Join the team
making AI safe

We’re a public benefit corporation headquartered in San Francisco. Our team’s experience spans a variety of backgrounds and disciplines, from physics and machine learning to public policy and business. We work as a cohesive team that collectively forecasts the impact and tractability of research ideas in advancing our mission.

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What We Offer

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Health & Wellness

At Anthropic, we believe that supporting our employees is crucial to our collective success and wellbeing. That's why we offer a range of benefits to best support you and your family, now and in the future.

  • Comprehensive health, dental, and vision insurance for you and your dependents
  • Inclusive fertility benefits via Carrot Fertility
  • 22 weeks of paid parental leave
  • Flexible paid time off and absence policies
  • Generous mental health support for you and your dependents
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Compensation & Support

Our goal is to foster an environment where you can thrive professionally while feeling confident that you and your loved ones are taken care of.

  • Competitive salary and equity packages
  • Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
  • Robust retirement plans and salary sacrifice programs with market competitive matching
  • Life and income protection plans
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Additional Benefits

  • $500/month flexible wellness and time saver stipend
  • Commuter benefits
  • Annual education stipend
  • Home office stipends
  • Relocation support for those moving for Anthropic
  • Daily meals and snacks in the office

How We Hire

The interview process at Anthropic varies based on role and candidate, but our standard process looks like this:

Step 1

Resume

Submit your resume via our website.

Step 2

Exploratory chat

You’ll have a chat with one of our staff to discuss your career interests and relevant experience, and learn more about Anthropic.

Step 3

Skills Assessment

  • For technical roles, you’ll have a one-hour technical screening interview.
  • For operations or policy roles, you’ll get a take-home assignment. These typically involve writing responses to several role-relevant questions; they may occasionally require some outside research. Assignments usually take between 2-5 hours, depending on the role.
  • We include this to minimize bias and make well-informed hiring decisions. We think seeing a candidate’s work helps us assess how they might actually perform on the job; similarly, the assignment gives candidates a better idea of what their work at Anthropic might entail. If a candidate likes working through their take-home, that is one indicator that they would enjoy taking on the role, and vice versa.
  • We recognize that completing work assignments requires time and effort, and that they are not perfectly reflective of the role’s work. Nonetheless, we think that work tests are a useful complement to interviews and reference checks.

Step 4

Team Screen

You'll have a conversation with either the Hiring Manager or a member of your potential team.

Step 5

Interview Panel

  • For technical roles, you’ll have 3-4 more one-hour technical interviews, plus a culture interview.
  • For operations or policy roles, you’ll have 3-5 hours of interviews, including a culture interview.

Step 6

Final Checks

We’ll ask for some references, and have you chat with our leadership.

Step 7

Offer

We’ll make you an offer!

Technical Interviews

The novel challenges we think about at Anthropic demand diverse expertise and perspectives. Our interview process is designed to identify thoughtful candidates who bring unique strengths to our multidisciplinary team. If you think this may describe you, we’d love to hear from you regardless of your background or experience.

One of the most common questions we get is about whether it is worth applying to work at Anthropic if you have not worked on modern machine learning systems in the past. Yes! For some roles, ML experience is expected, but many technical staff have arrived at Anthropic with no machine learning experience. If you aren’t sure about the ML experience needed for your role, ask your recruiter.

We use shared environments like Colab and Replit for our programming-focused interviews. We’ll be very interested in how you think through each problem and analyze the tradeoffs between possible approaches, and we’ll also expect you to write, run, and debug your solutions. You’ll be allowed to look things up in documentation or on the web, just like you usually can (which is why we’ll ask you to share your screen throughout each interview); but it’s still important to be familiar with basic syntax, standard libraries, and common idioms in the language you’re interviewing in, so that looking things up doesn’t consume too much time. Your interview process will also include non-technical questions about your experience and what motivates you, and, of course, you’ll have time to ask us about Anthropic! We can’t wait to meet you.

Other Things

Engineers here do lots of research, and researchers do lots of engineering

While there’s historically been a division between engineering and research in machine learning, we think that boundary has dissolved with the advent of large models. The distribution of candidates we interview is strongly bimodal in both engineering and research experience however, and we have necessarily tailored our interview structure to that.

  • If you’ve an engineering background, please apply as an engineer. You’ll perform much better in the interviews, and if you join you’ll have as much input to Anthropic’s direction and interests as anyone else.
  • As evidence towards this: all of our papers have engineers as authors, and often as first author. Research and engineering hires all share a single title - ‘Member of Technical Staff’.

We value direct evidence of ability

If you’ve done interesting independent research, written an insightful blog post, or made substantial contributions to open-source software, put that at the top of your resume!

Feedback

We do not provide feedback on resumes or interviews.

Visas

Anthropic sponsors visas! We aren't able to sponsor them for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

Green cards

Once you’re eligible, we’re also keen to sponsor green cards!

We do not require PhDs, degrees, or previous ML experience

About half of Anthropic technical staff have a PhD of some sort; about half had prior experience in ML. We have several brilliant colleagues who never went to college.

Remote interviewing

All our interviews are conducted over Google Meet. We prefer PST office hours, but we can be flexible if that’s difficult for you.

Re-applying

Similarly, if interviews don’t work out this time, you’re welcome to re-apply after 12 months, and earlier if something materially changes about your experience or skills.

Remote work

Anthropic staff all come to the office regularly. Most staff live in the Bay Area, though a few live further away and come in for one week a month. We also understand that moving can take time, so as a transitional phase some folks start while fully remote.

Offer timing

If we make an offer, we’re happy to give you time to think about it and finish up any other interview processes you’re going through.

Internships

We do not offer internships.