8 месяцев назад
Software Engineer, Safeguards Infrastructure (AI)
255 000 - 325 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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 work model, requiring staff to be in the office at least 25% of the time.
Salary: £255,000 – £325,000 GBP
Company
Anthropic is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems for safety and societal benefit.
What you will do
- Develop foundational systems for Safeguards, including infrastructure for data storage, management, metrics, evaluation, and tooling for human and agentic review.
- Ensure day-to-day operational excellence of Safeguards systems, serving both safety and customers while minimizing human intervention.
- Build robust, reliable, and multi-layered defenses for real-time improvement of safety mechanisms at scale.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering or comparable experience.
- 4-10+ years of experience in a software engineering position.
- Proficiency in Python.
- Ability to work across the stack.
- Strong communication skills to explain complex technical concepts.
- Must adhere to a hybrid policy, working from the London office at least 25% of the time.
- Visa sponsorship is available for eligible candidates.
Nice to have
- Experience building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems.
- Experience building metrics and measurement systems or data and privacy management systems.
- Proficiency in TypeScript or Rust.
- Experience with Claude Code or similar agentic coding tools.
Culture & Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Collaborative environment with frequent research discussions.
- Focus on high-impact AI research.
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