Head of Engineering (Red Team)

The posting, as FAR.AI wrote it

ABOUT US

FAR.AI http://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 https://www.far.ai/about/team, published 40+ academic papers https://scholar.google.com/citations?user=FVJ24k8AAAAJ, and convened leading AI safety events https://far.ai/events/. Our work is recognized globally, with publications at premier venues such as NeurIPS, ICML including a Best Paper Honorable Mention in 2026 https://icml.cc/virtual/2026/oral/71065, and ICLR, and features in the Financial Times https://www.ft.com/content/175e5314-a7f7-4741-a786-273219f433a1, Nature News https://www.nature.com/articles/d41586-024-02218-7, Wired Magazine https://www.wired.com/story/jailbreaking-ai-models-google-anthropic-openai-spacexai/ and MIT Technology Review https://www.technologyreview.com/2020/02/28/905615/reinforcement-learning-adversarial-attack-gaming-ai-deepmind-alphazero-selfdriving-cars/. We conduct pre-deployment testing on behalf of frontier developers such as OpenAI, independent evaluations for governments including the EU AI Office https://www.far.ai/news/far-ai-selected-to-lead-eu-ai-act-cbrn-risk-consortium, and publish the AI Security Leaderboard https://leaderboard.far.ai/ based on our red-teaming expertise. We help steer and grow the AI safety field through developing https://arxiv.org/abs/2405.06624 research https://arxiv.org/abs/2506.20702 roadmaps https://www.researchgate.net/publication/396910034_Open_Technical_Problems_in_Open-Weight_AI_Model_Risk_Management with renowned researchers such as Yoshua Bengio; running FAR.Labs https://www.far.ai/programs/far-labs, an AI safety-focused co-working space in Berkeley housing 40+ members; and supporting the community through targeted grants https://www.far.ai/programs/grantmaking to technical researchers.

HEAD OF ENGINEERING (RED TEAM)

FAR.AI is seeking a Head of Engineering (Red Team) to scale one of the world’s most impactful frontier AI red-teaming programs. This role focuses on building the engineering and execution engine that enables and empowers the red team’s work across testing, tools, products, services, and research. The systems and the team you build will enable the division to execute on high-stakes engagements with frontier AI companies and leading governments, provide these stakeholders critical insights and tools, and consistently create the most progress towards safe AI of any red-teaming group globally. This is an opportunity to shape how AI safety is practiced at the frontier, with real impact on industry behavior, governments, public awareness, and global norms.

ABOUT RED-TEAMING AT FAR.AI

FAR.AI’s red team is building toward a simple outcome: materially raising the bar for safety and security of the mo
[…]
lessness in achieving ambitious goals. It is a plus (but not required) if you have:

• Experience building or red-teaming frontier LLMs or agentic systems;
• Experience building technical teams and products in an entrepreneurial environment;
• Demonstrated ability to discover non-obvious, high-severity vulnerabilities in complex systems;
• Other experience in closely related areas like adversarial ML or security;
• Prior collaboration with AI labs, security teams, or government safety institutes;
• Published work in AI safety, security, or robustness.

LOGISTICS

If based in the USA or Singapore, you will be an employee of FAR.AI http://FAR.AI (501(c)(3) research non-profit / non-profit CLG). Outside the USA or Singapore, you will be employed via an EOR organization on behalf of FAR.AI http://FAR.AI or as a contractor.

• Location: Remote globally. We can sponsor US or Singapore visas. The current red team spans North America, Europe, and Asia-Pacific, so some timezone flexibility is expected.
• Hours: Full-time (40 hours/week).
• Compensation: $225,000 to $350,000 per year. Compensation is determined by our salary bands and your level of experience, with adjustments for location. We also pay for work-related travel and equipment expenses, and offer catered lunch and dinner at our office in Berkeley.
• Application process: Apply by submitting a CV and answering our questions around your interest. From there: a short screening call, work tests, interviews, and finally a paid work trial. If you are not available for a work trial we may be able to find alternative ways of testing your fit.

If you have any questions about the role, feel free to contact us at talent@far.ai. Otherwise, if you don't have questions, the best way to ensure a proper review of your skills and qualifications is by applying directly via the application form. Please don't email us to share your resume (it won't have any impact on our decision). Thank you!