machine-learning Interview Questions
3 interview questions in our bank cover machine-learning, most of them ML Fundamentals & Algorithms. They average 3.3/5 difficulty — medium — and each one was reported by a candidate after a real interview. Companies known to ask about machine-learning: Nextdoor, eBay, Woven Planet.
Practice these on the problems board →Companies that ask about machine-learning
Question mix
- ML Fundamentals & Algorithms3
Difficulty
- 3/5 — medium2
- 4/5 — hard1
Questions tagged machine-learning
Analyzing Recent Machine Learning Paper Contributions and Applications
3/5This interview discussion prompt from Nextdoor assesses a candidate's engagement with current literature and practical applications in artificial intelligence. You will need to articulate the core innovations, methodology, and real-world implications of a modern research publication you have recently studied. The exercise evaluates your ability to communicate complex concepts clearly and connect theoretical breakthroughs to product use cases. Reviewing sample discussions, high-impact paper suggestions, and expert commentary requires an active subscription.
ML Fundamentals & AlgorithmsNextdoorBuild a Simplified Image-Text Retrieval Training and Evaluation Pipeline
4/5In this multimodal machine learning challenge reported from eBay, candidates must construct a training and evaluation pipeline for cross-modal product retrieval using images and descriptive text. The task evaluates your ability to combine pre-trained visual and textual encoders, map embeddings into a shared latent space, and compute relevant similarity metrics. Access to the comprehensive prompt, evaluation setup, and reference implementation is exclusively available to subscribers.
ML Fundamentals & AlgorithmseBayImplement K-Means from Scratch
3/5This machine learning fundamentals task, featured in interviews at Woven Planet, asks you to build the popular unsupervised clustering algorithm completely from scratch. You will process multi-dimensional data points to iteratively assign cluster memberships based on proximity and centroid updates within a specified iteration limit. The challenge evaluates your understanding of distance metrics, vector math, and iterative model convergence without relying on built-in machine learning libraries. Unlock the complete problem guide and clean implementation code with a subscription.
ML Fundamentals & AlgorithmsWoven Planet
machine-learning interview FAQ
- How many machine-learning interview questions are there?
- 3 reported questions, mostly ML Fundamentals & Algorithms.
- Which companies ask machine-learning questions?
- Nextdoor (1), eBay (1), Woven Planet (1).
- How hard are machine-learning questions?
- They average 3.3 out of 5: 2 at 3/5, 1 at 4/5.