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."
Answer Behavioral Leadership Questions
This question evaluates leadership and behavioral competencies for a software engineering role, including ownership, judgment, communication, prioriti...
Answer Product DS HR Screen
You are preparing for a 30-minute HR screening interview for a Product Data Scientist role at Shopify. Prepare strong, structured answers to the follo...
Describe Over-Engineering and UX Wins
After a project deep dive, the interviewer asked two behavioral questions: 1. Describe a time when you designed or implemented something that became m...
Explain what happens when you run ls
In Linux, explain the end-to-end flow of what happens when a user types ls in a shell and presses Enter. Include: - What the shell does - How the exec...
Build an LLM-driven text-game agent
This question evaluates a candidate's understanding of integrating large language models into interactive agents, including prompt design, game-state ...
Generate Weighted Random Keys With Add And Remove
Design a class that stores string keys with positive integer weights. add_key(key, weight) inserts or updates a key. generate() returns one key random...
Compute specialty spend share and top age band
You are given healthcare claims data split across member tables. Tables Assume the following schemas (types may be adapted to your SQL dialect): mem1 ...
Design a large-scale distributed rate limiter
This question evaluates system design competency in distributed systems, focusing on scalability, multi-tenant isolation, rate-limiting algorithms, co...
How to validate production models?
This question evaluates a candidate's competency in production model validation, covering model risk assessment, data and label quality, time-dependen...
Support String Membership and Random Sampling
Support String Membership and Random Sampling Design an in-memory collection initialized from a set of strings. It must support: - contains(value) -> ...
Describe your strongest project
What is the most impressive project you have worked on? In your answer, cover: - The problem/business goal and why it mattered - Your specific role an...
Explain RL policy types and modern policy gradients
This question evaluates understanding of reinforcement learning policy types and modern policy-gradient techniques (TRPO, PPO, GAE) alongside attentio...
Design feedback-driven recommender
Design feedback-driven recommender Design: Contextual Bandit Recommendation with Online Learning You are designing an online learning recommendation s...
Which Dice Game Wins More Often: One Six in 4 Rolls, or Double Sixes in 24 Rolls?
You are offered two dice games and asked to decide which one gives you a better chance of winning. - Game 1: Roll one fair six-sided die 4 times. You ...
Implement Autoregressive Decoding in PyTorch
Implement an autoregressive text-generation function in PyTorch. You are given a language model that, for an input tensor of token IDs, returns logits...
Explain Core ML Fundamentals
This question evaluates mastery of core machine learning fundamentals—loss functions and derivatives, regularization and overfitting mitigation, activ...
Analyze trading RFQ competitiveness data
This question evaluates a candidate's skills in exploratory data analysis, Excel-based feature engineering, basic statistical modeling, and interpreta...
Justify and harden your analytics and BI stack
List your current analytics tech suite end-to-end (ingestion, storage/warehouse, transformation, orchestration, catalog/lineage, experimentation platf...
Plan and analyze a ranking A/B test
Experiment Design: New Search Ranking Feature Context You are designing, running, and analyzing an online controlled experiment to evaluate a new sear...
Design video-ads experiment and handle null results
You are launching a new video-ad format. Design an end-to-end A/B test to evaluate it against the current ad format. Be precise: 1) Define exposure an...