Anthropic
AI safety and research company behind Claude, focusing on constitutional AI.
5 Rounds
~20 Days
Very Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Machine Learning Engineer
•
Coding
•
medium
Write a Python function to sample from a logits distribution using top-k and top-p (nucleus) sampling.
#Sampling
#Probability
#PyTorch
Machine Learning Engineer
•
Technical
•
hard
Explain the mathematical formulation of RLHF (Reinforcement Learning from Human Feedback). Specifically, how does the PPO objective function work, and what are the common failure modes when fine-tuning a large language model?
#RLHF
#PPO
#Model Alignment
#Optimization
Machine Learning Engineer
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Technical
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medium
Explain the differences between Rotary Positional Embeddings (RoPE), ALiBi, and absolute positional embeddings. Why are relative positional embeddings preferred in modern LLMs?
#Transformers
#Positional Encoding
#LLM Architecture
Machine Learning Engineer
•
Technical
•
hard
What is Direct Preference Optimization (DPO) and how does it compare mathematically and practically to PPO?
#DPO
#RLHF
#Loss Functions
Machine Learning Engineer
•
Technical
•
hard
What is the Gumbel-Softmax trick, and in what scenarios would you use it in language modeling or reinforcement learning?
#Generative Models
#Reparameterization
#Math
Difficulty Radar
Based on recent AI-sourced data.
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The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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Think Out Loud
Always explain your thought process before writing code or drawing architecture.