Head of Engineering, Red Team

🔥 20 hours ago

🌏 Anywhere in the World

💵 $225k - $350k / year

⏰ Full Time

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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FAR.AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

📚 Education

🤝 Non-profit

Artificial Intelligence • Education • Non-profit

FAR. AI is a research and education non-profit organization focused on ensuring advanced artificial intelligence is safe and beneficial for everyone. It conducts technical research on robustness, deception, interpretability, and evaluation of frontier AI systems, runs events and workshops that convene academic and industry leaders, and operates programs (like FAR. Labs and grantmaking) to support researchers and build capacity in trustworthy AI. FAR. AI also publishes findings, provides training and policy-facing convenings, and collaborates with universities and agencies to advance secure, aligned AI.

📋 Description

• Build and scale the FAR.AI Red Team engineering organization, systems, tools, products, services, evaluations, and agents • Develop agentic red-teaming systems to systematically explore attack spaces • Identify new public jailbreaks and automatically integrate them into red-teaming systems • Advance attacker simulation and output harmfulness evaluation • Maintain and evolve vulnerability databases, statistical analysis tools, and reporting infrastructure • Build systems supporting high-stakes red-teaming engagements with frontier AI companies and governments • Support public reports, benchmarks, and leaderboards • Contribute to red-teaming closed- and open-weight frontier models • Build agentic workflows that accelerate red-team work • Manage, mentor, and support engineering and red-teaming individual contributors • Plan sprints and lead engineering execution • Create scalable processes for high-tempo engagements • Design hiring pipelines and hire engineering managers and other roles • Identify engineering bottlenecks and implement solutions • Partner with technical leadership on engineering systems, methodology, evaluations, and research • Contribute to red-team technical and product strategy • Translate technical ideas and findings into real-world impact

🎯 Requirements

• Strong track record in software engineering, AI, or another computer engineering discipline (e.g. cybersecurity, MLOps) • Strong track record of managing, growing, and leading technical teams, including building start-ups (0 → 1) and managing managers • Experience with coding agents, Python, LLM APIs, local LLM frameworks, evaluation frameworks, LLM agents, cloud infrastructure, and compute clusters • Experience thriving in rapidly evolving environments • Demonstrated drive for mission and impact in frontier AI systems • Ability to communicate technical solutions to technical and non-technical audiences • Demonstrated relentlessness in achieving ambitious goals • Experience building or red-teaming frontier LLMs or agentic systems is a plus • Experience building technical teams and products in an entrepreneurial environment is a plus • Ability to discover non-obvious, high-severity vulnerabilities in complex systems is a plus • Experience in adversarial ML or security is a plus • Prior collaboration with AI labs, security teams, or government safety institutes is a plus • Published work in AI safety, security, or robustness is a plus • Some timezone flexibility expected • Full-time availability (40 hours/week)

🏖️ Benefits

• Work-related travel expenses paid • Equipment expenses paid • Catered lunch and dinner at the office in Berkeley • Visa sponsorship for the US or Singapore • Paid work trial