AI Engineer

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. Claude Science is a big part of building toward that future. Claude Science [https://www.anthropic.com/news/claude-science-ai-workbench] 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. 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. 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 AI for Science Program [https://www.anthropic.com/news/ai-for-science-program] and our rare disease research grants [https://www.anthropic.com/news/rare-disease-research-grants]. WHAT YOU'LL DO * 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 * Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conversations, translating what you learn into engineering priorities * Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into shipped product * 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 YOU MAY BE A GOOD FIT IF YOU * Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level * Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on * Have built AI products and know what it takes to turn model capabilities into applications people actually use * Are comfortable working directly with technical domain experts and translating what you learn * Drive cross-team alignment to ship impactful work, with influence over authority STRONG CANDIDATES MAY ALSO HAVE * Background in chemistry, biology, physics, or another science * Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks The annual compensation range for this role is listed below.  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. Annual Salary: $405,000—$485,000 USD LOGISTICS Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. 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 [http://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 [https://www.anthropic.com/candidate-ai-guidance] for using AI in our application process.

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is used by more than half of the Fortune 500 companies to power their mission-critical initiatives. Enterprise customers leverage Airtable to build sophisticated apps, and orchestrate deep, end-to-end workflows. As we continue to scale, our teams are building the systems to ensure the security and governance of our customer’s data - from secure handling of file attachments to enterprise key management. These are advanced systems that provide robust security measures to protect our user’s data.  We are seeking Engineering Managers to join our product engineering pillar to lead the Admin & Governance team, focused on scaling product experiences for our biggest customers. As AI becomes central to Airtable, enterprise customers need governance controls that let them adopt AI confidently, with granular feature enablement, capability-based restrictions, and full admin visibility. The Admin & Governance team is building that control plane – the AI Governance framework that gives admins those controls at every level of the enterprise. This work builds on the team's deep ownership of Airtable's enterprise trust infrastructure: the Admin Panel, SSO, audit systems, and User Groups that power governance for our largest customers. We're looking for a leader who can drive the AI Governance roadmap, scale the team's existing enterprise trust systems, and directly unblock adoption for our largest customers. Please note: while we employ a hybrid working model at Airtable (flexible in working from the office or elsewhere), we are looking to hire candidates at this level that are based in San Francisco who are open to coming into the office at least ~2-3 times/week for team collaboration. WHAT YOU'LL DO * Lead, manage, and grow a team of high-functioning engineers that are in charge of our systems and frameworks. * Partner with engineering leaders to drive technical decisions and initiatives to build products in a high-quality and sustainable way.  * Nurture a team of passionate and capable engineers. Partner with senior engineers to multiply their impact, and coach & grow early-career engineers. * Partner with cross-functional peers including product and design to come up with and execute against short and long term strategy and plans for the team. * Implement processes to help the team scale and be productive, while allowing for agility to accommodate the dynamic environment that we operate in. WHO YOU ARE * 5+ years experience as an engineer (previously in a staff or TL level IC position) and 2+ years as a manager, or a similar combination.  * Strong customer focus and experience working closely with Product Managers to define products, manage tradeoffs, and drive adoption with customers. * Experience with navigating large systems. * Experience leading high performing engineering teams in a fast paced environment * Experience in growing and mentoring engineers. * Experience in managing, organizing, and prioritizing multiple projects and work streams. Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant [https://drive.google.com/file/d/1jAj2by1bto5g8Xqn9hWNAwPOMGNd_fM6/view?usp=sharing].  VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form [https://airtable.com/shrq13fCV8h1sx2t8] and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. ---------------------------------------------------------------------------------------------------------------------------------- Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable [https://airtable.com/careers/life-at-airtable]. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is: $281,000—$365,700 USD Please see our Privacy Notice for details regarding Airtable’s collection and use of personal data relating to the application and recruitment process by clicking here [https://www.airtable.com/company/personnel-privacy-notice]. For applicants that live in or have a link to Australia, please see this Privacy Collection Statement [https://www.airtable.com/company/job-application-privacy-statement] for details regarding Airtable's collection and use of personal data relating to the application and recruitment process. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com [hr@airtable.com]. Learn more about avoiding job scams here [https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first].