模型政策经理，代理安全
Model Policy Manager, Agentic Safety
关于团队
我们的安全系统团队 https://openai.com/safety/safety-systems 致力于推动 OpenAI 构建和部署安全的通用人工智能（AGI），致力于 AI 安全，并培养信任和透明的文化。
在安全系统团队中，模型政策小组致力于确保日益强大的模型在现实环境中安全可靠地运行。我们研究新兴的模型故障，定义模型应表现出的行为，并开发数据、评估、监控和保障措施，以改进和验证这些行为。我们的工作将对齐研究与训练和部署前沿模型的实际挑战联系起来。
关于职位
在这个职位上，你将塑造 OpenAI 如何理解和应对随着模型变得更加自主并在更长的时间范围内运行时出现的现实风险。你将研究在扩展轨迹中出现的不一致行为——包括模型持续追求错误目标、采取不安全的捷径、失去对指令的跟踪、利用环境中的弱点或规避限制——并将这些见解转化为行为政策、评估、监控和保障措施。这个职位适合希望将对齐和安全问题转化为前沿 AI 系统具体、实证基础改进的人选。
你的职责包括：
- 识别模型与工具、数据和外部系统交互时出现的漏洞，并将其转化为模型和系统级别的保障措施。
- 开发威胁模型和实证框架，以理解不一致行为导致的有害结果。
- 建立理解由模型不一致引发的有害结果的框架。
- 识别导致这些结果的基本行为和系统条件。
- 将发现转化为政策框架、评估标准、在线测量和保障措施。
- 开发人类数据活动和黄金集，以支持对新兴行为和风险的测量和评估。
- 与研究、工程、安全和产品团队合作，制定模型和系统安全方案，在安全、实用性与业务风险之间做出艰难的权衡。
- 为部署决策、系统卡片、保障报告以及 OpenAI 更广泛的代理安全方法提供信息。
- 建立监控方法，以检测部署后的回归和新兴风险。
查看英文原文
About the Team
Our Safety Systems https://openai.com/safety/safety-systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.
Within Safety Systems, the Model Policy team works to ensure that increasingly capable models behave safely and reliably in real-world environments. We investigate emerging model failures, define the behavior models should exhibit instead, and develop the data, evaluations, monitoring, and safeguards needed to improve and validate that behavior. Our work connects alignment research with the practical challenges of training and deploying frontier models.
About the Role
In this role, you will shape how OpenAI understands and addresses real-world risks that emerge from model misalignment as models become more autonomous and operate over longer horizons. You will investigate how misaligned behavior emerges across extended trajectories - including when models persist toward the wrong objective, take unsafe shortcuts, lose track of instructions, exploit weaknesses in their environment, or circumvent constraints - and translate these insights into behavioral policies, evaluations, monitoring, and safeguards. This role is ideal for someone who wants to turn alignment and safety concerns into concrete, empirically grounded improvements to frontier AI systems.
Your Responsibilities:
- Identify vulnerabilities that emerge as models interact with tools, data, and external systems, and translate them into model- and system-level safeguards.
- Develop threat models and empirical frameworks for understanding harmful outcomes from misaligned behavior.
- Build frameworks for understanding harmful outcomes arising from model misalignment.
- Identify the underlying behaviors and system conditions that drive those outcomes.
- Turn findings into policy frameworks, evaluation criteria, online measurement and safeguards.
- Develop human data campaigns and gold sets to ground measurement and evaluation of emerging behaviors and risks.
- Partner with research, engineering, security, and product teams to shape model and system safety, balancing difficult trade-offs between safety, utility, and business risk.
- Inform deployment decisions, system cards, safeguards reports, and OpenAI’s broader approach to agentic safety.
- Build monitoring approaches that detect regressions and emerging risks after deployment.
We’re seeking someone who:
- Brings a strong background in AI agent safety, privacy, security, cybersecurity, or adjacent fields, with the adversarial mindset needed to investigate real-world harmful outcomes.
- Has demonstrated interest in AI alignment and a strong understanding of the technical drivers of misaligned model behavior.
- Has enough technical fluency to work directly with evaluation and training data, understand what the data is showing, and identify limitations, patterns, and opportunities for deeper investigation.
- Is comfortable working hands-on with model data and evaluation results, including inspecting examples, analyzing failure patterns, assessing data quality, and distinguishing policy failures from grader, model, or system failures.
- Uses empirical evidence to develop and refine safety policies and safeguards.
- Can translate complex or ambiguous alignment risks into precise behavioral expectations and measurable evaluation criteria.
- Works effectively across research, engineering, security, product, and policy.
- Communicates clearly about complex and uncertain technical risks.
- Enjoys fast-paced, collaborative research environments where priorities shift as models, evidence, and risks change.
Our relevant publications:
- Safety and alignment in an era of long-horizon models https://openai.com/index/safety-alignment-long-horizon-models/
- Accelerating the cyber defense ecosystem that protects us all https://openai.com/index/accelerating-cyber-defense-ecosystem/
- Safety at every step https://openai.com/safety/
- OpenAI GPT5.6 System Card https://deploymentsafety.openai.com/gpt-5-6
- OpenAI Model Spec https://openai.com/index/introducing-the-model-spec/
Workplace & Location
This role is based in our San Francisco office. We do encourage you to apply even if you prefer a different work location as factors may change over time.
We offer relocation support to new employees, and we use a hybrid model: three days in the office per week with optional work from home on Thursdays and Fridays.
Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, a private outdoor space for working in the sun or socializing, nap rooms, private bike storage, and more.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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