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• Of the locations listed on the job posting, which one are you most interested in working from for your 25% time in-person?
  Select...San Francisco, CARemote-friendly (travel required)New York, NYLondon, UK
• Resume/CV ✱
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• Full name✱
• Pronouns
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• Email✱
• Phone
• Current location
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• Current company

Links

• LinkedIn URL
• Publications (e.g. Google Scholar) URL
• GitHub URL
• Website URL

Open Response Questions

• Why do you want to work at Anthropic? (We value this response highly - great answers are often 200-400 words.)✱
• In one paragraph, provide an example of something meaningful that you have done in line with your values. Examples could include past work, volunteering, civic engagement, community organizing, donations, family support, etc.✱

Team Matching

• Which teams or projects are you most interested in? (Note: if none of the teams you select are hiring, we won't proceed with your application at this time, although we may reach out if those teams open roles in the future.)
  • Pre-training — The Pre-training team trains large language models that are used by our product, alignment, and interpretability teams. Some projects include figuring out the optimal dataset, architecture, hyper-parameters, and scaling and managing large training runs on our cluster.
  • AI Alignment Research — the Alignment team works to train more aligned (helpful, honest, and harmless) models and does “alignment science” to understand how alignment techniques work and try to extrapolate to uncover and address new failure modes.
  • Reinforcement Learning – Reinforcement Learning is used by a variety of different teams, both for alignment and to teach models to be more capable at specific tasks.
  • Platform – The Platform team builds shared infrastructure used by Anthropic's research and product teams. Areas of ownership include: the inference service that generates predictions from language models; extensive continuous integration and testing infrastructure; several very large supercomputing clusters and the associated tooling.
  • Interpretability — The Interpretability team investigates what’s going on inside large language models — in a sense, they are trying to reverse engineer the concepts and mechanics from the inscrutable learned weights of these systems. Their goal is to ensure that AI systems are safe by being able to assess whether they’re doing what we actually want, all the way down to the individual neurons.
  • Societal Impacts — Our Societal Impacts team designs and executes experiments that evaluate the capabilities and harms of the technologies we build. They also support the policy team with empirical evidence.
  • Product — The Product research team trains, evaluates, and improves upon Claude, integrating all of our research techniques to make our AI systems as safe and helpful as possible.
• What’s your ideal breakdown of your time in a working week, in terms of hours or % per week spent on meetings, coding, reading papers, etc.?

(Optional) Personal Preferences

• How do you pronounce your name?

Logistics

• Are you legally authorized to work in the country in which the job you are applying for is located?✱
  • Yes
  • No
• Will you now or in the future require visa sponsorship for employment at Anthropic?✱
  • Yes
  • No
• Are you open to working in-person at our office several days a week?✱
  • Yes
  • Not open to several days a week, but I am open to 25% in-office hybrid policy
  • No, I want fully remote work or will otherwise not be able to fulfill the 25% in-office requirement
• When is the earliest you would want to start working with us?
• Do you have any deadlines or timeline considerations we should be aware of?
• Policy on using AI to assist in your application - While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process. We want to understand your personal interest in Anthropic without mediation through an AI system, and we also want to evaluate your non-AI-assisted communication skills. Please indicate ‘Yes’ if you have read and agree to this.✱
  • Yes
  • No
• If you're not already based in one of our hub cities, are you willing to relocate? (Check all that apply)✱
  • Yes, to the San Francisco Bay Area
  • Yes, to Seattle
  • Yes, to New York City
  • Yes, to London
  • No. I am open to hybrid roles, but not roles that require relocation.
  • I already live in one of your hub cities.

Demographic Survey