高级资深机器学习工程师，后训练方向
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Senior Staff Machine Learning Engineer, Post TrainingAirbnb · Remote - USA
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。
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职位描述
机器翻译Airbnb 诞生于 2007 年，当时两位房东在旧金山的家中接待了三位房客，此后已发展到超过 500 万名房东，在全球几乎每个国家接待了超过 20 亿人次房客入住。每天，房东们提供独特的房源和体验，让房客能够以更真实的方式与社区建立联系。
你将加入的社区：
机器学习和人工智能是 Airbnb 产品的核心。从信任到支付，从客户服务到市场营销，我们都依赖 ML 来确保房客和房东在 Airbnb 获得尽可能最佳的体验。
CS AI 产品团队负责推动 CSxAI（客户支持 x 人工智能）计划，通过采用生成式 AI 技术来实现智能、可扩展且卓越的服务体验。该团队开发和增强各种 AI 模型、ML 服务和工具，包括 LLM 微调、对齐和优化、RAG/搜索、LLM 评估和测试自动化、基于反馈的学习以及适用于 Airbnb 广泛应用的护栏。
你将带来的不同：
作为一名资深员工机器学习工程师，你将负责为多样化用例微调最先进的 LLM，同时针对 Airbnb 的 ML 基础设施上的高性能部署优化模型。你将与产品经理、软件工程师、数据科学家和运营团队合作，头脑风暴、设计和开发 AI 产品，例如 AI 助手、自主代理、推荐、旅行规划，以及许多在旅行领域产生有意义影响的产品。
典型的一天：
• 处理大规模结构化和非结构化数据；探索、实验、构建并持续改进用于 Airbnb 产品、业务和运营用例的基础模型。
• 制定多年技术路线图，使我们的团队能够保持在快速演变的 AI 格局的前沿，并利用一流技术为客户带来收益。
• 持续评估近期和即将推出的大型基础模型，确保选择和改进最高质量的模型，以提升性能和效率。
• 亲自动手进行原型设计、开发并将 LLM 模型和管道大规模产品化，包括批处理和实时用例。
• 推动产品的关键 AI 架构决策，并为 Airbnb 的 ML 平台架构和战略做出贡献。
你的专长：
• 计算机科学、机器学习、数学、统计学或相关技术领域的博士学位。
• 10 年以上开发和产品化大规模机器学习模型和产品、从启动到产生业务影响的经验。
• 具备 Python 编程经验，并有 PyTorch 等框架的实操经验。
• 在训练、微调、优化模型和推理运行时方面有可靠记录
• 在以下领域有后训练经验：用于微调的数据处理；负责任的 LLM；LLM 对齐；强化学习；高效训练和推理；语言模型评估；和/或多语言和多模态建模。
• 或在运行时优化、模型量化、压缩、端侧推理、GPU 推理、pytorch、内核开发方面有专业经验
你的工作地点：
该职位为美国 - 可远程。经与你的经理商定，该职位可能包括偶尔在 Airbnb 办公室工作或参加异地活动。虽然该职位可远程，但你必须居住在 Airbnb, Inc. 拥有注册实体的州。点击此处查看最新的排除州列表。该列表持续变化，因此如果你居住的州在排除列表中，请再次与我们确认。如果你的职位由另一个 Airbnb 实体雇用，你的招聘人员将告知你可以从哪些州工作。
我们对包容与归属的承诺：
Airbnb 致力于与尽可能广泛的人才库合作。我们相信多元化的想法能够促进创新和参与，并使我们能够吸引具有创意领导力的人才，并开发最好的产品、服务和解决方案。鼓励所有符合条件的个人申请。
我们也努力提供对残障人士包容的申请和面试流程。如果你是残障候选人，并且在提交申请时需要合理便利，请通过以下方式联系我们：reasonableaccommodations@airbnb.com。请包括你的全名、你申请的职位以及协助你完成招聘流程所需的便利。
我们请求你仅在你的残障使你无法完成我们的在线申请时才联系我们。 我们将如何照顾你：
我们的职位名称可能跨越多个职业级别。实际基本工资取决于许多因素，例如：培训、可迁移技能、工作经验、业务需求和市场需求。基本工资范围可能会发生变化，并可能在未来修改。该职位也可能有资格获得奖金、股权、福利和员工旅行积分。
薪资
$248,000 — $310,000 USD
合理便利：我们致力于在招聘流程中为残障申请人提供合理便利。如果你需要帮助或便利，请在有人就某个职位联系你时告知你的招聘人员。
关于招聘诈骗的说明：诈骗者有时会冒充 Airbnb 招聘人员，从候选人那里获取金钱或个人信息。对于 Airbnb 的招聘流程，有几件事始终属实：我们的空缺职位发布在 Airbnb 的职业页面上，网址为 careers.airbnb.com，我们的招聘人员只会从 @ airbnb.com 或 @ ext.airbnb.com 电子邮件地址联系。我们的招聘人员在面试期间绝不会询问你的社会安全号码、银行账户详细信息、护照或支付应用信息。我们也绝不会在面试过程中要求你支付费用、汇款、存入或兑现支票，或购买工作相关设备（例如公司笔记本电脑）。我们鼓励候选人对此类招聘诈骗保持警惕，如果你不相信某个人确实隶属于 Airbnb，请不要分享敏感信息。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
查看雇主原文
职位描述
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb.
The CS AI product team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb.
The Difference You Will Make:
As a senior staff machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. You will partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products such as AI Assistant, Autonomous agent, recommendation, travel planning, and many more products that make meaningful impacts in the world of travel.
A Typical Day:
• Work with large scale structured and unstructured data; explore, experiment, build and continuously improve foundation models for Airbnb product, business and operational use cases.
• Create a multi-year tech roadmap that enables our team to stay on the leading edge of the rapidly evolving AI landscape and leverage the best in class technologies to deliver customer benefits.
• Continuously evaluate recent and upcoming large foundational models, ensuring the selection and refinement of the highest quality models for enhanced performance and efficiency.
• Hands-on prototype, develop and productionize LLM models and pipelines at scale, including both batch and real-time use cases.
• Drive key AI architectural decisions for products, and contribute to Airbnb’s ML platform architecture and strategy.
Your Expertise:
• PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related technical field.
• 10+ years of experience with developing machine learning models and products at scale from inception to business impact.
• Programming experience in Python and hands-on experience with frameworks such as PyTorch.
• Proven record of training, fine tuning, optimizing models and inference run-time
• Post-training experience in areas like data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling.
• Or specialized experience in runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com . Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
薪资
$248,000 — $310,000 USD
Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.