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Software Engineer, Safeguards Infrastructure (AI)

325 000 - 395 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer, Safeguards Infrastructure (AI): Building foundational pieces for safety, oversight, and intervention mechanisms of AI systems with an accent on monitoring models, preventing misuse, and ensuring user well-being. Focus on developing infrastructure for data storage, metrics, evaluation systems, and robust multi-layered defenses for real-time safety improvements at scale.

Location: London, UK; hybrid attendance with at least 25% of working time in an office

Annual salary: £325,000–£395,000 GBP

Company

Anthropic develops reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.

What you will do

  • Build foundational Safeguards infrastructure for data storage and management, metrics, evaluations, and human and agentic review tooling.
  • Monitor AI models, prevent misuse, and support user well-being through safety, transparency, and oversight systems.
  • Operate Safeguards systems day to day while maintaining a high reliability and safety standard.
  • Reduce the amount of manual intervention and oversight required for production systems.
  • Develop robust, multi-layered defenses that improve safety mechanisms in real time and operate at scale.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or comparable professional experience.
  • Professional proficiency in Python and ability to work across the stack.
  • Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
  • Experience level aligned with the internal requirements for the position.
  • Ability to work from the London office at least 25% of the time.

Nice to have

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

Culture & Benefits

  • Collaborative research environment focused on large-scale efforts in steerable and trustworthy AI.
  • Frequent research discussions and emphasis on clear communication.
  • Flexible working hours and office-based collaboration.
  • Generous vacation and parental leave.
  • Competitive compensation and benefits, including optional equity donation matching.

Hiring process

  • Applications are reviewed on a rolling basis with no stated deadline.
  • Visa sponsorship is available, with support from an immigration lawyer, subject to role and candidate eligibility.

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