资深机器学习工程师,辅助工程
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Staff Machine Learning Engineer, Assistance EngineeringAirbnb · San Francisco, CA
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 42/100,仅依据与该职位一起存储的证据计算。
- 新的雇主官方职位
分数构成
- 时效性 (随职位发布时间变化)+18
- 雇主官方来源+15
- 稀有职位+1
- 公司来源健康度+8
该职位未包含:已披露薪资、远程职位、提及签证担保、提及搬迁、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
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。
协助工程机器学习团队是核心团队,负责通过采用生成式 AI 技术推动 CSxAI(客户支持 x 人工智能)计划,以实现智能、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。
Airbnb 数据的丰富性、其市场的复杂性以及我们产品固有的多样性,意味着我们需要在 AI 实践的最前沿运作。我们致力于投资长期创新,以解决我们面临的复杂问题,为此我们需要最优秀的 ML 和 AI 专家加入我们。
你将带来的不同:
我们相信,我们目前在这些领域的客户体验仅仅触及了可能实现的创新的表面,而科学是为 Airbnb 的房客和房东带来阶跃式变革的核心。
你将构建并利用前沿 AI 技术,通过提供个性化、易用且主动的客户服务体验,来变革 Airbnb 的客户服务。
你将处理的许多计划都处于早期概念阶段。你将有机会从构思到生产塑造这些想法,将富有远见的概念转化为有影响力的现实。
典型的一天:
• 构想、倡导并支持开发新颖的 ML 系统、产品集成和性能优化,以解决现实世界的问题
• 与产品、设计和其他工程同事跨职能合作,为 Airbnb CS 产品设计和构建高效的 AI 解决方案
• 与团队学习和分享最新的 AI/ML 技术。
你的专长:
• 博士/硕士学位,最好为计算机科学专业,或同等经验
• 9 年以上 ML 工程经验,并负责过大规模软件系统的所有权职责
• 具备设计和开发 AI 与 ML 系统及服务的背景,并对构建高效且可扩展的 ML 驱动产品充满热情
• 具有 LLM 驱动的聊天机器人和 Agentic AI 产品经验者将是一个很大的加分项
• 出色的沟通能力,以及能够在团队内部并与工程、产品和设计组织中的团队良好合作的能力
你的地点:
该职位为美国 - 可远程。该职位可能包括偶尔在 Airbnb 办公室工作或参加异地活动,具体需与你的经理商定。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主导力的人才,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。
我们请求你仅在你作为候选人因残障而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,并可能在未来被修改。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
$212,000 — $260,000 USD
合理便利:我们致力于在整个招聘过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后告知你的招聘人员。
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。我们的招聘人员在你面试期间绝不会询问你的社会安全号码、银行账户详情、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,或购买与工作相关的设备(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 Assistance Engineering Machine Learning team is the core team 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 and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb.
The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.
The Difference You Will Make:
We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb.
You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience.
Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.
A Typical Day:
• Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
• Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products
• Learn and share the latest AI/ML technologies with the team.
Your Expertise:
• PhD/Master’s degree, preferably in CS, or equivalent experience
• 9+ years of ML engineering experience, with ownership responsibility over large-scale software systems
• Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products
• Experience with LLM driven chatbot and Agentic AI products would be a big plus
• Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations
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
$212,000 — $260,000 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.