The Anthropic SWE Interview Guide
See how Anthropic runs its Member of Technical Staff loop: every round, what each one tests, and what each level pays. Then drill the questions candidates report from recent loops, from practical debugging to a values round that carries real weight.
- Loop length: 2 to 4 weeks
- Expected difficulty: Medium to hard
- Coding style: Practical, debugging
- Values: Heavily weighted
Anthropic levels & pay
- Member of Technical Staff (L3, Entry)
- Member of Technical Staff (L4, Mid)
- Senior MTS (L5, Senior)
- Staff MTS (L6, Staff)
- Principal (L7, Principal)
The Anthropic SWE interview, round by round
Recruiter screen (30 min · call)
The opening conversation. Your recruiter confirms your background, the level you are targeting, and your timeline, but a large part of this call is motivation: why Anthropic, and how you think about the company's mission and its safety focus. A thin or generic answer here reads as a poor fit before any code is written.
- Have a real "why Anthropic" answer. Mission and safety motivation genuinely count here, so speak to why this lab specifically, not just any frontier AI job.
- Anchor your level early. Where you position yourself between MTS levels sets how hard the rest of the loop runs, so be deliberate about it.
- Know your comp range. The negotiation window opens here, and a vague answer can cap the offer later.
Technical screen (60 min · shared editor)
One practical coding round with an Anthropic engineer. The signature of this stage is that it often hands you existing code to read, debug, and extend rather than a blank editor and a puzzle. Communication counts as much as the fix: clarifying the behavior, narrating your reasoning, and reasoning through edge cases out loud is what separates a clear pass from a borderline call.
- Practical over puzzle. Expect to work inside real-looking code, find the bug, and extend it cleanly, rather than derive a clever one-liner from scratch.
- Correctness and readability win. Code you can explain and defend beats a fragile optimum you cannot walk through.
- Reason out loud. Talk through the trade-offs as you go; silent coding hides exactly the signal they are trying to score.
Onsite loop (3 to 5 rounds · virtual)
The core evaluation: several back-to-back interviews, each about an hour. It pairs more coding with a design round, which may be a classic system design or an ML-systems design depending on the team, and a hiring-manager round on scope, ownership, and how you work. You need to be ready for all three shapes, not just the one you are strongest at.
- Coding, again and harder. More practical problems, sometimes ML or RL flavored, with edge cases handled unprompted and code you can extend under follow-ups.
- A design round. Design a real service or ML system end to end: data flow, APIs, scaling, and failure handling, with trade-offs you can defend. Depth beats naming technologies.
- The hiring-manager round. Focused on ownership in ambiguity, how you scope under-specified work, and how you collaborate. Bring concrete examples with your exact role in the outcome.
Values and collaboration round (45 to 60 min · virtual)
A dedicated round that Anthropic weights heavily. It probes safety-mindedness, honesty about what you do and do not know, and how you actually work with other people, especially when there is disagreement or uncertainty. It is not a warm-up chat: a strong technical loop can still stall here if the answers feel evasive or misaligned with how the company operates.
- Safety-mindedness is a real bar. Show that you think about downside, misuse, and the consequences of what you ship, not only whether it works.
- Honesty over polish. Admitting the limits of a past decision reads far better than a spotless story that sounds rehearsed.
- Collaboration is scored. Bring specific examples of disagreeing well, changing your mind on evidence, and getting to a shared answer.
Debrief and offer (1 to 2 weeks after)
Your interviewers meet to make the call, weighing the technical rounds together with the values and collaboration signal. Consistency across the loop matters: because the values bar carries real weight, a strong coding performance paired with a weak or evasive values round can sink an otherwise good loop. Decisions typically land within one to two weeks.
- Values signal is weighted with the technical bar. A brilliant coding loop with a thin values round still stalls in the room.
- Consistency beats a single standout. A steady loop clears the bar more reliably than one great round next to a weak one.
- Decisions take one to two weeks and can stretch during team-match steps or hiring pauses.
How hard is the Anthropic interview?
Difficulty mix: 9% easy, 72% medium, 19% hard.
How to prepare
Keep a daily coding rhythm (Weeks 1 to 4)
Code every day, but bias toward how Anthropic actually screens: practice reading and debugging unfamiliar code, extending it cleanly, and handling edge cases, not just solving blank-editor puzzles. Start at medium and climb, always timed and always explaining your reasoning aloud.
Sharpen your "why Anthropic" and values stories (Weeks 1 to 2)
Draft these early so you have weeks to rehearse. Write a genuine motivation for this lab specifically, then prepare concrete stories about safety-minded decisions, honestly-handled mistakes, and disagreeing well, each with your exact role and the outcome.
Layer in design reps (Weeks 2 to 3)
Once coding is warm, add design. Work through several full designs end to end, scoping, data flow, APIs, scaling, and failure handling, and include at least one ML-systems flavored problem since some teams lean that way. Say each decision aloud and prepare for trade-off follow-ups.
