Machine Learning Engineer + Data Scientist + Software Engineer Interview Questions
Practice the exact questions companies are asking right now.
"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."
Why do transformers struggle with long context?
In a transformer-based model, why is it difficult to process very long input context? Explain the main challenges in terms of computation, memory usag...
Design LLM search handling long token inputs
Design an LLM-powered search and question-answering system over a large corpus of documents such as internal wikis, PDFs, logs, contracts, and web pag...
Evaluate Arithmetic Expressions
This question evaluates understanding and implementation of expression parsing, operator precedence, tokenization of numeric and operator tokens, and ...
Design a Scalable Like Counter
This question evaluates a candidate's competence in large-scale system design, covering scalability, high-throughput write handling, read-optimized co...
Explain HashMap Resizing Without Long Pauses
Explain how a hash map works internally. Cover how keys are mapped to buckets, how collisions are handled, and when the table decides to resize. Follo...
Optimize trade PnL table updates
This question evaluates understanding of incremental aggregation and state management, including handling overlapping predicates, caching expensive or...
Design a REST GET API to fetch DB records
This question evaluates a candidate's competency in RESTful API design, HTTP semantics, database querying and schema considerations, pagination and fi...
Explain process vs thread and memory-sharing risks
This question evaluates a candidate's understanding of OS concurrency fundamentals, specifically the distinction between processes and threads, memory...
Detect and address multicollinearity
Prompt You fit a linear/logistic regression model and suspect multicollinearity among features. 1. What is multicollinearity and why is it a problem? ...
Implement Multi-Level In-Memory Services
Implement the following independent multi-level in-memory service simulations. In an interview, you may receive one scenario and unlock the levels seq...
Solve checksum and dependency debugging tasks
This question evaluates skills in string processing, modular arithmetic-based checksum computation and mapping, plus debugging of feature enablement l...
Solve Two OA Algorithm Problems
These problems evaluate algorithmic optimization and graph connectivity competencies, specifically cost-constrained integer resource allocation for th...
Compute Sentence Similarity
Given two text inputs, design and implement a method to compute their semantic similarity. You may use either of the following approaches: 1. Encode e...
How do you learn new knowledge quickly?
Behavioral questions 1. How do you learn new knowledge/technology quickly? Provide a concrete example. 2. What was the most challenging project you wo...
Solve several streaming, DAG, and DP tasks
This multi-part question evaluates proficiency in streaming and online algorithms, DAG-based scheduling and parallelism reasoning, and constrained dyn...
Forecast bikes available at a station
This question evaluates proficiency in time-series forecasting, feature engineering, handling temporal data splits, and incorporating operational cons...
Match payments to invoices with fallback rules
This question evaluates a candidate's ability to design robust record-matching logic that handles identifier-based matches, fallback heuristics, and n...
Debug online worse than offline model performance
This question evaluates the ability to diagnose discrepancies between offline and online model performance by reasoning about data distributions, feat...
Answer core Python, CS, DB, and testing questions
This multi-part prompt evaluates core software engineering competencies including Python fundamentals (OOP, object/model behavior, iterators/generator...
Design first-time Kubernetes deployment in new cloud
This question evaluates system design and cloud platform engineering skills focused on first‑time Kubernetes deployment, covering account bootstrappin...