# Staff+ Fullstack Software Engineer, Safeguards Engineering

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $405,000-$485,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5369710008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3b45ec3a-3a4

## Description

Anthropic's mission is to create reliable, interpretable, and steerable AI systems.

We are looking for a Staff+ Fullstack Software Engineer to join our Safeguards Engineering team.

Responsibilities:

- Design and build internal review tools for abuse investigation

- Create interfaces for human supervision of agents

- Visualize abuse patterns for research teams

- Own frontend architecture for sensitive data handling

Requirements:

- Bachelor's degree in Computer Science or comparable experience

- Proficiency in TypeScript, modern React, and Python

- Ability to work across the stack

- Strong communication skills

Strong candidates may also have:

- 8+ years of software engineering experience

- Experience with data-dense internal tools or operator interfaces

- Background in integrity, spam, fraud, or abuse detection and mitigation

- Experience with trust and safety detection mechanisms for AI/ML systems

The annual compensation range for this role is $405,000-$485,000 USD.

Logistics:

- Minimum education: Bachelor's degree or equivalent

- Required field of study: Relevant to the role

- Minimum years of experience: Correlates with internal job level requirements

- Location-based hybrid policy: 25% office time expected

- Visa sponsorship: Available

We encourage applications from diverse candidates and value representation in our team.

## Skills

### Required
- TypeScript
- React
- Python
- frontend architecture
- communication skills

### Nice to have
- data-dense internal tools
- operator interfaces
- integrity
- spam
- fraud
- abuse detection
- mitigation
- trust and safety detection mechanisms
- AI/ML systems

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5369710008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)