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Staff+ Software Engineer, Safeguards Infrastructure

Label Your Data·325,000 – 395,000 GBP

Primary stack

RustPythonTypeScript

Nice to have's

Trust and SafetyAnti-spamFraud DetectionMetrics and Measurement SystemsData and Privacy Management SystemsOperational Team CollaborationCustom Internal Tooling

Job description

About the Position

Staff+ Software Engineer, Safeguards Infrastructure

London, UK

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. 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

We are looking for software engineers to help build the foundational pieces for safety, oversight, and intervention mechanisms of our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight.

Responsibilities

  • Develop the foundational systems which power Safeguards, including infrastructure for data storage and management, metric and evaluation systems, and tooling for human and agentic review.
  • Ensure the day-to-day running of Safeguards systems and hold a high operational bar which serves both safety and customers while reducing the amount of human intervention and oversight required.
  • Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or comparable professional experience.
  • Proficiency in Python.
  • Ability to work across the stack.
  • Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.

Nice to Have

  • 7+ years of experience in a software engineering position.
  • Experience building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms and interventions for AI/ML systems.
  • Experience building metrics and measurement systems or data and privacy management systems.
  • Experience working closely with operational teams to build custom internal tooling.
  • Proficiency in TypeScript or Rust.
  • Experience with Claude Code or similar agentic coding tools.

We Offer

  • Competitive annual salary range: £325,000-£395,000 GBP.
  • Hybrid work location policy.
  • Visa sponsorship available for eligible candidates.
  • Comprehensive benefits package including optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in San Francisco.

About the Company

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.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

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.

© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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