高级机器学习工程师，辅助工程
Senior Machine Learning Engineer, Assistance Engineering
Airbnb成立于2007年，当时两位房东欢迎三位客人入住他们的旧金山住宅，如今已发展为拥有超过500万房东，在全球几乎所有国家都接待了超过20亿次客人入住。每天，房东们提供独特的住宿和体验，使客人能够以更真实的方式与社区建立联系。
你将加入的团队：
机器学习和人工智能是Airbnb产品的核心。从信任机制到支付，从客户服务到市场营销，我们依靠机器学习确保客人和房东在Airbnb上有最佳体验。
我们 Assistance Engineering 部门的机器学习团队负责采用代理AI技术，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 Human agent Assistant！该团队不断探索最先进的代理架构，开发和增强各种 AI 模型、ML 服务，并利用 SFT、强化学习、蒸馏、RAG/Search、LLM 评估和测试自动化、基于反馈的学习以及针对 Airbnb 各种应用的防护机制等工具。
你将带来的改变：
我们认为当前这些领域的客户体验只是创新可能性的冰山一角，而科学是推动 Airbnb 客户和房东体验实现跨越式发展的核心。
你将构建并利用最前沿的 AI 技术，通过提供个性化、易于使用且主动的客户服务体验来转变 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上线塑造这些想法，将愿景概念转化为有影响力的现实。
典型的一天：
- 推动新型 ML 系统、产品集成和性能优化的开发，解决现实问题
- 与产品、设计和其他工程团队跨职能合作，为 Airbnb CS 产品设计和构建高效的 AI 解决方案
- 与团队分享和学习最新的 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，6年以上相关工作经验——或同等的行业经验
- 在 LLM 方面有实际操作经验，包括预训练、微调、模型优化等
查看英文原文
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.
Pay Range
$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.