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Machine Learning Engineer, Community Support Engineering
Airbnb — топовый мировой бренд с сильной инженерной культурой. Работа над Generative AI в такой компании предоставляет уникальный доступ к данным и возможность влиять на продукт мирового масштаба, при этом предлагается гибкий удаленный формат работы.
Сложность вакансии
Роль требует высокого уровня экспертизы в области LLM и Generative AI, а также опыта работы с крупномасштабными системами. Дополнительную сложность добавляет требование свободного владения двумя языками (английским и мандаринским) для кросс-регионального взаимодействия.
Анализ зарплаты
Зарплата для ML-инженеров в международных компаниях уровня Airbnb в Китае значительно выше среднего по рынку и часто включает существенный пакет акций (RSU). Указанный диапазон отражает рыночные стандарты для специалистов с опытом 2-4 года в технологических гигантах.
Сопроводительное письмо
I am writing to express my strong interest in the Machine Learning Engineer position within the Community Support Products team at Airbnb. With a solid background in developing large-scale ML systems and a deep passion for Generative AI, I am excited about the opportunity to contribute to Airbnb's mission of creating an intelligent and scalable service experience. My experience aligns well with your focus on LLM fine-tuning, RAG, and building agentic AI products.
In my previous roles, I have successfully owned the development of ML-powered products from inception to production, working closely with cross-functional teams. Being fluent in both English and Mandarin, I am well-prepared to collaborate effectively across your US and China regions. I am particularly drawn to Airbnb's commitment to long-term innovation and look forward to the possibility of applying my expertise in LLMs and search optimization to enhance the Guest and Host experience.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в airbnb уже сейчас
Присоединяйтесь к Airbnb и создавайте будущее клиентского сервиса с помощью передовых технологий 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 across regions( China and the US).
Your Expertise:
- PhD/Master’s degree, preferably in CS, or equivalent experience
- 2-4 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
- Fluency in both English and Mandarin is essential.
Your Location:
This position is China - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies.
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.
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Навыки
- Machine Learning
- Generative AI
- Large Language Models
- LLM Fine-tuning
- RAG
- Search
- Python
- Agentic AI
- Software Engineering
Возможные вопросы на собеседовании
Проверка практического опыта работы с современными архитектурами, упомянутыми в описании.
Расскажите о вашем опыте внедрения RAG (Retrieval-Augmented Generation) в продуктовых решениях. С какими основными проблемами вы столкнулись?
Вакансия подразумевает работу над CSxAI инициативами.
Как бы вы спроектировали систему оценки качества ответов LLM для чат-бота службы поддержки, чтобы минимизировать галлюцинации?
В описании указано владение английским и мандаринским как обязательное требование.
Был ли у вас опыт работы в распределенных командах между Китаем и США? Как вы справлялись с культурными и техническими различиями в подходах?
Упоминается работа с Agentic AI.
В чем, по вашему мнению, заключается главная сложность при переходе от простых чат-ботов к автономным AI-агентам в контексте клиентского сервиса?
Оценка навыков оптимизации моделей.
Какие методы оптимизации и дообучения (fine-tuning) LLM вы использовали для повышения производительности моделей при ограниченных вычислительных ресурсах?
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