Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
TypeScript @ 5
Python @ 5
Communication @ 6
Rust @ 5
Fraud @ 3
Claude Code @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
You will 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 focuses on building systems to detect unwanted model behaviors and prevent disallowed use of models, applying technical skills to uphold 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 experience.
- 4-10+ years of experience in a software engineering position.
- Proficiency in Python.
- Ability to work across the stack (full-stack experience).
- Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.
Preferred / strong candidate experience:
- 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.
Logistics
- Location: London, United Kingdom. Location-based hybrid policy: currently, staff are expected to be in one of Anthropic's offices at least 25% of the time.
- Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to help, though sponsorship is not guaranteed for every role/candidate.
- Annual salary range: £255,000 - £325,000 GBP.
Benefits
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.