Uber Machine Learning Engineer Interview Questions
Landing a role at Uber means getting comfortable with the specific scope of Uber Machine Learning Engineer interview questions and the company’s emphasis
"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....
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...
Describe an ML system you built
Describe a machine learning system that you previously designed, built, or owned. Cover the problem statement, business goal, data sources, feature en...
Present a Marketplace ML Project Deep Dive
In a Machine Learning Engineer interview for a pricing, marketplace, or growth team, present a recent representative ML project. Your deep dive should...
Design a feed ranking system
Design a machine-learning-based feed ranking system for a consumer product. The system should rank candidate posts or items for a user's home feed in ...
Design a restaurant recommendation system
Question Design a restaurant recommendation system for a food delivery marketplace such as Uber Eats. When a user opens the home page, the system shou...
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 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...
Answer leadership questions on tradeoffs and collaboration
Behavioral / Leadership Questions Answer using specific examples from your experience. 1. Project deep dive: Walk through a recent project end-to-end ...
Design real-time grid ETA for drivers
Real-Time Grid-ETA System Design You are tasked with designing a real-time system that maintains the remaining ETA for every driver currently located ...
Describe past impact and conflict handling
Behavioral and Leadership: AI Function Calling End-to-End + Conflict Resolution Context You are interviewing for a Machine Learning Engineer role. 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...
Analyze sales with groupby
You are given three pandas DataFrames representing a food delivery marketplace: - orders(order_id, product_id, quantity, unit_price, status) - product...
Count connected delivery zones
Given an m x n grid representing a service area, each cell is either 'Z' (deliverable zone) or '#' (blocked). Two 'Z' cells belong to the same zone if...
Compute currency conversion via graph search
Given a list of currency pairs, e.g., [('USD','CAD'), ('CAD','EUR'), ...], and a parallel list of conversion ratios [1.1, 1.2, ...] where ratio r mean...
Choose K pickup locations minimizing L1 distance
Coding: K Shuttle Pickup Locations (L1) You are given the coordinates of N people on a 2D grid. You want to open K shuttle pickup locations (pickup po...
Design room progression with leaderboard
Design a data structure to simulate a sequence of rooms where players solve tasks and can move only to the next room once finished. Support the follow...
Find a Black-Box Convex Function Minimum
You are given access to a black-box function F(x): each call returns the function value at a real number x. You are also given a search interval [a, b...
Implement a Referral Revenue Tracker
Implement an in-memory revenue tracking system for customers in a referral network. Each customer has their own direct revenue. A customer may also ha...