资深资深机器学习工程师, 训练后
Senior Staff Machine Learning Engineer, Post Training
Airbnb 诞生于 2007 年，当时两位房东欢迎三位客人来到他们的旧金山家中，如今已发展到超过 500 万位房东，他们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，让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。从信任体系到支付，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 上获得最佳体验。
CS AI 产品团队通过采用生成式 AI 技术，推动 CSxAI（客户支持 x 人工智能）项目，实现智能、可扩展和卓越的服务体验。该团队开发并增强各种 AI 模型、机器学习服务和工具，包括大语言模型微调、对齐和优化、RAG/搜索、大语言模型评估和测试自动化、基于反馈的学习以及适用于 Airbnb 多种应用场景的防护机制。
你将带来的影响：
作为高级机器学习工程师，你将负责为多种使用场景微调最先进的大语言模型，并优化模型以在 Airbnb 的机器学习基础设施上进行高性能部署。你将与产品经理、软件工程师、数据科学家和运营团队合作，共同构思、设计和开发 AI 产品，如 AI 助手、自主代理、推荐系统、旅行规划等，这些产品将在旅游领域产生深远的影响。
典型工作日：
- 与大规模结构化和非结构化数据协作；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，使我们的团队能够紧跟快速发展的 AI 领域，并利用最优质的技术为客户提供价值。
- 持续评估最新的和即将发布的大规模基础模型，确保选择和优化最高质量的模型以提升性能和效率。
- 实地开发和规模化生产大语言模型和流水线，包括批量和实时用例。
- 推动产品关键的 AI 架构决策，并为 Airbnb 的机器学习平台架构和策略做出贡献。
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.
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.
Pay Range
$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.