Anthropic - Software Engineer, Safeguards Foundations (Internal Tooling)
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Requirements
• 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. • Location-based hybrid policy: • Visa sponsorship: We do sponsor visas! However, we aren't 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. • Visa sponsorship: • 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 you're interested in this work. We think AI systems like the ones we're 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 from @anthropic.com email addresses. In 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 you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. • We encourage you to apply even if you do not believe you meet every single qualification. • Your safety matters to us. • How we're different • How we're 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. We're 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! • 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 about our policy for using AI in our application process • Guidance on Candidates' AI Usage:
Responsibilities
• Design, build, and maintain the internal review and enforcement tooling used by Safeguards analysts — including case queues, content review surfaces, decision/audit logging, and account-actioning workflows • Understand user workflows and establish tooling for well processes that may be distributed across a number of tools and UIs • Develop the ‘base layer’ of reusable APIs, data storage, and backend services that let new review workflows be stood up quickly and safely • Partner with operations and policy teams to understand reviewer pain points, then translate them into clear product improvements that reduce handling time and decision error • Integrate tooling with upstream detection systems and downstream enforcement infrastructure so that flagged behaviour flows cleanly from signal → human review → action • Build in the guardrails that sensitive internal tools require: granular permissions, audit trails, data-access controls, and reviewer wellbeing features (e.g. content blurring, exposure limits) • Instrument the tools you ship — surfacing metrics on queue health, reviewer throughput, and decision quality so the team can see what's working • Contribute to the Foundations team's shared platform and on-call responsibilities • You may be a good fit if you • Have 4+ years of experience as a software engineer, with meaningful time spent building internal tools, operations platforms, or back-office products • Are comfortable using agentic coding tools (e.g. Claude Code) as a core part of your workflow, and can direct them to ship well-tested, production-quality software at a high cadence without lowering the bar (our stack is mostly React/TypeScript and Python) • Take a product-minded approach to internal users: you work with the people using your tools, watch where they struggle, and fix it • Are results-oriented, with a bias towards flexibility and impact • Pick up slack, even if it goes outside your job description • Communicate clearly with non-engineering stakeholders and can explain technical trade-offs to operations and policy partners • Care about the societal impacts of your work and want to apply your engineering skills directly to AI safety • Strong candidates may also • Have built tooling in a trust & safety, content moderation, fraud, integrity, or risk-operations setting • Have experience designing case-management or workflow systems (queues, SLAs, escalation paths, audit logs) • Have worked with sensitive data and understand the privacy, access-control, and reviewer-wellbeing considerations that come with it • Have experience with GCP/AWS, Postgres/BigQuery, and CI/CD in a production environment • Have used LLMs as a building block inside operational tools (e.g. assisted triage, summarisation, or classification in the review loop) • Representative projects • Rebuilding the analyst review queue so cases are routed by severity and skill, with full decision history and one-click escalation • Shipping a unified account-investigation view that pulls signals from multiple detection systems into a single, permissioned surface • Adding content-obfuscation and exposure-tracking features to protect reviewers working with harmful material • Building an internal labelling tool that feeds high-quality ground truth back to the detection and research teams • Candidates need not have • 100% of the skills listed above • Prior experience in AI or machine learning • Formal certifications or education credentials • Deadline to apply: None. Applications will be reviewed on a rolling basis. • Deadline to apply:
Benefits
• For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. • £255,000—£325,000 GBP • Minimum education: Bachelor’s 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 aren't 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 you're interested in this work. We think AI systems like the ones we're 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 from @anthropic.com email addresses. In 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 you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. • How we're 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. We're 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 about our policy for using AI in our application process
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