Uber Machine Learning 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."
Implement CLIP Contrastive Loss
Given a minibatch of paired image and text embeddings, implement the symmetric contrastive loss used in CLIP-style image-text representation learning....
Evaluate Promotions for Uber Eats Users
This question evaluates a data scientist's causal inference and experimentation competencies—including randomized trial design, treatment-effect estim...
Explain and test completion-rate gaps
In a food delivery marketplace, alcohol-related orders have a lower order completion rate than non-alcohol orders. Answer the following: 1. Propose se...
Build cold-start restaurant ratings
This question evaluates a data scientist's ability to design a production-ready predictive modeling approach for cold-start ratings, testing competenc...
Predict driver acceptance
This question evaluates a candidate's competency in designing and operationalizing an end-to-end machine learning solution for predicting driver accep...
Implement linear and logistic regression
Explain and implement linear regression and logistic regression from scratch. Your answer should cover: - The prediction function for each model - The...
Implement Streaming Clustering for Numbers
You receive a continuous stream of numeric values. Choose an appropriate clustering algorithm and implement it so that each incoming number can be ass...
Build and assess CTR prediction
CTR Prediction with Delayed Feedback and Extreme Class Imbalance You are building a model to predict the probability that an ad impression results in ...
Implement Multi-Head Self-Attention
This question evaluates understanding of multi-head self-attention and the competency to implement transformer attention modules using learned Q/K/V p...
Design a ride-hailing ETA system
This question evaluates competency in applied machine learning and data science, including ETA system and product design, feature and label engineerin...
Optimize Surge Notifications for Rideshare Drivers
Optimize Surge Notifications for Rideshare Drivers Scenario A rideshare marketplace experiences airport demand spikes. When demand exceeds supply, the...
Explain XGBoost depth, regularization, and dropout
ML Conceptual Questions (Onsite) Answer the following: (a) Gradient-boosted decision trees: How does maximum tree depth affect bias/variance, overfitt...
Implement 1D convex minimization in Python
Question Implement, in Python, an algorithm that minimizes a 1D black-box convex function F(x) over a closed interval [a, b]. Assume F is convex (henc...
Diagnose location-sorted recommender causing revenue drop
This question evaluates skills in diagnosing production recommender systems, causal inference and experimentation, multi-objective ranking and safe ex...
Build and deploy an uplift targeting model
This question evaluates a candidate's ability to design and deploy uplift/causal targeting models, covering causal inference, uplift estimation, pre-t...
Design a Ride-Hailing ETA System
You are a Data Scientist at a ride-hailing company. Design an ETA system used in the rider and driver apps to estimate both pickup ETA and trip ETA. D...
Design ETA prediction for Uber rides
System Design: Real‑Time Pickup and Drop‑off ETA Prediction Context: You’re designing an end‑to‑end system that predicts pickup and drop‑off ETAs at t...
Select the better $5 promo-targeting model
Coupon Targeting Under a Daily Budget: Policy, OPE, Calibration, and Monitoring Context - You have two user-scoring models for a $5 coupon: M0 (curren...
How would you build UberEats ranking?
This question evaluates machine learning and recommender-systems competencies for ranking in a food delivery marketplace, covering problem formulation...
Model Driver Acceptance Probability
This question evaluates a candidate's competency in production machine learning system design and operationalization, including label definition and u...