Staff+ Software Engineer, STEM

The posting, as Anthropic wrote it

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.

About the role

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Bringing Claude to scientists and engineers is a big part of building toward that future.

Claude has already helped uncover a novel enzyme system , formalize Fermat’s Last Theorem , design more efficient quantum circuits , and compute new results in theoretical physics — and this is just the beginning. You’ll figure out what scientists and engineers need from Claude and build it from 0→1.

You’ll be a technical leader with a high degree of autonomy, helping clear the path to harnessing scientific AGI. You’ll work with internal experts and industry partners. Initiatives like our AI for Science Program will connect you with researchers we support in high-impact work across scientific fields.

Key responsibilities

• Build products that unlock scientific discovery
• Partner with product management, design, and go-to-market to make complex workflows, like modeling and simulation, simple to run with Claude
• Work closely with research to make models better at science and engineering
• Spend time with users in academia and industry to decide what to build next
• Own technical design and delivery end to end, shipping product quickly rather than just executing a spec

Minimum qualifications

• Software engineering experience, including owning the technical design and delivery of products
• Experience building products from 0 to 1 in fast-moving environments, and setting technical direction with limited precedent to lean on
• Experience building AI products, and knowledge of what it takes to turn model capabilities into applications people actually use
• Ability to think holistically about user experience and craft tools that are a pleasure for scientists and engineers to use
• Comfort working directly with technical domain experts and customers, and turning what you learn into product
• Enjoyment of solving hard problems together with researchers, scientists, and other engineers

Preferred qualifications

• 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
• Background in math, physics, materials science, mechanical or electrical engineering, or another science or engineering field
• Experience building software for scientists or engineers, such as CAD, simulation, electronics design, or scientific computing tools
• Experience as a founder or early engineer at a company building tools for scientists or engineers
• Experience working with research teams t

[…]
n our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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.