Эта роль в Anthropic предлагает сильный акцент на безопасность ИИ и инфраструктуру, с высокой зарплатой и четким объемом обязанностей, что делает ее отличной возможностью на рынке технологий.
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Высокая зарплатаЧеткий объем работыТрендовый доменГибридная модель работы
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Текст:
Hirify AI/Оригинал
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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