Head of Engineering (Frontier Safety)

Role overview Build and lead the engineering function supporting a frontier AI safety testing program. You will turn technical priorities into a capable team, reliable infrastructure, and repeatable execution across evaluations, safeguards, research, and products. The work aims to uncover serious weaknesses in advanced AI systems and help drive effective mitigations with industry and government partners.

Responsibilities - Set engineering priorities with technical leadership and build the organization, systems, and processes to deliver them. - Grow and lead engineering teams, including developing managers as the function scales. - Move new technical capabilities from prototypes into robust deployments for high-stakes testing and evaluation. - Build infrastructure that scales reliably while making complex systems easier for researchers and practitioners to use. - Improve recurring workflows through automation and effective tooling, increasing the division’s capacity and impact. - Communicate technical decisions clearly to both technical and non-technical partners and maintain focus as priorities evolve.

Requirements - Strong track record in software engineering, AI, or a related computer engineering field such as cybersecurity or MLOps. - Experience building and leading technical teams, from early-stage development through organizational growth. - Familiarity with relevant engineering tools or infrastructure; examples include Python, LLM APIs, evaluation frameworks, cloud platforms, and compute clusters. - Ability to succeed in fast-changing environments and communicate technical approaches to varied audiences. - Strong motivation to improve the safety of advanced AI systems and persistence in delivering ambitious outcomes.

Nice to have - Experience building, red-teaming, or evaluating frontier language models or agentic systems, or developing safeguards for them. - Background in security, adversarial machine learning, or discovering severe vulnerabilities in complex systems. - Experience building technical teams or products in entrepreneurial settings, collaborating with AI labs or governments, or publishing related research.

Benefits and work setup - Full-time role, remote globally in most countries, with timezone flexibility across North America, Europe, and Asia-Pacific. Visa sponsorship is available for in-person employees in the United States or Singapore. - Listed compensation is $225,000–$350,000 annually, depending on experience and location, with potential additional compensation for exceptional candidates. Work travel and equipment expenses are covered.