Research Engineer - Economic Research Data Platform
About the job
- Significant experience building data-intensive applications, pipelines, or internal tooling in production.
- Experience with cloud infrastructure platforms such as AWS or Google Cloud Platform.
- Ability to write clean, well-documented Python code.
- Intuition for analytics workflows and empathy for researchers and data scientists.
- Ability to make technical decisions with incomplete information while maintaining high engineering standards.
- A full-stack mindset and willingness to solve problems end-to-end.
- Strong communication skills for collaborating with economists, researchers, and cross-functional partners with varying levels of technical expertise.
- Interest in the societal impacts of the work and AI's economic implications.
- A bachelor's degree or an equivalent combination of education, training, and experience.
- A field relevant to the role, demonstrated through coursework, training, or professional experience.
- Build and operate data pipelines that transform 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, to understand Claude usage and its economic impact.
- Build self-service workflows to ingest and integrate external data sources so they are interoperable with internal datasets.
- Develop the APIs, libraries, and interfaces that serve data to researchers and the public.
- Partner with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic's safety mission.
- Contribute to the team roadmap, documentation, and practices that enable self-service data access while maintaining safety and governance standards.
- Ensure data reliability, integrity, and privacy compliance across economic research data infrastructure.
- Experience with modern data transformation, orchestration, and query frameworks.
- Experience building systems and products on top of large language models.
- Experience with privacy-preserving data systems or data governance and lineage tooling.
- Experience building and operating web services and the infrastructure underneath them.
- Experience with full-stack development or complex data visualization.
- Background in econometrics, statistics, or quantitative social science.
- Experience working in environments where engineers partner closely with quantitative users, such as research labs, trading firms, or analytics companies.
About the company
Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.
Company Size
5,001-10,000
Company Stage
N/A
Total Funding
$224.8B
Headquarters
San Francisco, California
Founded
2021
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Simplify's Take
What believers are saying
- Sales are multiplying: Anthropic's yearly revenue pace topped $65 billion in July 2026, over sevenfold since December 2025.
- IPO plans advanced: October 2026 reports describe investor meetings and a mid-November listing target; staff shares face lockups.
- Lower office minimum: 627 of 646 Anthropic job posts in October 2026 require at least 25% office time.
What critics are saying
- Job security rides on growth: Anthropic's IPO prospectus lists $518 billion in cloud and computing bills due in coming years.
- Defense work stays off-limits: in September 2026, appeals judges voted 2-1 to let the Pentagon keep blacklisting Anthropic.
- Growth is priced in: Anthropic's valuation reached $965 billion in May 2026, up from $380 billion in February.
What makes Anthropic unique
- Investors don't control its board alone: Anthropic's independent Long-Term Benefit Trust elects a growing number of directors.
- It isn't tied to one chipmaker: Claude runs on Nvidia GPUs plus custom AI chips designed by Google and Amazon.
- It holds back its riskiest model: Claude Mythos 5.1, launched September 2026, goes only to vetted cyberdefenders and life scientists.
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Benefits
Flexible Work Hours
Paid Vacation
Parental Leave
Hybrid Work Options
Company Equity
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
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↓ -3%OpenAI and Anthropic are hiring former Trump administration officials for senior roles as AI companies strengthen ties with Washington. Anthropic has appointed at least two ex-Trump officials this year, including Chris Liddell to its board and Sihao Huang as head of frontier compute strategy. OpenAI has hired at least three, including Thomas Lind for cyber and strategic risk, and Dean Ball as head of strategic futures. The moves come as frontier AI is increasingly viewed as a national security issue, with companies seeking to build relationships amid growing regulatory calls. Trump has called AI safety concerns a "hoax" whilst also suggesting law enforcement could "rein in" AI. Both companies are currently hiring for multiple political engagement roles as they prepare for potential public listings.
Chip and cloud stocks edged higher in overnight trading after OpenAI's revenue disclosure sparked a sharp selloff on Thursday. Nvidia rose 0.5%, whilst Oracle and CoreWeave gained 0.7% and 0.3% respectively. The iShares semiconductor ETF added 0.03% after sliding 3.4% in the regular session. OpenAI reported roughly $50 billion in annualised revenue at the end of September, lower than the previously reported $70 billion figure. Analysts said the discrepancy stemmed from different accounting methods when comparing OpenAI's revenue with competitor Anthropic's. The Futurum Group CEO Daniel Newman called the broader market reaction "overblown", noting OpenAI could still reach $70 billion to $90 billion in revenue by year-end. In a Stocktwits poll, 48% of retail investors said they plan to buy AI-linked stocks following the dip.
American tech companies are expanding data centre operations in Australia, but face growing opposition from residents and farmers. Local communities near Melbourne are protesting planned facilities, citing concerns over noise, energy consumption, and water usage. Investment in Australian data centres could exceed $100 billion by 2030, according to the Commonwealth Bank of Australia, with Microsoft and Amazon already committing funding. Companies are attracted by Australia's geographic location, renewable energy access, and democratic stability. However, the expansion faces obstacles. New regulations on water efficiency and power supply take effect next year. Australia's strict copyright protections pose challenges for AI companies seeking regulatory certainty. Recent revelations that an OpenAI agent accessed Australian government websites without authorisation have intensified scrutiny. Experts question whether AI companies should receive special treatment regarding accountability.
Anthropic has launched its Cyber Mission programme to help patch software vulnerabilities exposed by its own AI tools. The company acknowledges that attackers currently have the advantage, but predicts defenders will gain the upper hand within two years. The initiative focuses on two areas: a Critical Infrastructure Defense Program, partnering with firms like CrowdStrike and Palo Alto Networks to protect utilities from AI-discovered vulnerabilities, and OSS Scanner, offering free security scans to established open-source projects. According to Anthropic, AI models now find over 85% of vulnerabilities, up from 20% at the start of 2025. The programme follows recent incidents where AI agents broke into at least 20 organisations, including HuggingFace, raising concerns about AI-enabled cyberattacks.
Anthropic has launched a cyber programme targeting critical infrastructure and introduced OSS Scanner, a free opt-in service for open-source projects that handles vulnerability reports. The AI-generated reports come without human review and may contain inaccuracies. Earlier this week, Anthropic integrated Project Glasswing into its Cyber Verification Program, expanding model access for eligible defenders. Google noted that automated security findings can create additional triage work for maintainers. The Open Source Security Foundation warned that AI-generated disclosures risk adding low-quality noise. The launch reflects a broader trend of vendors marketing AI-enabled cyber defence tools to critical infrastructure operators.