...Read more
## Interview Experience (Facebook, Google, Microsoft) #### Profile: *YOE:* 4+, all at Amazon (Applied Scientist) *Education:* PhD in Machine Learning (ML) from a Top 20 CS school *Location:* Seattle *Current TC:* $270K *Interview dates:* Last two weeks of April *Facebook offer (MLE):* 205K/700K/100...Read more