高级机器学习工程师，支付
Senior Machine Learning Engineer, Payments
Airbnb成立于2007年，当时两位房东欢迎三位客人来到他们的旧金山住宅，如今已发展成为拥有超过500万房东的全球平台，在几乎每个国家都迎来了超过20亿次宾客到访。每天，房东们提供独特的住宿和体验，让宾客能够以更真实的方式与社区建立联系。
你将加入的团队：
支付是任何健康市场的关键，对我们Airbnb的产品同样至关重要。Airbnb的支付团队负责处理全球市场中的资金结算，并尽可能让支付体验变得愉悦、神奇、直观且易于使用。在支付建模团队中，我们的目标是通过引入智能和个性化功能，优化Airbnb庞大的每日交易量，以最佳方式从宾客处收取款项，向房东发放付款，同时防止欺诈交易的发生。
你将带来的影响：
作为支付部门的高级机器学习工程师，你将推动大胆的AI创新——如LLM驱动的工作流程、实时欺诈防御和高度个性化的结账流程——转化为生产系统，使Airbnb的支付体验感觉无缝且安全；你将设计并主导全局规模的端到端解决方案，与产品、软件和运营团队紧密合作，将复杂需求转化为优雅、低延迟的服务，并为模型治理、持续学习和工程卓越设定技术标准，提升整个支付生态系统，同时塑造公司更广泛的AI战略。
典型工作日：
- 领导LLM代理、实时异常检测器和其他突破性解决方案，解决现实问题并创造产品魔法。
- 与产品、工程、运维和数据科学团队合作，发现高杠杆机会，精炼AI/ML需求，做出有原则性的架构选择，并通过清晰的数据驱动指标衡量业务价值。
- 设计、训练、部署和运行大规模AI应用，处理批量和流式工作负载，确保低延迟、高可靠性，并通过自动化监控和重新训练循环实现持续改进。
- 指导和激励团队成员，营造一个协作、以实验为导向的环境，让前沿研究与生产卓越相结合，每位工程师都能在Airbnb推动AI的边界。
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:
Payments is key for any healthy marketplace, and is just as central to our product at Airbnb. The Payments org at Airbnb is responsible for everything related to settling money in Airbnb’s global marketplace and makes the Payment experience as delightful, magical, intuitive, and easy as possible. At the Payments modeling team, our goal is to empower the mission by introducing intelligences and personalizations that optimize Airbnb’s massive daily transaction volume to best collect payments from guests, distribute payouts to hosts while preventing fraudulent transactions from happening.
The Difference You Will Make:
As a Senior ML Engineer for Payments, you will be the catalyst that transforms bold AI innovation - LLMpowered workflow, realtime fraud defenses, and hyperpersonalized checkout flows - into production systems that make Airbnb Payment experience feel effortless and secure; you’ll architect and own end-to-end solutions at global scale, partner closely with product, software, and operations teams to turn complex requirements into elegant, latencyfirst services, and set the technical standard for model governance, continuous learning, and engineering excellence that elevates our entire payments ecosystem while shaping the company’s broader AI strategy.
A Typical Day:
- Spearhead LLM agents, realtime anomaly detectors, and other breakthrough solutions that solve real-world problems and create product magic.
- Collaborate with product, engineering, ops, and data science to spot high leverage opportunities, refine AI/ML requirements, make principled architecture choices, and measure business value with clear, data-driven metrics.
- Design, train, deploy, and operate large-scale AI applications for both batch and streaming workloads, ensuring low latency, high reliability, and continuous improvement via automated monitoring and retraining loops.
- Mentor and inspire teammates, fostering a collaborative, experimentation-driven environment where cutting edge research meets production excellence and every engineer is empowered to push AI boundaries at Airbnb.
Your Expertise:
- 5+ years of industry experience in applied AI/ML, inclusive MS or PhD in relevant fields.
- Strong programming (Python/Java) and data engineering skills.
- Proven mastery of modern AI/LLM workflows — prompt engineering, fine tuning (LoRA, RLHF), hallucination mitigation, safety guardrails, and rigorous online/offline testing to minimize training/inference drift and ensure reliable outcomes.
- Handson experience with at least three of the following: PyTorch/TensorFlow , scalable inference stacks, vector search, orchestration/MLOps platforms (Kubeflow, Airflow), largescale data streaming & processing (Spark, Ray, Kafka)
- Demonstrated success designing, deploying, and monitoring production AI systems - e.g. personalization engines, generative content services - complete with drift/cost/latency monitoring, automated retraining triggers, and cross-functional collaboration that translates ambiguous business needs into measurable AI impact.
- Prior knowledge of AI/ML Applications in the Payments domain is highly desirable
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.
Equal Employment Opportunity:
Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.
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
$191,000—$223,000 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.