- Страна
- США
- Зарплата
- 204 000 $ – 255 000 $
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Staff Machine Learning Engineer - Community Support Engineering
Престижная компания, работа с передовыми технологиями (GenAI, Agents) и высокая заработная плата. Удаленный формат работы в США и сильный социальный пакет делают вакансию очень привлекательной для топ-специалистов.
Сложность вакансии
Роль уровня Staff требует не только глубоких технических знаний в области LLM и RAG, но и способности проектировать сложные системы с нуля, а также опыта руководства крупными проектами. Высокие требования к стажу (9+ лет) и экспертизе в Agentic AI делают эту позицию крайне сложной.
Анализ зарплаты
Предложенный диапазон ($204k - $255k) является конкурентоспособным для уровня Staff в крупных технологических компаниях США, хотя в некоторых Tier-1 компаниях (FAANG) базовая часть может быть выше. Однако с учетом бонусов и акций (Equity) совокупный доход будет соответствовать верхнему сегменту рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Machine Learning Engineer position within the Community Support Products team at Airbnb. With over 9 years of experience in building large-scale ML systems and a deep focus on Generative AI, I am excited by the opportunity to drive CSxAI initiatives. My background in fine-tuning LLMs and developing RAG-based architectures aligns perfectly with your mission to deliver a proactive and personalized service experience for millions of hosts and guests.
In my previous roles, I have successfully led the transition of visionary AI concepts into production-ready software systems. I am particularly impressed by Airbnb's commitment to using Agentic AI to solve complex marketplace problems. I am confident that my expertise in scalable ML-powered products and my passion for staying at the forefront of AI innovation will allow me to make a significant contribution to your engineering organization.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в airbnb уже сейчас
Присоединяйтесь к команде Airbnb и создавайте будущее клиентского сервиса на базе Generative AI!
Описание вакансии
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 Community Support Products (CSP) 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
- 6/9+ 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.
Pay Range
$204,000—$255,000 USD
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Навыки
- Machine Learning
- Generative AI
- Large Language Models
- RAG
- Search
- Python
- Software Engineering
- Agentic AI
- LLM Evaluation
- Fine-tuning
Возможные вопросы на собеседовании
Для роли Staff важно понимать, как кандидат выбирает между готовыми решениями и собственной разработкой в контексте LLM.
Как бы вы спроектировали систему оценки качества ответов LLM для службы поддержки Airbnb, чтобы минимизировать галлюцинации?
Проверка опыта работы с современными архитектурами поиска.
Какие стратегии индексации и поиска в RAG-системах наиболее эффективны для работы с динамически меняющейся базой знаний Airbnb?
Оценка навыков масштабирования и оптимизации.
Опишите ваш опыт оптимизации задержки (latency) при выводе (inference) крупных языковых моделей в высоконагруженных системах.
Проверка понимания концепции Agentic AI, упомянутой в вакансии.
В чем заключаются основные риски при внедрении автономных AI-агентов в процесс взаимодействия с клиентами и как их нивелировать?
Оценка лидерских качеств и кросс-функционального взаимодействия.
Расскажите о случае, когда вам пришлось убеждать руководство или смежные команды в необходимости изменения архитектуры ML-продукта. Каков был результат?
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- Страна
- США
- Зарплата
- 204 000 $ – 255 000 $