Google Machine Learning Engineer Interview Questions
Master your tech interview with our curated database of real questions from top companies.
Explain ML model fundamentals
Comprehensive ML Concepts: Logistic Regression, Naive Bayes, Transformers, Multi-class Metrics, Bagging vs Boosting Context You are interviewing for a...
Design feedback-driven recommender
Design: Contextual Bandit Recommendation with Online Learning You are designing an online learning recommendation system. At each user interaction: - ...
Discuss dissertation and supervision
Behavioral Interview: Dissertation Overview and Supervisor Collaboration Context You are in an onsite behavioral and leadership round for a Machine Le...
Explain GRPO-style training for diffusion models
You are given a pretrained image diffusion model that generates images conditioned on text prompts (e.g., a text-to-image model). You now want to fine...
Design ML system for self-driving perception
You are interviewing for a Senior Machine Learning Engineer role on a self-driving car team. They ask you to design a machine learning system for obst...
Solve meeting scheduling and robot cleaning tasks
You are given two independent coding problems. --- Problem 1: Prioritized Meeting Scheduling You are asked to schedule meetings in a single meeting ro...
Describe conflict and failure using STAR framework
You are in a behavioral interview for a software/ML engineering role. The interviewer asks you to: 1. Describe a time you faced a significant conflict...
Design a real-time recommendation system
You are asked to design a real-time recommendation system for a large-scale consumer product (for example, recommending items or content to users in a...
Design data structure similar to LRU cache
You are asked to design and implement a data structure that behaves similarly to an LRU (Least Recently Used) cache, but with a small variation: - The...
List regularization methods and trade-offs
Question: Compare Regularization Techniques and When to Use Them Context: You are interviewing for a machine learning engineering role and are asked t...
Explain transformer architecture and variants
Technical Screen: Explain the Transformer Architecture Scope Provide a structured deep-dive into Transformers. Your explanation should cover theory, s...
Design a reaction-factor prediction system
End-to-End System Design: Predicting a Reaction Factor from Molecule Pairs Context and goal - You have a tabular dataset with columns: - molecule1_n...
Describe your proudest project
Behavioral prompt: Describe the project you are most proud of (Machine Learning Engineer) Provide a concise, technical, leadership-focused walkthrough...
Generate values by weighted probabilities
Weighted Random Sampling Generator (Streaming) You are given: - A list of distinct integers values. - A matching list of nonnegative probabilities (we...
Implement a robust Python generator
Given a list of integers, write a Python generator that yields the integers from the list while handling edge cases such as None values, empty input, ...
Explain modeling challenges and fixes
Model Development Challenges: Detection, Alternatives, Solution, Evidence Context: In a technical screen for a Machine Learning Engineer, you are aske...
Design multi-GPU matrix multiplication
Multi-GPU MatMul (2 GPUs): Design and Implementation You are given two GPUs connected via NVLink or PCIe. You must compute C = A × B where: - A is sha...