Research Engineer, Economic Research

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 team you will design build 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 at Anthropic 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 that is clear-eyed about the economic effects of AI to help policymakers businesses and the public understand and navigate the transition to powerful AI. We use our insights to inform Anthropic decisions internally across the business.

In this role you will work closely with teams across Anthropicincluding Data Science and Analytics Data Infrastructure Societal Impacts and Public Policyto 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 & implementing high-quality internal infrastructure working in a fast-paced startup environment navigating ambiguity and demonstrating an eagerness to develop their own research & technical skills.

Responsibilities:

• Build and maintain data pipelines that process large scale Claude usage logs into canonical reusable datasets while maintaining user privacy.

• Expand privacy-preserving tools to enable new analytic functionality to support research needs.

• Design and implement novel data systems leveraging language models (e.g. CLIO) where traditional software engineering patterns dont yet exist.

• Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis.

• Contribute to the strategic development of the economic research data foundations roadmap

• Ensure data reliability integrity and privacy compliance across all economic research data infrastructure

• Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions

• Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards.

• Partner closely with researchers data scientists policy experts and other cross-functional partners to advance Anthropics safety mission

You might be a good fit if you have:

• Have experience working with Research Scientists and Economists on ambiguous AI and economic projects

• Have experience with building and maintaining data infrastructure large datasets and internal tools in production environments.

• Have experience with cloud infrastructure platforms such as AWS or GCP.

• Take pride in writing clean well-documented code in Python that others can build upon

• Are comfortable making technical decisions with incomplete information while maintaining high engineering standards

• Are comfortable getting up-to-speed quickly on unfamiliar codebases and can work well with other engineers with different backgrounds across the organization

• Have a track record of using technical infrastructure to interface effectively with machine learning models

• Have experience deriving insights from imperfect data streams

• Have experience building systems and products on top of LLMs

• Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders

• A passion for Anthropics mission of building helpful honest and harmless AI and understanding its economic implications.

• 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.

• Strong communication skills to collaborate effectively with economists researchers and cross-functional partners who may have varying levels of technical expertise.

Strong candidates may have:

• Background in econometrics statistics or quantitative social science research

• Experience building data infrastructure and data foundations for research

• Familiarity with large language models AI systems or ML research workflows

• Prior work on projects related to labor economics technology adoption or economic measurement

Some Examples of Our Recent Work

• 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 policyfor using AI in our application process