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Meta
Machine Learning Engineer
Meta·Posted 3 months ago · Jan 2026

I got feedback that I performed well on the coding interviews even when I did not feel like I performed up to a requisite level, so I think the bar has more flexibility than we may give ourselves credit for.

Verified5 rounds8 questions
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Google
AI Engineer Intern
Google·Posted 3 months ago · Jan 2026

It was an internship role, AI engineer. First was an online coding round on arrays and strings where I had to return a palindromic subsequence, and later they asked dynamic programming and a linked list hard question.

Verified4 rounds3 questions
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Waymo
Machine Learning Engineer
Waymo·Posted 3 months ago · Dec 2025

I was definitely caught off guard because I was expecting more of a LeetCode type of question, and instead they showed a diagram about obstacles colliding and wanted me to figure out which one was bigger and where the force would move.

Verified7 rounds7 questions
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Anthropic
ML Engineer, Prompt Engineer
Anthropic·Posted 3 months ago · Nov 2025

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.

Verified5 rounds6 questions
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Anthropic
Machine Learning Engineer
Anthropic·Posted 3 months ago · Oct 2025

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.

Verified5 rounds2 questions
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Anthropic
AI Safety Fellow
Anthropic·Posted 3 months ago · Oct 2025

The weirdest part was the final round: they dropped me into a Google Colab notebook with maybe 20 to 30 lines of skeleton Python and asked me to debug an actual LLM inference step, but you were explicitly not allowed to use an LLM.

Verified3 rounds3 questions
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LangChain
Deployed Engineer
LangChain·Posted 3 months ago · Sep 2025

I had some serious issues in my demo, and 10 minutes later the COO called and basically said, “Yeah, that demo did not go well, but we think you can do the job, so why don’t you try again next week?”

Verified3 rounds2 questions
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OpenAI
Research Engineer
OpenAI·Posted 3 months ago · Jul 2025

The coding plus ML stats round was the hardest by far. They basically asked me to implement an all_gather on noisy nodes, derive how many rounds you’d need for a target error, then figure out a better algorithm using the fact you’re transmitting floats.

Verified6 rounds1 question
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Harvey AI
Principal MLOps Engineer
Harvey AI·Posted 3 months ago · Jul 2025

I ended up pitching this quantum ML architecture where we were training models on quantum hardware to do something as stupidly simple as predict whether a number was even or odd, and Harvey’s panel got weirdly fascinated by the remote coding environment I built for physicists.

Verified5 rounds1 question
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Exponent

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