Research Engineer, Economic Research Data Platform
$300k - $405kGravity Engineering Services Pvt Ltd.
- Research Engineer, Economic Research Data PlatformJob Type / Location: San FranciscoExperience Required: 3+ yearsAnthropic'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.As a Research Engineer on the Economic Research Data Platform team, you will design, build, and maintain critical infrastructure that powers Anthropic's research on AI's economic impact. You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis.The Economic Research team is part of the Anthropic Institute, and studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data, including the Anthropic Economic Index, for the benefit of the public - helping policymakers, businesses, and workers understand and navigate the transition to powerful AI. The questions we work on include: how is AI changing jobs and economic activity, who is adopting it and why, and what determines whether a region or industry captures value from it.In this role, you will work closely with teams across Anthropic - including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy - to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting and implementing high-quality internal infrastructure, working in a fast-paced environment, and navigating ambiguity.Responsibilities:Build and operate the data pipelines that turn raw usage data into clean, reusable, privacy-preserving datasetsDesign new systems - including developing classifiers, training probes on model internals, and building the ML pipelines behind them - for understanding how Claude is used and the impact it's having on the economyBuild self-serve workflows to ingest and integrate external data sources so they're interoperable with internal datasetsDevelop the APIs, libraries, and interfaces that serve data to researchers and the publicPartner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic's safety missionContribute to the team roadmap, documentation, and practices that enable self-serve data access while maintaining safety and governance standardsEnsure data reliability, integrity, and privacy compliance across all economic research data infrastructureYou might be a good fit if you:Have significant experience building data-intensive applications, pipelines, or internal tooling in productionHave experience with cloud infrastructure platforms such as AWS or GCP, and take pride in writing clean, well-documented code in Python that others can build uponHave intuition for analytics workflows and empathy for how researchers and data scientists workAre comfortable making technical decisions with incomplete information while keeping engineering standards highHave a "full-stack mindset", not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job descriptionHave strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertiseCare about the societal impacts of your work, and are interested in AI's economic implicationsBonus qualifications:Experience with modern data transformation, orchestration, and query frameworksBuilding systems and products on top of LLMsPrivacy-preserving data systems, or data governance and lineage toolingBuilding and operating web services and the infrastructure underneath themFull-stack development or complex data visualizationBackground in econometrics, statistics, or quantitative social scienceWorking in environments where engineers partner closely with quantitative users - research labs, trading firms, analytics companiesSome Examples of Our Recent WorkAnthropic Economic Index report: Learning curvesLabor market impacts of AI: A new measure and early evidenceAnthropic Economic Index Report: Economic PrimitivesAnthropic Economic Index Report: Uneven Geographic and Enterprise AI AdoptionEstimating AI productivity gains from Claude conversationsThe Anthropic Economic IndexDeadline to apply: None. Applications are reviewed on a rolling basisThe 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:$300,000 - $405,000 USDLogisticsMinimum education: Bachelor's degree or an equivalent combination of education, training, and/or experienceRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experienceMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the positionLocation-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 directly for confirmed position openings.How we're differentWe 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,
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