Staff Software Engineer: Safeguards Infrastructure & Safety

anthropic; Greater London; Híbrido; GBP 325.000 - 395.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Visa sponsorship

Descripción de la vacante

Anthropic in the United Kingdom is seeking software engineers to join the Safeguards team, building foundational systems for safety, oversight, and intervention in AI models. You will monitor models, prevent misuse, and ensure user wellbeing at scale.

Ideal candidates have 7+ years in software engineering, with Python and proficiency in TypeScript or Rust, plus experience in AI/ML safety mechanisms and strong communication with non‑technical stakeholders.

Formación

• 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.

Responsabilidades

• 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

Conocimientos

Python

Communication skills

Full-stack capability

Educación

Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience

Herramientas

TypeScript

Rust

Claude Code

Descripción del empleo

Anthropic in the United Kingdom is seeking software engineers to join the Safeguards team, building foundational systems for safety, oversight, and intervention in AI models. You will monitor models, prevent misuse, and ensure user wellbeing at scale.

Ideal candidates have 7+ years in software engineering, with Python and proficiency in TypeScript or Rust, plus experience in AI/ML safety mechanisms and strong communication with non‑technical stakeholders.