Head of Engineering (Frontier Safety)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Remote globally. The role requires timezone flexibility across North America, Europe, and Asia-Pacific. US or Singapore visa sponsorship is available for in-person employees.
Salary: $225,000–$350,000/year depending on experience and location, with potential additional compensation for exceptional candidates.
Company
is a nonprofit AI research institute focused on AI safety, frontier model testing, red-teaming, evaluations, safeguards, and research for governments and leading AI companies.
What you will do
- Build and scale the engineering function for the Frontier Safety division, starting with a small team and expanding it over time.
- Develop red-teaming tools, evaluation systems, vulnerability databases, statistical analysis tools, reporting infrastructure, products, services, and agents.
- Build secure sandboxing and infrastructure for frontier AI evaluations, loss-of-control testing, CBRN and cyber evaluations, and safeguards research.
- Design systems that support external contributions, ecosystem integrations, privacy compliance, and reduced vulnerability exposure.
- Manage, mentor, and recruit engineers and future engineering managers while establishing high standards for velocity, rigor, judgment, and impact.
- Translate division strategy into scalable engineering plans, remove bottlenecks, and connect engineering systems with testing, research, partnerships, and real-world impact.
Requirements
- Strong track record in software engineering, AI, or another computer engineering discipline such as cybersecurity or MLOps.
- Strong experience managing, growing, and leading technical teams, including building startups from 0 to 1 and managing managers in scale-ups.
- Experience with parts of the stack, including coding agents, Python, LLM APIs, local LLM frameworks, evaluation frameworks, LLM agents, cloud infrastructure, compute clusters, Kubernetes, or Slurm; full-stack coverage is not required.
- Experience thriving in rapidly evolving environments and navigating shifting threat models and defenses.
- Demonstrated mission and impact orientation, with a desire to affect the safety and deployment of frontier AI systems.
- Ability to communicate technical solutions effectively to technical and non-technical audiences.
- Demonstrated relentlessness in achieving ambitious goals.
- Full-time availability: 40 hours per week.
Nice to have
- Experience building, red-teaming, or evaluating frontier LLMs or agentic systems, or building safeguards for them.
- Experience building technical teams and products in an entrepreneurial environment.
- Ability to discover non-obvious, high-severity vulnerabilities in complex systems.
- Experience in adversarial ML, security, collaboration with AI labs, security teams, or government safety institutes.
- Published work in AI safety, security, or robustness.
Culture & Benefits
- Mission-driven, high-impact work measured by real-world impact rather than revenue, clicks, or publication volume.
- Fast-moving, ambiguous environment with substantial ownership and collaborative technical direction.
- Employment through in the US, FAR.Singapore in Singapore, or an Employer of Record elsewhere.
- Work-related travel and equipment expenses are covered.
- Catered lunch and dinner are available at the Berkeley offices.
Hiring process
- Submit a CV and answers about interest in the role through the application form; do not email a resume separately.
- Selection includes a screening call, work tests, interviews, and a paid work trial.
- An alternative assessment may be available for candidates unable to participate in a work trial.
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