Updated by Anthropic candidates
Machine Learning Engineer Interview Experience
Interview process
The process is kind of cold. All tasks are performed on codesignal. You are basically do the assignment by yourself with the computer and camera on.
- Online assessment
- Take-home project
Interview rounds
2 questions across 2 roundsOnline assessment
1 questionSpecific questions asked
Leetcode style python coding
Take-home project
1 questionSpecific questions asked
Paper-related reasearch problems
Interview tips
Be familar with leetcode and basic ML coding. You need to fast and efficient. Finish all the tasks in the limited time is necessary.
Company culture
I don't know yet. But the style was very direct: “Shut up and show me the code.” No small talk, no theory, no fluff.
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More Anthropic interview experiences
“The culture fit round was so deep it was almost like therapy for me. I talked about pushing back on executive pressure to launch on a timeline and raising it up to chief counsel to make sure the data was correct.”
“They gave me a simulation where I had to imagine deploying a conversational AI model that reasoned across sensitive topics, and during internal testing it started giving overly confident but factually wrong answers in high risk contexts.”
See all 4 Anthropic Machine Learning Engineer interview experiences →
