高级机器学习工程师,辅助工程
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Senior Machine Learning Engineer, Assistance EngineeringAirbnb · 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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发现指数 50/100,仅依据与该职位一起存储的证据计算。
- 新的雇主官方职位
- 远程职位
分数构成
- 时效性 (随职位发布时间变化)+18
- 雇主官方来源+15
- 远程职位+8
- 稀有职位+1
- 公司来源健康度+8
该职位未包含:已披露薪资、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。
我们在 Assistance Engineering 的 ML 团队负责采用 Agentic AI 技术,以实现智能、可扩展且卓越的客户服务体验。我们负责开发 Chat AI 助手、Voice AI 助手和人工客服助手!该团队不断探索 SOTA Agentic 架构,开发并增强各种 AI 模型、ML 服务,并利用 SFT、强化学习、蒸馏、RAG/Search、LLM 评估与测试自动化、基于反馈的学习以及 guardrail 等工具,应用于 Airbnb 的广泛场景。
你将带来的改变:
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。
你将处理的许多项目仍处于早期概念阶段。你将有机会从构思到生产全程塑造这些想法,将富有远见的概念转化为有影响力的现实。
典型的一天:
• 主导开发新颖的 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:
• 计算机科学、机器学习、人工智能或相关技术领域的博士或硕士学位,并具有 6 年以上工作经验——或同等行业经验
• 在 LLM 方面具备实操专长,包括预训练、微调(SFT、RLHF、GRPO)、提示工程、RAG 架构和 LLM 评估框架
• 具有构建 Agentic AI 系统的经验——包括多智能体编排、工具使用、规划、记忆和自主推理流程(例如 ReAct、LangGraph、AutoGen 或类似技术)
• 具有大规模交付生产级 ML/AI 系统的经验,并深入理解 ML 基础设施、模型服务和 MLOps 最佳实践
• 出色的沟通能力,能够与工程、产品和设计组织有效协作
你的工作地点:
该职位为美国 - 可远程。根据与经理的约定,该职位可能包括偶尔在 Airbnb 办公室工作或参加 offsite 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。该列表持续更新,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,并可能在未来进行修改。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
$196,000 — $227,000 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,请在招聘人员就某个职位联系你时告知他们。
关于招聘诈骗的说明:诈骗者有时会冒充 Airbnb 招聘人员,从候选人那里骗取钱财或个人信息。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通过 @ 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.
Our ML team in Assistance Engineering is the team responsible for adopting the Agentic AI technologies to enable an intelligent, scalable and exceptional customer service experience. We are responsible for developing the Chat AI assistant, Voice AI Assistant and Human agent Assistant! The team is constantly exploring the SOTA Agentic architecture, develops and enhances various AI models, ML services and leverages tools including SFT, Reinforcement learning, Distillation, 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:
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:
• Champion 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 or Master's degree w/ 6+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field — or equivalent industry experience
• Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks
• Experience building Agentic AI systems — including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines (e.g., ReAct, LangGraph, AutoGen, or similar)
• Experience of shipping production-grade ML/AI systems at scale, with deep understanding of ML infrastructure, model serving, and MLOps best practices
• Excellent communication skills with the ability to collaborate effectively across Engineering, Product, and 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
$196,000 — $227,000 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.