Machine Learning Engineer Software Engineering Fundamentals Interview Questions
Practice 23 real Software Engineering Fundamentals interview questions for Machine Learning Engineer roles. From companies including OpenAI, Microsoft, Amazon, Anthropic, Applied.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Design an advertiser metrics tracking platform
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Debug a Concurrent Job Scheduler
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Explain KV cache in Transformer inference
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Analyze matrix multiplication complexity
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Explain multithreading vs multiprocessing
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What are processes vs threads?
Question Explain the difference between multiprocessing and multithreading in the context of building concurrent applications. Cover the following: - ...
Design a Tennis Scoring System
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Design an Extensible Simulation Engine
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Design Ordered CUDA Reduction
In CUDA, a parallel reduction can produce different results if the combination order is not fixed, especially for floating-point arithmetic where addi...
How would you improve card-type detection?
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Build an LLM-driven text-game agent
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How do you interpolate in 3D?
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Debug and scale a PyTorch training loop
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Debug a Transformer bug in an unfamiliar repo
You are given an unfamiliar GitHub repository that implements a Transformer model. The interviewer claims there is a bug causing one of the following ...
Explain Python and Systems Fundamentals
Answer the following software engineering fundamentals questions: 1. A production system has become very slow. How would you detect the bottleneck, me...
Optimize Tensor Runtime Kernels
You are responsible for optimizing an ML framework runtime on an accelerator. A model has high latency and occasional memory pressure. Explain how you...
Explain what torch.distributed.barrier does
Question In PyTorch distributed training, what does torch.distributed.barrier() do? Follow-ups - Give an example of when you would use it. - What are ...
Explain a project deeply
Prepare for a deep technical retrospective on one of your past projects. The interviewer may ask you to explain: - the problem you were solving - your...
Compute precision/recall from a flaky top-k API
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Explain Transformer, GPT vs BERT, and PR metrics
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