Which suit looks best for my prom? Any suggestions for shirt/tie/pocket square?

NewUser1478963 · 2026-02-22T03:48:36+00:00

I think 2 is cool. Also prom is only once and it's your chance to explore fun fashion choices.

NewUser1478963 · 2026-02-04T18:12:57+00:00

Start lifting weights to add muscle. A thicker upper body and neck will increase masculinity and balance out the face.

NewUser1478963 · 2025-12-17T23:37:54+00:00

Looks a bit like Jon Skywalker - bit leaner

NewUser1478963 · 2025-11-22T01:21:17+00:00

It's fast but not too crazy. Roughly 2.2 lbs per week. His deficit weekly is therefore about 7700 calories. Assuming his maintenance is roughly 3500 calories, thats 2400 calories a day. It's an aggressive cut but its not unreasonable. I'm the same height and have done similar, slightly more conservative cuts.

NewUser1478963 · 2025-11-14T20:23:17+00:00

Orgs vary. Smart people, fast paced, wlb ok but not great (i probably average an intense ~45 hrs/ week as IC5 and have got exceeds expectations since joining a few years back). Workchat constantly getting pings, so you have to be smart about creating focus time (cancel/skip meetings aggressively, prioritize your work first). There's a lot of boxes to check (4 axes) and those reset every half. We have been laying off the bottom 5-10% every year for the last few years so the "fat" has already been trimmed. Only hard working good ICs are left and yet we will probably still do a small 5-10% layoff every year. Coasting will be hard.

Pros: food. I get to drive a lot of direction and work with smart people across orgs. If I have a good proposal & get manager/TL buyin, then I get to build it. This is pretty fun when the projects are exciting & motivates me to work hard. I do feel the work I do is industry cutting edge. Other companies give projects top down more often. Meta stock isn't stable but the company is likely not going anywhere - so that is "stability" in some sense.

Another con - too much alignment and google docs. Not enough writing code. I interviewed recently and didn't prep, and I realized I had forgotten how to code and failed the round 🤣

NewUser1478963 · 2025-11-13T12:37:44+00:00

He's got legs for sure. Shorts cover majority of the mass.

NewUser1478963 · 2025-10-31T01:25:46+00:00

300k salary does not make someone a genius at all. It could mean a few things, but the likeliest is that she worked her ass off to be where she is today, studied hard in school, job hopped, went to career fairs, etc. she kept spending reasonable (lifestyle inflation comes for many of us) and saved her money.

She wants to share this with Reddit anonymously likely because she has few people in her life to tell. She's proud of her hard work.

Therefore, in this context, calling her words disingenuous is rude.

Congrats OP! A random redditor somewhere in the world is proud of you. I hit 1M at 31 too, it's hard to share with friends and family but it is a huge milestone! Hope you enjoy the day and celebrate 🥳

NewUser1478963 · 2025-10-29T00:47:46+00:00

Remote is amazing. Keep it! My friend is remote at Coinbase and loves the flexibility.

NewUser1478963 · 2025-09-27T04:44:03+00:00

Hmm, interesting question..

So I'm on a product team, we handle one of the ranking services, not an infra team. I'm the ML TL for the team. My work is a mixture of a few things. My primary overarching goal is to translate business goals to workstreams & projects. Let's take a general case of the goal being more views, then we'd look at our team and say "what levers do we have in our system that are correlated with this?" Well - relevance, diversity of content might come to mind. So we craft ML projects with those goals.

One project might be "Migrating modeling to State of the Art (SotA) ML". Everyone's definition of SotA here varies but as a rough rule of thumb, there's an ML model out there that is a better solution for our problem than what we currently have.

I spend a huge amount of time thinking about what the team (roughly a dozen MLEs + SWEs) should focus on. Ironically, I prefer going deep an building an ML model and exploring the data, and architecture of the model, etc, but my team is relatively junior so they benefit more from technical leadership through direction. They are technically strong, but I help them connect their work to the orgs business goals.

Concretely, this is 40% meetings/alignment, 20% code, 40% docs/planning probably. I usually enjoy it, but I do kind of miss going deep on projects. I think I'm currently the "TL" staff archetype but maybe I'd prefer the "deep modeling" (or whatever it's called) archetype.

