Anthropic Machine Learning Interview Questions
These are the 9 Anthropic machine learning interview questions AceOffer has reconstructed from candidate reports, sorted by how often each was reported. Debug GRPO / RL Training Code leads at 4×. Every question shows when it was last reported; the catalog refreshes monthly.
Part of the full catalog of Anthropic interview questions, covering every round.
Key facts
- •9 distinct machine learning questions indexed
- •17 candidate reports across those questions
- •Most reported: Debug GRPO / RL Training Code — 4× (last seen March 2026)
- •Refreshed monthly · last updated October 2026
Which Anthropic rounds ask machine learning questions?
The Anthropic rounds below are where these questions come up. Counts are distinct questions, not times asked.
Most reported: NumPy Debugging — 4×
Which Anthropic machine learning questions get asked most?
Sorted by candidate-report frequency. Click any question for the full breakdown.
| Question | Round | Reported | Last seen |
|---|---|---|---|
| Debug GRPO / RL Training CodeFree Asked in the round Anthropic and candidates both call "RL Fundamentals". Given a simplified but complete GRPO (Group Relative Policy Optimization) training… | MLE | 4× | March 2026 |
| NumPy Debugging A 60-minute proctored CodeSignal OA (second of two rounds) in which you are given an existing Python/NumPy codebase — specifically a tree-based… | MLE | 4× | May 2026 |
| Data Batcher with Weighted Sampling You are given a DataRegistry implementation (provided in a notebook environment) that exposes an interface to retrieve an iterator over samples for… | MLE | 2× | April 2026 |
| Neural Network Forward and Backward Pass Implementation Implement a simple multi-layer neural network entirely from scratch (no deep learning frameworks). You must write: (1) a forward pass computing pre-activations… | MLE | 2× | July 2025 |
| Multi-layer Pattern Performance with Memory Constraints You are given two matrices of dimensions m×k and k×n. On an NVIDIA A100 40GB GPU (with its published specs provided), calculate… | MLE | 1× | September 2025 |
| A100 Matrix Multiplication Performance Modeling You are given two matrices of dimensions (m×k) and (k×n) and an A100 40GB GPU with its hardware spec sheet. Using a… | MLE | 1× | September 2025 |
| LLM-Based Binary Classifier Design You are given a helper function that accepts a batch of text inputs and returns the token log-probabilities for each input. Using… | MLE | 1× | July 2025 |
| Attention Algorithm Implementation in PyTorch The interviewer presents a custom (non-standard) attention algorithm — not the standard scaled dot-product attention — and asks the candidate to implement… | MLE | 1× | July 2025 |
| Sample-Aspect Double Descent Experiment Design Given a 4-hour take-home assignment (deliverable: presentation slides), complete three tasks: (1) Design and run an experiment that empirically demonstrates the sample-aspect… | MLE | 1× | April 2026 |
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