研究工程师/研究科学家 - 个人AGI，北极星
Research Engineer/Research Scientist - Personal AGI, North Stars
关于团队
Personal AGI 团队致力于让全人类都能以他们选择的方式受益于前沿智能。我们负责训练模型，通过 ChatGPT、API 和未来产品部署给全球数百万用户。我们的目标是将 ChatGPT 从聊天机器人演变为一个无限能力且个性化的超级助手，支持人类繁荣发展。
我们专注于定义、衡量和提升整个训练堆栈中的能力。我们的关注领域包括但不限于模型行为、个性化、安全性、事实性、指令遵循、个性、互动性、多语言流利度、世界交互以及让代理服务普及到每个人。我们确定努力的方向。
我们与公司内部的研究和产品团队紧密合作，确保我们的模型安全、高效且可靠。
关于职位
你将在更广泛的 Personal AGI 研究组织内的 North Stars 团队担任研究工程师/科学家。你将通过缩小高级用户与普通消费者之间的能力差距，将下一代 AI 体验带给全人类，包括工具使用、功能发现、连接器和指令遵循等领域。你将深入思考模型行为的当前瓶颈，并将这些见解转化为稳健的评估、训练数据、奖励信号和模型及引擎改进。
我们寻找具有强大 ML 工程技能和研究经验、对创意、产品驱动型研究充满热情的人。
该职位位于加利福尼亚州旧金山。我们采用每周三天在办公室的混合工作模式，并为新员工提供搬迁协助。
在此职位中，你将：
- 拥有并推进一个研究议程，以提升模型能力和性能。
- 与其他研究和产品团队密切合作，使客户能够优化他们自己的模型。
- 构建稳健的评估体系来跟踪模型改进。
- 在我们的研究堆栈上设计、实现、测试和调试代码。
如果你具备以下条件，可能会在这个职位中表现出色：
- 深入理解机器学习及其应用。
- 具备相关模型的知识，并能构建用于提升模型能力的评估。
- 能够深入大型 ML 代码库进行调试。
- 在动态且技术复杂的环境中茁壮成长。
关于 OpenAI
OpenAI 是一家人工智能研究实验室，致力于开发和推广有益的人工智能。
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About the Team
The Personal AGI team seeks to empower all of humanity to benefit from frontier intelligence in whatever way they choose. We are responsible for training models to deploy to millions of users globally via ChatGPT, the API, and future products. We aim to evolve ChatGPT from a chatbot to an infinitely capable and personalized superassistant supporting human flourishing.
We work on defining, measuring, and improving capabilities across the training stack. Our focus areas include but are not limited to model behavior, personalization, safety, factuality, instruction following, personality, interactivity, multilingual fluency, world interaction, and bringing agents to everyone. We chart the course for what to strive towards.
We partner closely with research and product teams across the company ensuring that our models are safe, efficient, and reliable.
About the Role
You’ll work as a Research Engineer / Scientist on the North Stars team within the broader Personal AGI research org. You will work on bringing the next generation of AI-enabled experiences to all of humanity by closing the capability overhang between power users and the average consumer, including areas like tool-use, feature discovery, connectors, and instruction following. You will think deeply about the current bottlenecks in model behavior, translate these insights into robust evals, training data, reward signals, and model and harness improvements.
We're looking for individuals with strong ML engineering skills and research experience passionate about creative, product-driven research.
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.
In this role, you will:
- Own and pursue a research agenda to improve model capability and performance.
- Collaborate closely with the other research and product teams, allowing customers to optimize their own models.
- Build robust evaluations for tracking modeling improvements.
- Design, implement, test, and debug code across our research stack.
You might thrive in this role if you:
- Have a deep understanding of machine learning and machine learning applications.
- Have a working knowledge of relevant models, and building evaluations for model capability improvement.
- Are comfortable diving into a large ML codebase to debug.
- Thrive in a dynamic and technically complex environment.
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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OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf
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.