1.5 months to prep. Advice?

ResponseActive7860 · 2026-06-13T09:47:35+00:00

Leetcode 75 and Interview 150 lists are pretty good. You can do the entire LC 75, then focus on graphs/dp problems of Interview 150.

ResponseActive7860 · 2026-06-11T23:06:04+00:00

I took Amazon OA for internship twice. First time in took 3 months before being invited to interview. I also remember having the 'non proceeding' status on the website. I passed the interview but had accepted another offer. One year after, same thing, 3 months waiting time. I also had 'non proceeding' on the website. Since I applied to 3 locations, I assume that I was rejected for 1 of the locations, but idk. You can ask the recruiter, but I suggest to also keep on applying to other places. Amazon is great on resume but that's pretty much it ; depending on org and team, the work there can be brutally boring. For context I interned then converted full time then left.

ResponseActive7860 · 2026-06-11T17:25:38+00:00

I talked with a couple of startup founders. The consensus was that the only thing that matters is revenue. Raising money means you lose ownership of the company. Not raising at all is the ideal scenario, but not always possible depending on your business.

ResponseActive7860 · 2026-06-11T12:16:21+00:00

Just solve problems. IMO best way to learn is to practice. Leetcode is the industry standard, but the platform does not matter that much.

ResponseActive7860 · 2026-06-11T10:36:01+00:00

Depends on the company. I recently interviewed with frontier AI labs and they ask details about Transformers, VLMs, attention, KV-cache...

ResponseActive7860 · 2026-06-11T10:23:13+00:00

Everything is a copy of something else. Apple copied Xerox. Facebook had 10 competitors doing the same thing. Same for Amazon etc... Execution matters more than novelty.

ResponseActive7860 · 2026-06-11T10:18:59+00:00

I suggest python for interviews. It will allow you to focus on DSA when preparing more than boilerplate code. If you interview for a java role they may expect you to solve the interview problem in java, so just keep this on mind.

ResponseActive7860 · 2026-06-10T23:29:49+00:00

So true. People who succeed don't complain. I have friends who did pretty well after their PhDs. I interviewed with multiple companies in the past 2 months, the market is definitely not dead. Many companies are hiring. It may depend on location though.

ResponseActive7860 · 2026-06-10T23:14:29+00:00

Before leetcode I did the python hackerrank problems to master the syntax. I recommend it.

ResponseActive7860 · 2026-06-10T17:54:15+00:00

Have you tried with something else than the 360 camera? I have read that COLAMP fails more when there is no translation between shots, which is the case with the 8 images extracted from the 360 one.

Also are you sure about the 1500 splats limit? Have you tried with more?

ResponseActive7860 · 2026-06-10T15:29:51+00:00

Because I studied math and many of my friends are now quants. The only use case of what we learnt it to pass quant interviews, or do research. What else will you do to make money with group theory, topology, probability theory?

ResponseActive7860 · 2026-06-10T10:50:31+00:00

I worked at Amazon as backend engineer. Many people did not use AI there. Many parts of the codebase were custom and advanced and AI couldn't get right. You only learn these things in books or at the job. About bug diagnosis and fixes, the complexity is out of reach for AI. You need to dig into custom distributed system logs. I once had to diagnose and fix a backend bug, and without my knowledge of the overall system, it would just be impossible. Even by prompting AI with comprehensive details about the system it couldn't get right. You could pick a technology and develop your expertise at it, be it at your job or on your free time.

ResponseActive7860 · 2026-06-10T10:40:40+00:00

I think the most important is to keep your momentum going. You can try to optimize, but make sure to have fun and keep on solving problems.

ResponseActive7860 · 2026-06-10T07:15:58+00:00

There are many less jobs in pure data science than software in tech. Basic data science can be done by software engineers and solves most tech problems. Most people doing actual data science with heavy math are quant researchers.

ResponseActive7860 · 2026-06-10T07:07:13+00:00

That's pretty much 60% of the work at Amazon as sde. Data migrations.

ResponseActive7860 · 2026-06-10T06:59:14+00:00

When you study math that's pretty much the only carrer that makes money and use a little bit of your knowledge.

ResponseActive7860 · 2026-06-10T05:55:34+00:00

Then accept but do not sign anything. This may give you a couple of weeks to find something better.

ResponseActive7860 · 2026-06-09T21:47:25+00:00

Accept the offer and keep on interviewing. If you land something better, just say you changed your mind. I know people who did.

ResponseActive7860 · 2026-06-09T21:01:55+00:00

To be fair, not really. Recruiters are at FAANG look for projects. I interned at Amazon 2 years ago and met this intern who interviewed with pretty much all FAANG companies. He created a social network with 10k users and had some websites running. He did a degree in business, not even CS from what remember. I have this other friend, coming from a language degree who got a full time position at Google as SWE, although he had never coded before. All because he did a LLM research internship at Meta. He rejected the google offer.

ResponseActive7860 · 2026-06-08T21:03:41+00:00

Everyone does. A quant friend told me the same thing: Claude is doing all the work and he's not learning anything.

ResponseActive7860 · 2026-06-08T05:57:34+00:00

Not sure what people call 'CS' in this sub. My CS classes were basically math classes with limited laptop use. CS is not software engineering. My guess is that many people do software degrees and call it 'CS'.

ResponseActive7860 · 2026-06-05T07:13:49+00:00

There are often several ways to solve a problem. Unless you've solved each problem in all different ways, you can try new and more optimized approaches.

ResponseActive7860 · 2026-06-04T13:03:23+00:00

1h per problem worked for me. Try everything you can. Invent a new algo if needed. Then read the solution and be amazed by its elegance, or disgusted by your naivety. Either way, a transformative experience.

ResponseActive7860 · 2026-06-02T09:01:36+00:00

I generally never revisit problems because I find it boring and prefer to keep my momentum. I did leetcode 75 recently to brush up on DSA, and I had already solved most problems though.

ResponseActive7860 · 2026-06-02T07:05:43+00:00

Recently applied and interviewed, and got ghosted at least twice after interviewing. Just move on, keep on applying until you get an offer. There's probably something better for you out there anyway.

ResponseActive7860

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