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Staff+ Software Engineer, Claude Science

Anthropic currently lists the Staff+ Software Engineer, Claude Science opportunity in San Francisco, CA on its public Greenhouse job board. The official posting provides a direct application route.

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Anthropic San Francisco, CA, Canada Verified 2 weeks ago
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Overview

Anthropic currently lists the Staff+ Software Engineer, Claude Science opportunity in San Francisco, CA on its public Greenhouse job board. The official posting provides a direct application route.

Full job description

Official role information

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2>About the role</h2> <p>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. Claude Science is a big part of building toward that future.</p> <p><a href="https://www.anthropic.com/news/claude-science-ai-workbench">Claude Science</a> is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has defined yet.</p> <p>You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our internal research team to push model capabilities into production, and carries real ownership over what we ship next.</p> <p>Our north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. This work supports programs like Anthropic’s <a href="https://www.anthropic.com/news/ai-for-science-program">AI for Science Program</a> and <a href="https://www.anthropic.com/news/rare-disease-research-grants">our rare disease research grants</a>.</p> <h2>What you'll do</h2> <ul> <li>Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed</li> <li>Interface directly with working scientists — academic labs, industry R&amp;D teams, and research institutes — during key conversations, translating what you learn into engineering priorities</li> <li>Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into shipped product</li> <li>Work closely with research to make the models better at science: shaping evals, surfacing failure modes, and feeding what users hit in the real world back into model development</li> </ul> <h2>You may be a good fit if you</h2> <ul> <li>Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level</li> <li>Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on</li> <li>Have built AI products and know what it takes to turn model capabilities into applications people actually use</li> <li>Are comfortable working directly with technical domain experts and translating what you learn</li> <li>Drive cross-team alignment to ship impactful work, with influence over authority</li> </ul> <h2>Strong candidates may also have</h2> <ul> <li>Background in chemistry, biology, physics, or another science</li> <li>Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p> <p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$405,000</span><span class="divider">&mdash;</span><span>$485,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2> <p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p> <p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p> <p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p> <p><strong>Location-based hybrid policy:</strong> 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.</p> <p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate.…

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