Research Engineer, Economic Research Data Platform

About Anthropic

Anthropics 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

As a Research Engineer on the Economic Research Data Platform team you will design build and maintain critical infrastructure that powers Anthropics research on AIs 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 datasets
• Design 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 its having on the economy
• Build self-serve workflows to ingest and integrate external data sources so theyre interoperable with internal datasets
• Develop the APIs libraries and interfaces that serve data to researchers and the public
• Partner closely with researchers data scientists policy experts and other cross-functional partners to advance Anthropics safety mission
• Contribute to the team roadmap documentation and practices that enable self-serve data access while maintaining safety and governance standards
• Ensure data reliability integrity and privacy compliance across all economic research data infrastructure

You might be a good fit if you:

• Have significant experience building data-intensive applications pipelines or internal tooling in production
• Have 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 upon
• Have intuition for analytics workflows and empathy for how researchers and data scientists work
• Are comfortable making technical decisions with incomplete information while keeping engineering standards high
• Have 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 description
• Have strong communication skills to collaborate effectively with economists researchers and cross-functional partners who may have varying levels of technical expertise
• Care about the societal impacts of your work and are interested in AIs economic implications

Bonus qualifications:

• Experience with modern data transformation orchestration and query frameworks
• Building systems and products on top of LLMs
• Privacy-preserving data systems or data governance and lineage tooling
• Building and operating web services and the infrastructure underneath them
• Full-stack development or complex data visualization
• Background in econometrics statistics or quantitative social science
• Working in environments where engineers partner closely with quantitative users research labs trading firms analytics companies

Some Examples of Our Recent Work

• • Anthropic Economic Index report: Learning curves
  • Labor market impacts of AI: A new measure and early evidence
  • Anthropic Economic Index Report: Economic Primitives
  • Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
  • Estimating AI productivity gains from Claude conversations
  • The Anthropic Economic Index

Deadline to apply: None. Applications are reviewed on a rolling basis

Logistics

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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 aboutour policy for using AI in our application process.