Research Engineer, Frontier Red Team (Autonomy)
Anthropic
Location
USA
Type
Full-time
Posted
Jan 25, 2026
Compensation
USD 200000 – 200000
Mission
What you will drive
Core responsibilities:
- Design and build autonomous AI systems that can use tools and operate across diverse environments—creating model organisms that help us understand and defend against advanced adversarial AI
- Create evals and training environments to understand and shape agent behavior in desirable ways
- Develop defensive agents that can detect, disrupt, or outcompete adversarial AI systems in realistic scenarios
- Interface Claude with hardware platforms (e.g. robotics, physical systems) to understand cyberphysical risks and defenses
Impact
The difference you'll make
Your work will inform decisions at the highest levels of the company, contribute to public demonstrations that shape policy discourse, and help build technical defenses that could matter enormously as AI systems become more capable. This research makes the entire world safer in this era of advanced AI by understanding what these systems can do and building the defenses that matter.
Profile
What makes you a great fit
Required qualifications:
- Strong software engineering skills, particularly in Python
- Experience building and working with LLM-based agents or autonomous systems
- Driven to find solutions to ambiguously scoped, high-stakes problems
- Design and run experiments quickly, iterating fast toward useful results
- Thrive in collaborative environments (we love pair programming!)
- Care deeply about AI safety and want your work to have real-world impact
Benefits
What's in it for you
Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Annual salary range: $350,000—$850,000 USD.
About
Inside Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.