Head of Engineering (Frontier Safety)

The role

Lead the engineering function of FAR.AI's Frontier Safety division. Build the engineering team, red-teaming and evaluation tooling, and systems that test the safeguards of frontier AI models.

What you will do

• Build and scale red-teaming tools, evaluation systems and vulnerability databases
• Develop agentic systems, including automated red-teaming agents
• Build sandboxing architecture for evaluating the strongest AI systems
• Extend infrastructure to support CBRN, cyber and loss-of-control evaluations
• Mentor and manage engineers, and eventually managers
• Build hiring pipelines and recruit engineering talent
• Contribute to division technical and product strategy with Kellin Pelrine
• Own engineering execution and weekly sprint planning
• Partner with other FAR.AI teams to build testbeds and tooling

Required qualifications

• Strong track record in software engineering, AI, or another computer engineering discipline
• Strong track record of managing, growing and leading technical teams, including 0 to 1 startups and scale-ups
• Experience with the tech stack, such as coding agents, Python, LLM APIs, evaluation frameworks, cloud infrastructure and compute clusters
• Thrived in rapidly evolving environments
• Demonstrated drive for mission and impact on frontier AI systems
• Able to communicate technical solutions to technical and non-technical audiences
• Demonstrated relentlessness in achieving ambitious goals

Nice to have

• Experience building, red-teaming or evaluating frontier LLMs or agentic systems, or building safeguards for them
• Experience building technical teams and products in an entrepreneurial environment
• Demonstrated ability to find non-obvious, high-severity vulnerabilities in complex systems
• Other experience in adversarial ML or security
• Prior collaboration with AI labs, security teams or government safety institutes
• Published work in AI safety, security or robustness

Benefits

• Catered lunch and dinner at the Berkeley offices
• Payment for work-related travel expenses
• Payment for work-related equipment expenses

Before you apply

• FAR.AI sponsors visas for in-person employees
• Hiring includes a short screening call, work tests, interviews and a paid work trial
• If based in the US, you will be a full-time employee of FAR.AI, a 501(c)(3) nonprofit
• If based in Singapore, you will be an employee of FAR.Singapore
• Elsewhere, you will be employed via an Employer of Record

About the company

FAR.AI is a non-profit AI research institute working to ensure advanced AI is safe and beneficial for everyone. It conducts pre-deployment testing for frontier developers and independent evaluations for governments.