Research Engineer / Scientist, Societal Impacts
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: - Design and implement scalable technical infrastructure that enables researchers to efficiently run experiments and evaluate AI systems. - Architect systems that can handle uncertain and changing requirements while maintaining high standards of reliability - Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions - Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission - Interface with and improve our internal technical infrastructure and tools - Generate net-new insights about the potential societal impact of systems being developed by Anthropic Requirements: - Experience working ambiguous AI research projects - Experience building and maintaining production-grade internal tools or research infrastructure - Take pride in writing clean, well-documented code in Python that others can build upon - Comfortable making technical decisions with incomplete information while maintaining high engineering standards - Comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization - Track record of using technical infrastructure to interface effectively with machine learning models 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 Research Engineer / Scientist, Societal Impacts role.
- Design and implement scalable technical infrastructure that enables researchers to efficiently run experiments and evaluate AI systems.
- Architect systems that can handle uncertain and changing requirements while maintaining high standards of reliability
- Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions
- Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission
- Interface with and improve our internal technical infrastructure and tools
- Generate net-new insights about the potential societal impact of systems being developed by Anthropic
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Experience working ambiguous AI research projects
- Experience building and maintaining production-grade internal tools or research infrastructure
- Take pride in writing clean, well-documented code in Python that others can build upon
- Comfortable making technical decisions with incomplete information while maintaining high engineering standards
- Comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization
- Track record of using technical infrastructure to interface effectively with machine learning models
Why this listing is more than a copied job post.
Research Engineer / Scientist, Societal Impacts 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
United States roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.
Compensation read
The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.
Work authorization read
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.
Browse similar jobs
Turn this listing into an application plan.
This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.
Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to research engineer / scientist, societal impacts is a high-signal on-site role in san francisco, and it is most realistic for open to tn, h-1b, and opt candidates already in the united states.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- 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.
Keywords to match against your background
Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.
Apply through the employer source
Open the source listing from job-boards.greenhouse.io, confirm the role is still active, then apply on the employer or ATS page.
Source: job-boards.greenhouse.io · Source ID: 5076606008 · Confidence: 97/100 · Last checked: May 7, 2026
How UpJobz verifies job sourcesContinue browsing tech jobs