AI Safety & Red Team Lead — Onsite in SF

TalentPluto, Inc.

San Francisco (CA)

On-site

USD 130,000 - 350,000

Full time

4 days ago
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Job summary

TalentPluto, Inc. is seeking an AI Safety & Red Teaming Lead in San Francisco to perform hands-on adversarial work that shapes how foundation models behave. You will design safety benchmarks and work directly with frontier AI labs on model behavior, safety evaluation, and risk priorities.

This IC-plus-lead role requires breaking models, not just writing about safety, and involves joining a small high-agency team to define how safety work scales. Onsite in San Francisco is required.

Qualifications

  • 2+ years in AI safety, red teaming, trust and safety, adversarial ML, or security research at a frontier AI lab, large tech company, top security firm, or equivalent.
  • Hands-on adversarial experience such as jailbreaking frontier models, prompt-injection research, offensive security, penetration testing, bug bounty, CTFs, or trust and safety investigations.
  • Fluency with harm taxonomies, evaluation design, safety frameworks, and model policy.
  • Python proficiency and the ability to write production-quality code.

Responsibilities

  • Design adversarial datasets and safety benchmarks used by frontier AI labs to improve foundation models.
  • Jailbreak and stress-test frontier models to surface failure modes and unsafe behavior.
  • Partner directly with lab researchers on model behavior, safety evaluation, and risk priorities.
  • Write precise risk specifications grounded in harm taxonomies, safety frameworks, and model policy.
  • Build automated red-teaming and evaluation pipelines in Python.
  • Help set the standards and process for safety work as the function grows.

Skills

AI safety
Red teaming
Adversarial ML
Security research
Model policy
Strong writing

Tools

Python

Job description

TalentPluto, Inc. is seeking an AI Safety & Red Teaming Lead in San Francisco to perform hands-on adversarial work that shapes how foundation models behave. You will design safety benchmarks and work directly with frontier AI labs on model behavior, safety evaluation, and risk priorities.

This IC-plus-lead role requires breaking models, not just writing about safety, and involves joining a small high-agency team to define how safety work scales. Onsite in San Francisco is required.

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