Staff+ Software Engineer, Account Creation

EngineersOfAI

San Francisco, Northern (CA, KY)

Hybrid

USD 320,000 - 485,000

Full time

6 days ago
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Job summary

Anthropic in San Francisco is seeking a software engineer for the Safeguards team to build safety and oversight mechanisms for our AI systems. You will monitor models, prevent misuse, and ensure user wellbeing across the stack.

This role focuses on detecting unwanted model behaviors, enforcing policies, and surfacing abuse patterns to researchers for hardening models at the training stage. You will contribute to scalable defenses and real-time safety improvements.

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 and ability to explain complex technical concepts to non-technical stakeholders.

Responsibilities

  • Develop monitoring systems to detect unwanted behaviors from API partners and surface results in dashboards for analysts.
  • Build abuse detection mechanisms and infrastructure.
  • Surface abuse patterns to research teams to harden models at the training stage.
  • Build multi-layered defenses for real-time safety improvements at scale.

Skills

Python
Typescript
Cross-stack development
Communication

Education

Bachelor's degree in Computer Science or related field

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 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.

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