Staff+ Software Engineer, STEM

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...

Summary and match are AI-generated; verify details on the original posting.

Listed via Greenhouse. All sources