AI Safety & Red Teaming Lead

talentpluto • San Francisco, CA

3d • Onsite

About The Position

The AI Safety & Red Teaming Lead will conduct hands-on adversarial work to shape how foundation models behave. The role designs adversarial datasets and safety benchmarks used by frontier AI labs to improve their models, and partners directly with those labs on AI safety and model behavior. This is a hands-on individual-contributor-plus-lead position for someone with practical experience finding weaknesses in models. The successful candidate will join a small, high-agency team and help define the company’s approach to safety work as it scales. The position is onsite in San Francisco, California.

Requirements

• At least 2 years of experience in AI safety, red teaming, trust and safety, adversarial machine learning, or security research at a frontier AI lab, large technology company, top security firm, or equivalent.
• Hands-on adversarial experience, such as jailbreaking frontier models, prompt-injection research, offensive security, penetration testing, bug bounty work, CTFs, or trust and safety investigations.
• Fluency with harm taxonomies, evaluation design, safety frameworks, and model policy.
• Python proficiency and ability to write production-quality code.
• Strong writing skills and ability to specify risk precisely.
• High agency and a competitive track record.
• Able to work onsite in San Francisco.

Nice To Haves

• Published safety, alignment, or security research.
• A bug bounty, CTF, or red-teaming competition record.
• Depth in a high-consequence risk domain such as cyber, bio, fraud, child safety, or influence operations.

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 establish standards and processes for safety work as the function grows.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed