Anthropic Interview Questions

Andy S. - "Functional requirements:\ Write a text query to the LGM through the API and get a generated answer;\ Provide context to the text query;\ For better conversation history handling, we leverage chat sessions. Questions:\ What is "sample" access? Is it access restricted by tokens/messages? Or by particular topic?\ Answer:\ I assume a "sample" means that Anthropic wants to give their secret model to specific companies to fix their own security bugs, with no restriction on tokens/messages/r"See full answer

Rishabh P. - "Step 1 — Clarifying questions (always start here) Before jumping to solutions, ask these three things: What type of product is it? Open-ended chatbot vs. task-oriented assistant? An open chatbot has the lowest risk appetite because the user can input anything. Assuming: it's a shopping assistant (like Rufus on Amazon). Is it stateful or stateless? A stateful chatbot stores memory across sessions, which makes PII handling critical. Assuming: Stateful What kind of safety are we"See full answer

Joshua K. - "Constrain is the inbound link, so the solution is to download the file once and then distribute it internally, rather than having every machine hit that link independently. So this may call for a central staging node and p2p distribution (bit torrent style)"See full answer

Debajyoti B. - "Firstly, it's mentioned "ideas" & not "idea". I would like to get more context. Is it one idea or multiple ideas on a roadmap? Is it tied to the same broader goal? Is this a pattern where team has been disagreeing with ideas for a while? If it's the 1st, then it's fine, we can look into it. If it's the 2nd, then it raises a bit of a concern. Gonna assume it's the 1st. I'd probably get clarity by asking questions To the team: Which idea/s are being disagreed upon? Are all member"See full answer

Alok S. - "Functional requirements: user can send an input and wait for the result Group up to 100 individual requests in to single GPU The system should should send results back to the user who requested it when done Non functional requirements: Minimize the waiting between two batches of execution/ reduce idle time error message if a batch faiils Scale to support multiple GPUs Core Entities: Request Batch Result API Design: POST /predict -> {requestid: "", response: ""} req"See full answer

Aabid S. - "We had a huge launch on September 1st of this year where we completely redesigned our application from the grounds up and also migrated to a new platform (React.JS). This project took us 8 months and the launch was a huge deal for the team. Unfortunately the launch wasn't as smooth as we expected and despite doing multiple rounds of QA, some major issues cropped up in the core part of the app right after launch and our client was quite upset since it was disrupting their day-to-day workflow. "See full answer

Bipin R. - "As you know, this is the most important question for any interview. Here is a structure I like to follow, Start with 'I'm currently a SDE/PM/TPM etc with XYZ company.... ' Mention how you got into PM/TPM/SDE field (explaining your journey) Mention 1 or 2 accomplishments Mention what you do outside work (blogging, volunteer etc) Share why are you looking for a new role Ask the interviewer if they have any questions or will like to dive deep into any of your experience"See full answer

Dhruv M. - "I was assigned to a project where the executive team said they wanted to "improve customer satisfaction" but provided no specific metrics, target outcomes, or scope. The initial brief was vague; they mentioned customer complaints were increasing, but hadn't quantified the problem or identified which customer segments or processes were involved. My responsibility was to lead the analysis and develop a solution; however, first, I needed to transform this ambiguous directive into a clearly defined"See full answer

Umang S. - "Scenario - I had joined a product in my current company as a PM midway through its development. It is a very sensitive product with a major public services company. As the product was close to its go-live date, it had to go through many checks and many signoffs. A couple of them were through data policy department and the platform department, of which we were using all of the components for our product. We needed policy sign off to authorise the use of data to understand user interactions and"See full answer

Alfred O. - "We can use dictionary to store cache items so that our read / write operations will be O(1). Each time we read or update an existing record, we have to ensure the item is moved to the back of the cache. This will allow us to evict the first item in the cache whenever the cache is full and we need to add new records also making our eviction O(1) Instead of normal dictionary, we will use ordered dictionary to store cache items. This will allow us to efficiently move items to back of the cache a"See full answer

Ashley C. - "I follow a variation of the RICE framework when prioritizing how I ship product features. I start by looking at: Reach: Because the customer segmentation across our product portfolio is so similar, I tend to hold a lot of weight on product features that will maximize our customer reach with a minimal LOE. Impact: After establishing which customer segments will benefit from the product feature, I determine the urgency and estimated impact on each customer segment based on customer i"See full answer

Nathan B. - "There are many good answers to this that AI scientists around the world, I and my coworkers have tried over the years. For one, RAG is a great option to fact-check and enforce citation generation, update the data in the knowledge base of the generative AI, etc. "See full answer

Tian H. - "to add! health assistant! remind me to do physical check, aggregate my health info including sleep, physic check results. ...."See full answer