Drimva

Anthropic

Staff+ Software Engineer, Safeguards

$320K–$485K

San Francisco, CA +3 · Staff · Full-time · Posted Oct 14, 2025

Location
San Francisco, CA
New York City, NY
New York, New York, United States
San Francisco, California, United States
Experience
Years required correlate with internal job level; strong candidates may have 8+ years of software engineering experience.
Education
Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study demonstrated through coursework, training, or professional experience.
Visa sponsorship
Visa sponsorship is available, but not guaranteed for every role or candidate; the company will make every reasonable effort to obtain a visa after an offer.

About the job

Build safety and oversight systems that monitor AI models, detect unwanted behavior and abuse, and prevent disallowed use.

What you'll do

  • Develop monitoring systems and dashboards to identify unwanted behavior and support automated enforcement or analyst review.
  • Build abuse detection mechanisms and scalable, multi-layered real-time safety defenses.
  • Identify abuse patterns and share them with research teams to improve model training.

What they ask for

  • Bachelor’s degree in Computer Science, Software Engineering, or comparable professional experience.
  • Proficiency in at least one programming language, such as Python or Java.
  • Ability to work across the stack.
  • Strong communication skills, including explaining technical concepts to non-technical stakeholders.

Nice to have

  • Experience with integrity, spam, fraud, or abuse detection and mitigation; trust and safety mechanisms for AI/ML systems.
  • Experience with prompt engineering, jailbreak attacks, adversarial inputs, or internal tooling for operational teams.

Pay

$320,000 — $485,000 USD annual base salary

Tools

Python, Java

AI focus

Build monitoring, abuse detection, and enforcement systems for AI models; surface patterns to researchers to harden models during training.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 6, 2026 (UTC)