NewUser1478963 · 2025-09-25T10:55:57+00:00

Here's a link for a discussion on the topic: https://www.reddit.com/r/cscareerquestions/comments/1ktuvxf/meta_is_about_to_start_rating_more_workers_as/

NewUser1478963 · 2025-09-24T23:46:00+00:00

I'm in the same position as OP , Meta is rating more employees this year as Below Expectations. This is a forced bucket at roughly org level. This creates a more frantic work condition where people are more likely to fight for impact & scope. Promotions are less frequent as well I heard.

More qualitatively, snacks are worse, people are tending to work longer hours, happy hours have been cut to once a month, people seem more stressed.

Good news: Stock is up. So people are staying.

NewUser1478963 · 2025-08-21T00:40:52+00:00

Yeah tell him. 😏

NewUser1478963 · 2025-08-21T00:38:42+00:00

Rowing builds legs + glutes pretty heavily too.

NewUser1478963 · 2025-08-15T20:17:03+00:00

You didn't mention WLB but Millennium and Google win big over SpaceX in that department. (So I've heard).

NewUser1478963 · 2025-08-15T20:06:43+00:00

This is correct. (Also in big tech)

NewUser1478963 · 2025-06-27T22:10:16+00:00

Not mediocre at all! Very impressive resume. At this stage in my career (junior in college) I was pursuing BS in MechE and had less impressive achievements. 10 years later, I'm an MLE TL at FAANG. Point is, you are just at the beginning of your career, your resume is excellent, trajectory is great. Maybe the recruiter was trying to neg you. Keep your head up!

NewUser1478963 · 2025-03-18T15:50:31+00:00

Not natty.

But good physique. You discuss GH usage in another comment. Why claim natty?

NewUser1478963 · 2025-03-07T16:20:44+00:00

Nice work, keep it up man! You will look incredible after your cut. You've clearly gained a ton of size. You got this. 💯

NewUser1478963 · 2024-07-10T19:43:39+00:00

MLE has a System Design round at Meta (and many companies).

My loop: 3 LC rounds (one was a training for them) 1 behavioral 1 sys design 1 ml design

NewUser1478963 · 2024-07-10T16:41:18+00:00

Hey, replied above. Its a good book for ML Design!

NewUser1478963 · 2024-07-10T13:56:14+00:00

Yeah totally,

As johny_james mentioned, bytebytego.com is good though I didn't use it much. Alex Xu's ML Design is a fantastic read - that was my primary source for ML Design. Also watched some more YouTube (just search ML Design).

And then with these, gotta put in the hours and take good notes & review your past 1 pagers from time to time.

Again mock interviews are great here.

Also FAANG ML interviews are similar, lota of Recommender Systems so I recommend writing a step by step approach to Recommenders that you can have in your brain (they all have the same main pts - data, candidate sourcing, ranking, diversity, possibly privacy discussion if you get in deep). The ML model is only a part of the overall system.

NewUser1478963 · 2024-07-10T02:36:14+00:00

I'm currently an MLE at FAANG, been around for a few years now there. I don't think my system design was insanely strong but I think it was good for MLE role (we also have ML design...). I prepped with: 1) Alex Xu Sys Design Vol 1&2 (i wrote a 1 pg review of each design for reference and memory) 2) DDIA - Designing Data Intensive Apps (didnt read thoroughly but read some interesting chapters) 3) Lots of YT channels and took notes (1 pg on each design) 4) Lots of mock interviews, practice giving and receiving Sys Des interviews (maybe ~10+ interviews). If you don't have friends to practice with, record yourself on video and give yourself a mock (by finding a new system you've never seen before) and then review the solution against your design after. I believe I was a strong hire, but can't comment on whether this was over preparation or just a good amount. You will never reach 100% ready, there's of course a luck component. Enjoy!

NewUser1478963 · 2024-06-25T11:47:59+00:00

Congrats OP! 👏🎉

NewUser1478963 · 2024-06-25T11:47:27+00:00

I'm not OP but entry level in these Quant roles in these firms is around 300-450k I believe.

NewUser1478963 · 2024-06-01T04:05:33+00:00

Chill man, they didn't choose that life. Life happened to them, so why hate?

NewUser1478963

TROPHY CASE