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Anthropic interview notes, page 8 of 32

Mid-sized

Most of these Anthropic write-ups come from Software Engineers (277), then Machine Learning Engineers (31) and Product Managers (10). The most reported rounds are the technical phone screen (129), the system design round (86), the behavioral / leadership round (45) and the hiring manager screen (17).

319 interview notes · updated Sep 2026

Anthropic·Software Engineer·Take-home Assignment

May 2026
Anthropic gave me a take-home for a Research Engineer role: reproduce double descent experimentally, explain the theory, and propose a fix, all in a slide deck. Four hours, which sounds reasonable until you're actually in it.
  • Design and run an experiment that reproduces sample-wise double descent, where test error peaks near the interpolation threshold and then decreases again as the model-to-data ratio crosses it.
  • Provide a theoretical explanation for why double descent occurs, using the bias-variance decomposition of the least-squares estimator and the behavior of the design matrix spectrum near the interpolation threshold.
  • Propose and demonstrate a method to mitigate the double descent peak, both experimentally and analytically.

“Linear regression with varying sample count is the obvious setup and I went with it.”

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Anthropic·Software Engineer·Technical Phone Screen

May 2026
Anthropic systems design round, focused on a web crawler problem that eventually turned into a concurrency deep dive. The threading vs multiprocessing angle was more involved than I expected.
  • How would you parallelize a web crawler, and what are the trade-offs between multithreading and multiprocessing in Python for this kind of task?

“Started okay talking about IO-bound vs CPU-bound as the core distinction, which it is.”

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Anthropic·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Behavioral round at Anthropic for a software engineer role. Pretty much one big question about career goals and culture fit, which sounds easy until you're actually trying to connect your five-year plan to an AI safety company's mission without sounding like you just read their about page.
  • Where do you see your career going long-term, and how does this role at Anthropic fit into that path? Use examples from past work to show how you've collaborated across diverse teams and aligned with a company's culture.

“This tripped me up more than I expected.”

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Anthropic·Software Engineer·Onsite - System Design / Architecture

May 2026
Anthropic SWE interview that was basically one big system design conversation built around something you'd actually shipped. The depth they pushed for was real, not surface level.
  • Walk me through a project you owned from start to finish that actually made it to production.
  • How would you extend that system to run across multiple regions, and eventually globally?
  • How would you shard the data in that system?
  • What does it look like to actually operate this thing long-term? How do you keep it reliable and sustainable as it scales?

“Good opener to ease in, but it's a trap if you pick something too simple.”

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Anthropic·Software Engineer·Onsite - Coding / Algorithms

May 2026
Coding round at Anthropic for a software engineer role. Just one question but it covered two things at once, which made it a bit more involved than expected.
  • Given a dataset, find both the mode and the median.

“Two stats in one problem.”

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Anthropic·Software Engineer·Technical Phone Screen

May 2026
Interviewed for a SWE role at Anthropic. Just the one question I can remember clearly, and it's the kind of thing that sounds straightforward until you're actually in the room trying to answer it.
  • How do you balance shipping quickly with security concerns?

“This tripped me up more than I expected.”

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Anthropic·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Behavioral-style round at Anthropic for a software engineer role, focused entirely on past project experience. Pretty standard format but the depth they expected on trade-offs was more than I anticipated.
  • Walk me through one or two past projects: what was your role, what technical challenges did you face, what trade-offs did you make, and what were the outcomes?

“I picked two projects but probably should've gone deeper on one.”

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Anthropic·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Behavioral question from what looks like an Anthropic SWE loop. Just the one question shared, values-focused, pretty standard for a company that leans hard into mission and ethics stuff.
  • Can you describe a time when you went out of your way to stand up for a value or principle you believed in?

“This is the kind of question where you think you have a good answer until you start saying it out loud.”

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Anthropic·Software Engineer·Technical Phone Screen

May 2026
Project deep-dive round at Anthropic for a software engineering role. You pick a project, present for about 20 minutes, then brace yourself for a pretty thorough grilling on every decision you made.
  • Walk us through a project you've worked on, covering the design, your specific contributions, and the results it achieved.
  • What alternatives did you consider when making the key design decisions in your project, and why did you go the direction you did?
  • What did you personally contribute to this project versus what the broader team did?
  • What would you do differently if you were starting this project over, and what did you learn from it?

“The presentation part felt fine but the follow-up is where it gets real.”

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Anthropic·Software Engineer·Technical Phone Screen

May 2026
Anthropic software engineer interview with a grid word search problem, the multi-word variant where you're expected to build a trie and prune during DFS rather than searching per word independently. Pretty classic hard-level coding question but the constraint details matter a lot here.
  • Given an m x n grid of letters and a list of words, find all words from the list that can be formed by tracing a path through adjacent cells (horizontal/vertical only) without reusing any cell in a single word. Return results sorted lexicographically with no duplicates.

“The naive approach of running a DFS per word is fine for small word lists but the problem explicitly says the list can be huge, up to 30k words.”

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