Head of Engineering – Frontier Safety

🔥 15 hours ago

🇺🇸 United States – Remote

💵 $225k - $350k / year

⏰ Full Time

🔴 Lead

👮‍♀️ Software Engineering Manager

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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

• Serve as the senior technical owner of engineering for FAR.AI’s Frontier Safety division • Report to Kellin Pelrine with a dotted line to Edward Yee • Translate technical strategy and priorities into a world-class engineering organization, systems, and execution • Build and scale red-teaming tools and products • Operationalize systems for attacker simulation and output severity evaluation • Maintain and evolve vulnerability databases, statistical analysis tools, and reporting infrastructure • Develop automated red-teaming, jailbreak-integration, and workflow agents • Build, test, and refine secure sandboxing architecture for evaluating advanced AI systems • Extend infrastructure and tooling for CBRN, cyber, and loss-of-control evaluations • Design architecture for external platform contributions and AI evaluation ecosystem integrations such as Inspect • Integrate engineering systems with testing workflows, private disclosures, public reports, benchmarks, and leaderboards • Build and manage an engineering team of individual contributors, then hire or grow managers • Mentor and manage team members and create resources for skill growth and knowledge transfer • Design hiring pipelines and serve as hiring manager for engineers, engineering managers, and other roles • Contribute to division-wide technical and product strategy • Identify, prioritize, and solve engineering bottlenecks • Partner with division leadership on technical direction, engineering systems, red-teaming methodology, evaluations, safeguards, and research • Work with the company engagements and testing team to improve feedback loops • Partner with FAR.AI teams to translate technical ideas and findings into real-world impact

🎯 Requirements

• Strong track record in software engineering, AI, or another computer engineering discipline such as cybersecurity or MLOps • Strong track record of managing, growing, and leading technical teams, including building start-ups from 0 → 1 and managing managers in scale-ups • Experience with coding agents such as Claude Code, Codex, or Cursor • Experience with Python • Experience with LLM APIs such as OpenAI, Anthropic, or Google • Experience with local LLM frameworks such as vLLM • Experience with evaluation frameworks such as Inspect • Experience with LLM agents such as OpenClaw • Experience with cloud infrastructure such as GCP • Experience with compute clusters such as Kubernetes or Slurm • Experience thriving in rapidly evolving environments • Demonstrated mission and impact orientation focused on frontier AI systems • Ability to communicate technical solutions to technical and non-technical audiences • Demonstrated relentlessness in achieving ambitious goals • Leadership experience • Willingness to build an engineering team from a small starting team • Willingness to work at the required velocity in an ambiguous, rapidly changing environment • Preferred: experience building, red-teaming, or evaluating frontier LLMs or agentic systems, or building safeguards • Preferred: experience building technical teams and products in an entrepreneurial environment • Preferred: ability to discover non-obvious, high-severity vulnerabilities in complex systems • Preferred: experience in adversarial ML or security • Preferred: prior collaboration with AI labs, security teams, or government safety institutes • Preferred: published work in AI safety, security, or robustness • Full-time availability, 40 hours/week • Ability to work with timezone flexibility across North America, Europe, and Asia-Pacific

🏖️ Benefits

• Work-related travel expenses paid • Work-related equipment expenses paid • Catered lunch and dinner at the Berkeley office • Visa sponsorship for in-person employees in the US or Singapore • Full-time employment benefits through FAR.AI, FAR.Singapore, or an Employer of Record depending on location • Paid work trial • Remote work globally • Flexible timezone arrangement across North America, Europe, and Asia-Pacific

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