AI Safety Engineer

AI Safety Engineers ensure AI systems are reliable, secure, and aligned with human values. They work on adversarial robustness, interpretability, alignment research, and red-teaming to prevent AI systems from causing harm.

Key Responsibilities: • Test AI systems for safety vulnerabilities • Implement adversarial robustness techniques • Build interpretability and monitoring systems • Conduct red-team exercises on AI models • Develop safety evaluation frameworks • Collaborate with AI ethics teams

Required Skills: ML security, adversarial attacks, interpretability techniques, red-teaming, Python, safety evaluation, alignment research, threat modeling, security best practices, incident response

Career Path: Junior safety engineers work on specific safety tests. Mid-level engineers lead safety evaluation programs. Senior engineers architect safety systems. Principal engineers set safety standards and strategy.

Top Hiring Companies: Anthropic, OpenAI, Google DeepMind, Meta, Microsoft, Redwood Research, Center for AI Safety, Apollo Research, UK AI Safety Institute