About Us

FAR.AI is a non-profit AI research institute working to ensure advanced AI is safe and beneficial for everyone. Our mission is to facilitate breakthrough AI safety research, advance global understanding of AI risks and solutions, and foster a coordinated global response.

Since our founding in July 2022, we've grown to 50+ staff, published 40+ academic papers, and convened leading AI safety events. Our work is recognized globally, with publications at premier venues such as NeurIPS, ICML including a Best Paper Honorable Mention in 2026, and ICLR, and features in the Financial Times, Nature News, Wired Magazine and MIT Technology Review. We conduct pre-deployment testing on behalf of frontier developers such as OpenAI, independent evaluations for governments including the EU AI Office, and publish the AI Security Leaderboard based on our red-teaming expertise. We help steer and grow the AI safety field through developing research roadmaps with renowned researchers such as Yoshua Bengio; running FAR.Labs, an AI safety-focused co-working space in Berkeley housing 40+ members; and supporting the community through targeted grants to technical researchers.

The Role

As Head of Engineering (Frontier Safety), you will be the senior technical owner of engineering for the FAR.AI Frontier Safety division, reporting to Kellin Pelrine with a dotted line to Edward Yee. You will partner closely with Kellin, the division’s technical lead, translating broader technical strategy and priorities into a world-class engineering organization, systems, and execution. You will build the engineering team and the systems to test critical safeguards of the next generation of AI models, evaluate their most dangerous capabilities, and help close the gaps we find.

Key Responsibilities

• Building a scalable technical engine.
• Building a world-leading engineering team.
• Shaping technical strategy and organization scaling.

Required Qualifications

Strong candidates for this role typically have many (but not necessarily all) of the following:

• Have a strong track record in software engineering, AI, or another computer engineering discipline (e.g. cybersecurity, MLOps);
• Have a strong track record of managing, growing, and leading technical teams;
• Have experience with parts of the tech stack we commonly use.

Preferred Qualifications

It is a plus (but not required) if you have:

• Experience building, red-teaming, or evaluating frontier LLMs or agentic systems;
• Experience building technical teams and products in an entrepreneurial environment;

Logistics

If you are based in the US, you will be a full-time employee of FAR.AI, a 501(c)(3) nonprofit. If you’re based in Singapore, you will be an employee of FAR.Singapore. If based elsewhere, you will be employed via an Employer of Record. We sponsor visas for in-person employees, and can hire remotely in most countries.