Anthropic is one of the most selective employers in AI — and one of the most interesting. If you're wondering how to get a job at Anthropic, the short answer is that technical skill is necessary but not sufficient. Their mission shapes who they hire more than almost any other company in the space.
What Makes Anthropic Different
Anthropic was founded by former OpenAI researchers who wanted to take a more safety-focused approach to building powerful AI. That mission — responsible development and maintenance of advanced AI for the long-term benefit of humanity — is not marketing. It filters into how they hire.
Candidates who do well tend to be genuinely interested in the hard questions: What makes AI systems safe? How do you build for a future you're uncertain about? What does "beneficial" actually mean?
Candidates who struggle are often technically strong but dismissive of these concerns, or haven't thought seriously about them at all.
Roles at Anthropic
Anthropic's main hiring areas include:
- - Research — Alignment, interpretability, model evaluation, safety research
- - Engineering — ML engineering, infrastructure, product engineering
- - Product — Claude-related product work, enterprise, API experience
- - Policy — Government affairs, trust and safety, responsible scaling
- - Operations — Finance, legal, recruiting, people ops
Research hiring is the most competitive and typically requires prior ML research experience (a strong PhD, papers, or verifiable research contributions). Engineering roles are somewhat more accessible but still highly selective.
The Hiring Process
- Application — Anthropic gets a high volume of applicants. A tailored cover letter that engages with their mission specifically helps. Generic letters get screened out.
- Recruiter call — Assessing background fit and interest alignment. Expect questions about why safety AI specifically.
- Technical interviews — Coding and ML fundamentals for engineering. For research, expect a paper review discussion or a research problem.
- Values and judgment interviews — Anthropic runs structured interviews assessing how you think through ambiguous situations and ethical tradeoffs. These are not soft — prepare for them like a technical screen.
- Reference checks and offer — Deep reference checks, especially for senior and research roles.
Full loops typically run 4-6 weeks.
What Anthropic Looks For
Epistemic honesty. Anthropic has a strong culture of intellectual humility and rigorous thinking. They value people who can say "I don't know" and reason carefully from there.
Long-term thinking. They ask candidates to think through scenarios years or decades out. This isn't just an interview exercise — it reflects how the company thinks about its work.
Research curiosity (even for non-research roles). Being familiar with recent alignment and interpretability work — even at a conceptual level — signals genuine interest.
Comfort with uncertainty. A lot of Anthropic's work involves hard problems with no clear answers. People who need certainty to function tend to struggle.
How to Prepare
Read the core alignment research: RLHF, constitutional AI, mechanistic interpretability. You don't need to be an author, but you should understand what they're working on and why.
Think through your own views on AI risk. Anthropic doesn't require any particular position, but they do want people who have considered the question seriously.
Build relevant technical work. Interpretability experiments, safety benchmarks, or fine-tuning projects that relate to Anthropic's research agenda are strong portfolio items.
Get into the extended AI safety community. The EA and AI safety communities overlap significantly with Anthropic's hiring network. Engaging genuinely — not for networking purposes, but because the ideas are interesting — tends to create the relationships that lead to referrals.
You can track Anthropic's live job listings alongside 45+ other leading AI companies at [AICareerBoard](https://aicareerboard.com).