Software Engineer, Safeguards Labs

USD 405,000-485,000 per year
MIDDLE
✅ Hybrid
✅ Visa Sponsorship

Used Tools & Technologies

Machine Learning LLM

Required Skills & Competences

Python @ 6 Scoping @ 3 Fraud @ 3 AI @ 3 Data Pipelines @ 3

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. Safeguards Labs is a new team operating at the intersection of research and engineering, chartered to investigate novel safety methods that protect Claude and the people who use it. The team prototypes approaches to safe models, usage safeguards, and production safety, and pressure-tests ideas before they graduate into production systems run by partner Safeguards teams.

Responsibilities

  • Take research prototypes and harden them into production services that integrate with Anthropic's real-time safeguards path.
  • Build data and evaluation infrastructure that lets the team iterate on prototypes quickly and measure whether safeguards actually work, including in agentic settings.
  • Own deployment, monitoring, and reliability for systems Labs ships.
  • Build internal tooling that helps investigators surface and act on abuse patterns.
  • Collaborate with research engineers on scoping and contribute to decisions about which prototypes are ready to graduate.

Requirements

Minimum qualifications

  • Strong proficiency in Python and comfort working with large datasets.
  • A track record of designing, building, and operating production backend systems or data pipelines.
  • Experience taking software from prototype to production, including testing, monitoring, and reliability work.
  • Working familiarity with how large language models operate, even if LLMs aren't your primary background.
  • Care about the societal impacts of AI and want your work to directly reduce real-world harm.

Preferred qualifications

  • At least 5 years of software engineering experience.
  • Experience deploying ML systems or classifiers into production.
  • Background in trust and safety, integrity, fraud detection, threat intelligence, or adversarial ML.
  • Experience building developer-facing tooling or platforms that accelerate research workflows.
  • Familiarity with evaluation methodologies for language models.
  • Experience with agentic environments.
  • A history of partnering with researchers and successfully transferring prototypes into production.

Compensation

  • 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.
  • Location-based hybrid policy: Currently, staff are expected to be in one of Anthropic's offices at least 25% of the time.
  • Minimum years of experience: Will correlate with internal job level requirements.
  • Visa sponsorship: Anthropic states that they sponsor visas and retain an immigration lawyer to assist (with caveats about role-specific feasibility).

Benefits

  • Competitive compensation and benefits.
  • Optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours and office space for collaboration.