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研究工程师 / 研究科学家 - 个人AGI、人格与模型行为

机器翻译
查看雇主原标题Research Engineer / Research Scientist - Personal AGI, Personality and Model Behavior

OpenAI · San Francisco · $380k – $500k

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

为什么值得关注?

发现指数 75/100,仅依据与该职位一起存储的证据计算。

75/100 发现指数
  • 新的雇主官方职位
  • 已披露薪资
  • 远程职位
  • 检测到搬迁支持关键词

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 已披露薪资+15
  • 远程职位+8
  • 提及搬迁+6
  • 稀有职位+5
  • 公司来源健康度+8

该职位未包含:提及签证担保、未出现在监控的职位板上。

这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。

职位描述

英文原文

该职位由雇主以英文发布,暂无中文版本,下面完整显示英文原文。 查看官方职位页面.

职位描述

About the Team The Personality & Model Behavior team, within OpenAI’s broader Personal AGI team conducts research on how to shape personalities and guide the behavior of models. We think about topics such as emotional intelligence, reasoning, and how models interact thoughtfully with users. We’re particularly interested in understanding how individual users want ChatGPT to behave, and creating personalized models that feel uniquely tailored to each user. We integrate this research into ChatGPT and other OpenAI products that are used by hundreds of millions of users. About the Role We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models, and in areas like reinforcement learning and reward modeling. An ideal candidate is passionate about product-driven research. In this role, you will: • Conduct research around personalization, personality, and model behavior by leveraging and developing tools such as synthetic data, reward modeling, and reinforcement learning.

• Build robust evaluations and model training pipelines to facilitate our research.

• Innovate new post-training methods.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you: • Have a deep understanding of machine learning and its applications.

• Have prior knowledge in training and optimizing models and building evaluations.

• Are willing to dive into large ML codebases to debug issues.

• Thrive in dynamic and technically complex environments.

• Have a track record of delivering innovative, out-of-the-box solu

岗位职责

We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models, and in areas like reinforcement learning and reward modeling. An ideal candidate is passionate about product-driven research. In this role, you will: • Conduct research around personalization, personality, and model behavior by leveraging and developing tools such as synthetic data, reward modeling, and reinforcement learning.

• Build robust evaluations and model training pipelines to facilitate our research.

• Innovate new post-training methods.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you: • Have a deep understanding of machine learning and its applications.

• Have prior knowledge in training and optimizing models and building evaluations.

• Are willing to dive into large ML codebases to debug issues.

• Thrive in dynamic and technically complex environments.

• Have a track record of delivering innovative, out-of-the-box solutions to address real-world constraints.

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 . 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. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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