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Staff/Lead LLM Data Scientist (Singapore based)

Оценка ИИ

Исключительная возможность для работы над инновационным продуктом в глобальной компании с полной поддержкой релокации и сильной инженерной культурой.


Вакансия из Quick Offer Global, списка международных компаний
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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена лидерской ролью (Staff/Lead) и необходимостью проектировать сложные LLM-системы с нуля для работы в реальном времени на огромных масштабах Agoda.

Анализ зарплаты

Медиана160 000 $
Рынок130 000 $ – 220 000 $
Оценка ИИ

Зарплата для позиций уровня Staff/Lead в Сингапуре в технологическом секторе является одной из самых высоких в регионе, часто дополняется значительными бонусами и акциями (RSU). Данная оценка соответствует рыночным стандартам для крупных международных компаний уровня Booking Holdings.

Сопроводительное письмо

I am writing to express my strong interest in the Staff/Lead LLM Data Scientist position at Agoda. With a robust background in building production-grade machine learning systems and a deep fascination with the evolving landscape of Large Language Models, I am eager to contribute to the development of your Personal Travel Assistant. My experience in designing RAG architectures and orchestrating complex agentic workflows aligns perfectly with Agoda's mission to revolutionize end-to-end trip planning.

Throughout my career, I have focused on turning ambiguous product requirements into scalable technical solutions. I am particularly drawn to this role because it offers the opportunity to work at the intersection of ML, product, and engineering within a high-scale environment like Booking Holdings. I am confident that my expertise in LLM evaluation and system design will help Agoda deliver a seamless and intelligent booking experience for millions of users worldwide.

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Откликнитесь в agoda уже сейчас

Присоединяйтесь к Agoda в Сингапуре и создавайте будущее путешествий с помощью передовых LLM-технологий!

Описание вакансии

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.

Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

Get to Know Our Team

Agoda, part of Booking Holdings, we're building a Personal Travel Assistant — an LLM powered product that plans trips end-to-end and enables users to seamlessly book flights, hotels, and activities, all in one experience.

This is a new product built from the ground up, operating directly in real booking flows at Agoda scale. You'll have real ownership over how the system is designed, built, and evolved, with the freedom to make meaningful technical and product decisions from day one.

This role is ideal for senior Data Scientists or ML practitioners who enjoy owning complex systems end-to-end and working at the intersection of ML, product, and engineering.

What You'll Do

  • Own end-to-end LLM systems: Design, build, and own LLM-based systems, from understanding user intent to planning multi-step trips and invoking internal systems to search, price, and book.
  • Turn ambiguity into production solutions: Translate open-ended product problems into concrete ML and LLM designs, balancing quality, latency, cost, and reliability in a real-world environment.
  • Drive cross-functional decisions: Partner closely with product, engineering, and leadership to make informed trade-offs that directly shape the product and user experience.
  • Iterate with real-world feedback: Ship quickly, learn from production usage, and continuously improve system behavior at scale.

What We're Looking For

  • Technical depth: Strong hands-on Data Science experience, including modeling, feature engineering, statistics, and experimentation.
  • LLM systems and evaluation: Experience building and operating production LLM systems (e.g., RAG, tool/agent orchestration, context and memory management), with a strong focus on evaluation, testing, and iteration — or the ability to ramp up quickly in parts of this space.
  • Problem-solving mindset: Excellent analytical and problem-solving skills, with comfort operating in open-ended problem spaces where requirements evolve.

Why This Role

  • Meaningful user impact: Help millions of travelers make better, more confident decisions for trips that matter to them.
  • High ownership, high impact: Your work will directly shape a system used in real booking decisions — not demos or prototypes.
  • Direct influence: Play a key role in both implementation and product direction.
  • Competitive compensation: Flexible leveling with compensation aligned to experience and impact.

If you’re excited about building real-world AI products at scale and owning systems that directly impact millions of travelers, we’d love to hear from you

We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.

Discover more about working at Agoda

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

Disclaimer

We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

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Навыки

  • Python
  • Machine Learning
  • LLM
  • Statistics
  • RAG
  • Feature Engineering
  • Data Science
  • Experimentation
  • Agent Orchestration

Возможные вопросы на собеседовании

Проверка опыта работы с современными LLM-стеками в продакшене.

Расскажите о вашем опыте проектирования и развертывания RAG-систем или агентных архитектур: с какими основными проблемами задержки (latency) вы сталкивались?

Важно понять, как кандидат измеряет успех модели в отсутствие простых метрик.

Как вы подходите к созданию системы оценки (evaluation) для LLM, когда ответы модели носят открытый характер и влияют на бизнес-транзакции?

Роль предполагает тесное взаимодействие с бизнесом.

Опишите случай, когда вам пришлось идти на технический компромисс ради продуктовых целей. Как вы обосновали это решение команде?

Проверка навыков работы с контекстом в сложных диалогах.

Как бы вы спроектировали управление памятью и контекстом для ассистента, который должен планировать многоэтапные поездки (перелет + отель + активности)?

Проверка фундаментальных знаний DS.

В каких случаях вы бы предпочли дообучение (fine-tuning) модели вместо использования сложных промптов или RAG?

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agoda
Страна
Сингапур