Cybersecurity Research Engineer for Safe AI Systems

Anthropic; Zürich; Hybrid; CHF 120.000 - 170.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Office space

Zusammenfassung

Anthropic is seeking a Research Engineer in Zurich to advance secure AI systems. You will design and implement RL environments, run experiments, and push safe, scalable models through production training runs while collaborating with researchers, engineers, and cybersecurity specialists.

This role blends research and engineering, requiring experience in cybersecurity and ML, with opportunities to influence defensive workflows and participate in on-call rotations.

Qualifikationen

• Experience in cybersecurity research or applied security work.
• Experience with machine learning.
• Ability to balance research exploration with engineering implementation.
• Care about AI’s potential and are committed to developing safe and beneficial systems.

Aufgaben

• Design, build, and maintain RL environments and evaluations that measure and improve model capabilities in secure coding, vulnerability discovery and remediation, and other defensive security tasks
• Run experiments to develop and test new training approaches, and deliver successful results into production training runs
• Partner with researchers, engineers, and security specialists across Anthropic to understand where AI can strengthen defensive workflows, and build toward those needs
• Work with external cybersecurity experts and organizations to ground environments and evaluations in realistic defensive work
• Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest
• Participate in an on-call rotation as needed

Kenntnisse

Cybersecurity

Machine learning

Research mindset

Software engineering

Jobbeschreibung

Anthropic is seeking a Research Engineer in Zurich to advance secure AI systems. You will design and implement RL environments, run experiments, and push safe, scalable models through production training runs while collaborating with researchers, engineers, and cybersecurity specialists.

This role blends research and engineering, requiring experience in cybersecurity and ML, with opportunities to influence defensive workflows and participate in on-call rotations.