Member of Technical Staff Safety

You will own red-teaming and adversarial evaluation pipelines for AI models. You will identify security, misuse, and alignment failures; develop automated safety benchmarks; implement jailbreaking techniques and defenses; translate findings into guardrails; and validate releases against risk thresholds.

Responsibilities

• Own red-teaming and adversarial evaluation pipelines
• Probe models for security misuse and alignment failure modes
• Translate safety findings into concrete guardrails
• Validate releases against safety risk thresholds
• Develop scalable automated safety benchmarks
• Research and implement jailbreaking techniques and defenses

Requirements

• Graduate degree in Computer Science Machine Learning or a related discipline or equivalent AI safety experience
• Knowledge of LLM safety adversarial attacks red-teaming methodologies and interpretability
• Software engineering experience building automated evaluation pipelines or large-scale ML systems
• Ability to make high-stakes model release and safety-threshold decisions

Benefits

• Stock options
• Medical dental vision and life insurance
• Annual wellness allowance
• Daily office lunch and dinner
• 22 weeks of paid parental leave
• Unlimited paid time off in the United States
• 30 days of vacation in the United Kingdom
• Visa sponsorship support
• Regular off-sites happy hours and team celebrations