Editorial, AI for Science

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Every day, more and more researchers across the world use Claude for scientific discovery and we get closer to the vision outlined in Machines of Loving Grace. To support Anthropic’s mission of supporting science with AI, we recently launched AI for Science and the Claude for Life Sciences programs. Now, we are bringing on an experienced science communicator to produce editorial content that amplifies our work in and for the sciences, demonstrates AI’s potential and progress, and engages the public in this critical effort.

About the role

You'll shape how Anthropic communicates with the world about AI and science. This will involve writing (and other communication) about advances and announcements in our scientific programs, as well as the production of long and short-form content that engages audiences and informs them about how AI is changing scientific research. To do this, you’ll need to have excellent technical understanding of the scientific questions at hand and how AI can potentially be applied to solve them, as well as stellar writing and communication skills.

About the Editorial team

The Editorial team is responsible for shaping how Anthropic communicates about AI—from digital and printed publications to public events. Our goal is to build understanding about both the opportunities and challenges of advanced AI systems. The Editorial team collaborates extensively with partner teams across the organization.

Role Responsibilities:

• Create engaging written (and other) content about Anthropic's AI for Science work
• Collaborate with teams across the org to identify compelling angles and stories from their work
• Help to build audiences among scientific researchers, policymakers, and the AI-interested public about how AI is affecting, and could affect, scientific progress
• Liaise with external scientific researchers to learn about how they’re applying AI in their research
• Work with the wider communications team and our brand/creative colleagues to develop creative, exciting, unexpected multimedia content (and a broader strategy for this work)
• Contribute to Anthropic's thought leadership in AI research, AI progress, and AI safety discussions, with particular reference to AI for Science.

You may be a good fit if you:

• Have a proven track record of writing about technical or scientific topics for broad audiences
• Have strong creativity/flair for new ways to communicate complex ideas without sacrificing accuracy
• Possess deep knowledge of the recent history of “AI for Science”, the current limitations of the method, and its promise for the future
• Have clear for how Anthropic can differentiate itself from other AI developers when discussing this topic
• Have an exceptional ability to quickly master technical subjects
• Have experience working directly with researchers or technical experts to develop content, and excel at finding compelling narratives within technical work
• Care deeply about AI safety and responsible technology development
• Enjoy collaborating with multiple teams and managing multiple projects
• Are comfortable adapting your writing/communications style for different audiences and formats
• Apply critical thinking and analysis to all aspects of communications

Strong candidates may also have:

• An advanced degree in a biomedical or other scientific discipline
• Direct experience of using AI models to contribute to scientific research
• A portfolio demonstrating creative approaches to technical communication
• Experience with multimedia content development
• Experience with developing longer-term content strategies
• A track record of building engaged audiences around technical content

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary: $200,000 - $255,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process