Staff+ Fullstack Software Engineer, Safeguards Engineering

Anthropic; San Francisco (CA); Presencial; USD 405.000 - 485.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive pay

Equity donation matching

Generous vacation

Parental leave

Flexible hours

Office space

Descripción de la vacante

Anthropic is seeking a full-stack software engineer for the Safeguards team in San Francisco. You will help build safety and oversight systems for AI models, focusing on detecting unwanted behaviors and ensuring user well-being.

You will implement interfaces for human supervision and maintain secure, scalable frontend systems. Ideal candidates have a Bachelor’s in CS or related field, strong TypeScript/React skills, Python backend experience, and ability to work across the stack with clear

Formación

• Bachelor's degree in CS, Software Engineering or equivalent experience.
• Proficiency in TypeScript and modern React; comfortable with Python for backend work.
• Ability to work across the stack and communicate complex ideas clearly.
• Strong collaboration and stakeholder communication skills.

Responsabilidades

• Design and build internal review tools for abuse investigations—dashboards, queues, evidence viewers.
• Develop interfaces for human supervision of agents with streaming outputs and provenance.
• Surface abuse patterns to research via visualizations and exploration tools.
• Own frontend architecture for tools handling sensitive data at scale with end-to-end access controls.

Conocimientos

TypeScript

React

Python

Full-stack

Communication

Educación

Bachelor's degree in Computer Science or related field

Descripción del empleo

About Anthropic

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.

About The Role

We are looking for fullstack software engineers to help build safety and oversight mechanisms for 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 will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies.

Responsibilities

• Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate.
• Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes.
• Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible.
• Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end.

You May Be a Good Fit If You Have

• A Bachelor’s degree in Computer Science, Software Engineering or comparable experience
• Proficiency in TypeScript and modern React; comfortable in Python for backend work
• The ability to work across the stack
• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Strong Candidates May Also

• 8+ years of experience in a software engineering position, not including internships or co-ops
• Have experience building data-dense internal tools or operator interfaces, not just marketing or consumer surfaces
• Have experience with integrity, spam, fraud, or abuse detection and mitigation
• Have experience building trust and safety detection mechanisms and intervention for AI/ML systems
• Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs
• Have worked closely with operational teams to build custom internal tooling

The annual compensation range for this role is listed below.

Annual Salary

$405,000-485,000 USD

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How We’re Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Guidance on Candidates’ AI Usage: Learn about our policy for using AI in our application process.