Software Engineer, Research Data Platform
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.
What this role actually needs.
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. Responsibilities: - Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query - Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis - Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work - Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly - Collaborate with adjacent teams to build on existing systems rather than reinventing them Requirements: - Are results-oriented, with a bias towards flexibility and impact - Pick up slack, even if it goes outside your job description - Want to learn more about machine learning research - Care about the societal impacts of your work Company context: Anthropic is an AI safety company building Claude, a frontier-model assistant for developers, enterprises, and consumers.
Day-to-day expectations
Anthropic lists these responsibilities for the Software Engineer, Research Data Platform role.
- Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query
- Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis
- Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work
- Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly
- Collaborate with adjacent teams to build on existing systems rather than reinventing them
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Are results-oriented, with a bias towards flexibility and impact
- Pick up slack, even if it goes outside your job description
- Want to learn more about machine learning research
- Care about the societal impacts of your work
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Software Engineer, Research Data Platform is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
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Source: job-boards.greenhouse.io · Source ID: 5191226008 · Confidence: 97/100 · Last checked: May 7, 2026
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