Staff+ Software Engineer, Account Creation

Anthropic; San Francisco (CA); Hybrid; USD 320,000 - 485,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Equity donation matching (optional)

Generous vacation and parental leave

Flexible working hours

Office in San Francisco

Job summary

Anthropic, a San Francisco–based AI safety company, seeks software engineers for the Safeguards team to build safety and oversight mechanisms for our AI systems. You will work to monitor models, prevent misuse, and enforce our terms of service while improving user well-being.

Responsibilities include developing monitoring systems, building abuse detection, surfacing patterns to researchers, and creating robust defenses for real-time safety improvements at scale.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering or comparable experience
• Proficiency in Python and TypeScript
• Ability to work across the stack
• Strong communication skills to explain technical concepts to non-technical stakeholders

Responsibilities

• Develop monitoring systems to detect unwanted model behaviors and surface results to analysts
• Build abuse detection mechanisms and infrastructure
• Surface abuse patterns to research teams to harden models
• Build multi-layered defenses for real-time safety improvements at scale

Skills

Python

TypeScript

Cross-stack

Communication

Education

Bachelor’s in CS/Software Eng

Job description

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 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 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

• Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review
• Build abuse detection mechanisms and infrastructure
• Surface abuse patterns to our research teams to harden models at the training stage
• Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale

You May Be a Good Fit If You Have

• A Bachelor’s degree in Computer Science, Software Engineering or comparable experience
• Proficiency in Python and Typescript
• An 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
• 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.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary

$320,000—$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.

Come work with us!

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.