Run full mock loops (Week 4)
In the final stretch, put it together: sit complete loops back to back, coding, design, and a values and collaboration round in one session, so your focus and your answers hold across several interviews in a row.
Recently asked
Implement an LRU cache
About Anthropic
Anthropic is an AI safety and research company based in San Francisco. It builds Claude, a family of frontier large language models, and its stated mission is to ensure that as AI systems become more capable, they remain safe, steerable, and aligned with human interests. Research on interpretability, alignment, and responsible scaling sits at the center of what the company does.
Because safety is the organizing principle rather than an afterthought, engineering at Anthropic is tightly coupled to research: the systems that train, serve, and evaluate large models are core products in their own right. That coupling is why the loop leans on practical systems judgement and a values bar that carries genuine weight, alongside strong coding.
Frequently asked
How many rounds is the Anthropic interview?
Typically five stages: a recruiter screen, a technical screen, a virtual onsite loop of three to five rounds, and a dedicated values and collaboration round, then the debrief and offer. The onsite mixes coding, a design round, and a hiring-manager round.
How hard is the Anthropic SWE interview?
Medium to hard. Of the questions Karavine tracks, most sit at medium with a smaller share rating hard. The coding bar is beatable with focused practice, but the practical, debugging-heavy style and the heavily weighted values round catch candidates who only drill algorithms.
How much does the values and mission fit matter at Anthropic?
A lot. There is a dedicated values and collaboration round, and its signal is weighted alongside the technical rounds in the debrief. A strong coding loop with a weak or evasive values round can still fail, so it is not a formality.
Do I need a machine learning background to interview at Anthropic?
Not for most software roles. Many teams hire strong generalist engineers, and some design rounds may be ML-systems flavored rather than requiring deep ML theory. That said, comfort reasoning about how large models are trained, served, and evaluated helps, and some teams weight it more.
What is the Anthropic coding interview like?
Practical and often debugging-oriented. Rather than a blank editor and a puzzle, you are frequently given existing code to read, fix, and extend, sometimes with an ML or RL flavor. Correctness, readability, and clear reasoning out loud matter more than a clever one-liner.
Does Anthropic ask system design?
Yes, there is a design round in the onsite loop, weighted more heavily at senior levels. Depending on the team it may be a classic system design or an ML-systems design. Expect to scope a real service end to end and defend your trade-offs under follow-ups.
What is the Anthropic Member of Technical Staff (MTS) salary?
Total compensation is competitive with other frontier labs, combining a strong base with substantial equity and, at earlier levels, a year-one sign-on. Levels range from entry MTS up to Principal. Use the estimator above to model your own offer by level and location.
Is there an online assessment for Anthropic?
Some loops include a take-home or timed coding assessment before or alongside the technical screen, though it varies by team and role. Treat any assessment as a real round: the practical, extend-this-code style shows up here too.
How does Anthropic weight safety in interviews?
Safety-mindedness is an explicit part of the values round. Interviewers look for candidates who think about misuse, downside, and the consequences of what they ship, not only whether the code runs. It reflects how the company operates day to day.
How long does the Anthropic interview process take?
Usually two to four weeks from recruiter screen to onsite, then one to two weeks for the debrief and decision. Timelines can stretch during team-match steps or hiring pauses.
Does Anthropic hire remote engineers?
Anthropic is San Francisco centered and many roles are in-office or hybrid there, with some presence in New York, Seattle, and London and some remote roles in the US. Remote availability depends heavily on the specific team and role, so confirm with your recruiter.
What does Anthropic look for in the behavioral and collaboration round?
Honesty, safety-mindedness, and genuine collaboration. Bring concrete examples of admitting what you did not know, changing your mind on evidence, and disagreeing well to reach a shared answer. Polished but evasive stories score worse than honest ones.
How should I prepare for the Anthropic interview?
Practice reading and debugging unfamiliar code rather than only blank-editor puzzles, prepare a real "why Anthropic" and honest values stories, drill a few full designs including an ML-systems one, and run complete mock loops. Karavine's Anthropic pack is exactly this plan with worked solutions.
What is Claude and why does it matter for the interview?
Claude is Anthropic's family of frontier large language models and the company's core product. You do not need to have built one, but understanding at a high level how such models are trained, served, and evaluated helps you engage credibly in design rounds and motivation questions.
Can I reapply to Anthropic after a rejection?
Yes. As with most companies, a waiting period of several months is typical before reapplying to a similar role. Use the gap to close the specific gaps the loop surfaced, especially if the values or design round was where it stalled.
What coding topics does Anthropic focus on?
Core data structures and algorithms delivered in a practical way: reading and extending code, hash maps, trees, graphs, and careful edge-case handling, with some problems carrying an ML or RL flavor. Most questions sit at medium difficulty, with a smaller share of hard ones in the tougher rounds.
Anthropic interview questions on Karavine