Why Join an AI Safety-Focused Lab, and What Is Your View on AI Safety?

You are interviewing for a senior software engineering role at Anthropic, an AI company that places AI safety at the center of its public mission. Before the technical rounds, a recruiter call covers your motivation and outlook, and it includes two questions: > Why Anthropic? > > What is your view on AI safety? Answer both as you would in a short, conversational call. There is no single correct opinion. The recruiter is listening for whether your reasons are genuine and specific, and whether you can explain a considered position clearly. ### Clarifying Questions - How much time is there for these two questions, and is the rest of the call about logistics or about my background? - For the safety question, do you want my view of the risks themselves, or also how I would contribute to safety as an engineer rather than as a researcher? - Is familiarity with specific safety research expected at this stage, or is a well-reasoned non-specialist view enough? ### Part 1 — Why Anthropic Explain why you want to join this company in particular, in a senior engineering role, rather than another AI lab or a different kind of company. ```hint Specific beats flattering Praise such as "cutting-edge models" or "smart people" fits every lab. Connect one specific thing you know about this company's public work or choices to something specific in your own experience or goals. ``` #### What This Part Should Cover - Reasons that are specific to this company rather than to AI work in general - A link between those reasons, the candidate's own background and the senior engineering role - Motivation that holds up under a probing follow-up, such as "what else are you considering?" ### Part 2 — Your view on AI safety Give your own view on AI safety: which risks you think are important, how seriously you take them, and what you think should be done about them. ```hint A position, with its reasons A list of buzzwords cannot be evaluated. Say which risks you think matter most and why, where you are uncertain, and how engineering work connects to reducing them. ``` #### What This Part Should Cover - A working definition of AI safety and a ranked view of the risks the candidate finds most important - Reasoning and calibrated uncertainty rather than slogans, alarmism or dismissal - Where software engineers, not only researchers, contribute to safety - Awareness of the tension between safety and the pace of building and shipping ### What a Strong Answer Covers - Two concise, conversational answers, each with a clear main point - Consistency between the motivation in Part 1 and the safety view in Part 2 - Honesty: no overclaimed knowledge of the company or the research field, and real views rather than echoed messaging - Evidence of having engaged with the company's public materials - Senior framing: what the candidate would contribute, not only what they admire ### Follow-up Questions - What is one thing about how AI companies, this one included, approach safety that you disagree with or are unsure about? - Tell me about a time you argued for a slower, safer path on a project, or accepted a faster one. How did you decide? - Which AI risks do you think get too much attention, and which get too little? - If you do not join us, where would you want to work instead, and why?