MLE and research tracks replace one or both coding rounds with ML system design and a project deep dive.
Questions Meta asks in this round 11
Design a harmful content detection systemML designDetect harmful posts (hate, violence, self-harm, spam) across text and images, with high recall on severe harms and a path to human review.
Last asked Aug 2026
Design a large-scale recommendation system end to endML designDesign a recommendation system from scratch. When a user opens a surface, it picks a short, ordered list of items out of a very large catalog that changes all the time, and it…
Last asked Jul 2026
Design a nearby places recommendation systemML designDesign the ML system that recommends places to visit (restaurants, shops, attractions) to a user in a maps or local-discovery product. The user may be on the move, so location and…
Last asked Mar 2026
ML fundamentals deep dive for ML rolesML designAfter a short walk through your resume, expect fast questions on machine learning basics, usually centred on your own area (language models, vision, recommendations). For each…
Last asked Jun 2026
Design an image copyright-violation detection systemML designDesign a system that detects when users upload images that infringe someone's copyright on a large social platform. Discuss where the reference set of protected images comes from…
Last asked Feb 2026
Design a notification ranking systemML designMany products send notifications to the same user: new products, friends' activity, results of advertisers' campaigns and more. Design the ML system that decides which…
Last asked Jan 2026
Design an ads ranking system with calibrated predictionsML designDesign the system that ranks ads for a user, using predicted click and conversion probabilities together with advertiser bids. Because the predictions feed an auction, they must…
Last asked Jan 2026
Design comment ranking for a news feedML designDesign the ML system that decides which comments to show, and in what order, under posts in a news feed. Discuss the objective (meaningful conversations, not only likes), the…
Last asked Dec 2025
Design a large-scale MoE pretraining pipelineML designDesign the training setup for pretraining a mixture-of-experts language model across many GPUs. Cover how experts and other layers are parallelized, token routing and load…
Possibly retired
Design an asynchronous RL post-training systemML designDesign a system for post-training a large language model with reinforcement learning where generation (rollouts) and training run asynchronously. Cover how rollout workers and…
Possibly retired
Design a model that predicts posts a user will dislikeML designDesign a model for a news feed that predicts which posts a user would dislike or hide, so ranking can show fewer of them. Cover the labels (explicit negative feedback is rare)…
Possibly retired
Question types
Meta ML design interview: questions and format · Land the Lab