Staff/Lead LLM Data Scientist (Singapore based)

Agoda

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, operates at the cutting edge of tech innovation. Work and build LLM-powered features that enable users to seamlessly book flights, hotels, and activities in an all-in-one experience. Build solutions 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.     PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   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.

Agoda

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 The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. The Opportunity We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.  In This Role, You’ll Get to * Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. * Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation. * Work with developers and a variety of business owners to deliver daily results with the best quality. * Research discover and harness new ideas that can make a difference What You’ll Need to Succeed * 4+ years hands-on data science experience. * Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. * Significant proficiency in SQL and languages like Python, PySpark and/or Scala. * Can lead, work independently as well as play a key role in a team. * Good communication and interpersonal skills for working in a multicultural work environment. It’s Great if You Have * PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields * Experience in NLP, image processing and/or recommendation systems * Hands on experience in data engineering, working with big data framework like Spark/Hadoop * Experience in data science for e-commerce and/or OTA #singapore     PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   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.

Breeze

Are you passionate about solving complex challenges in the fintech space? We’re looking for talented individuals to join our dynamic startup, backed by Sequoia Capital. We’re building the universal payment layer to unify all currencies—fiat and crypto—so businesses and consumers can transact seamlessly. If you're passionate about creating innovative solutions in a dynamic, fast-paced environment, we want to talk to you. We are hiring a Staff Software Engineer! As a Software Engineer at Breeze, you’ll take ownership of building and scaling the systems that power our payments and fintech platform. You’ll work across the stack using modern technologies to deliver secure, high-performance solutions while influencing technical direction and product strategy. In this senior role, you’ll collaborate closely with product, design, and fellow engineers, mentor teammates, and help shape the engineering culture as we grow. This is a hands-on opportunity to have a major impact at a fast-moving, Sequoia-backed startup. What You’ll Do: * Work on building our payment system, ensuring scalability, security, and performance. * Engage in fullstack development with React.js and TypeScript on the frontend, and Node.js and TypeScript on the backend, using serverless infrastructure. * Collaborate closely with cross-functional teams to deliver high-impact solutions. * Take ownership of your work as a product engineer, influencing both technical direction and product design. * Communicate effectively with stakeholders to ensure alignment on goals and outcomes. * Adapt to new challenges in a dynamic startup environment where we move fast and innovate constantly. What We're Looking For: * At least 9 years of professional experience in software engineering, ideally in the fintech or payments industry and in fast-paced or startup environments. * Strong problem-solving skills and attention to detail, with a track record of owning and delivering complex features or systems. * Excellent communication skills – critical for working closely with cross-functional teams and contributing to product decisions. * A deep understanding of building scalable, reliable systems and familiarity with cloud-based or serverless infrastructure. * Experience in cryptocurrency or blockchain is a plus. * A product-focused mindset and a drive to build high-quality, user-centric solutions. * A passion for working in a dynamic startup environment and solving complex challenges. * We have a high hiring bar for engineers and are looking for top talent. Our Culture: * Fast-paced and dynamic – We’re a growing startup that moves quickly. * Tech-driven – We leverage technology to address our users’ biggest challenges. * Ownership and communication – We value people who take full ownership and communicate well across teams. * Continuous learning – You’ll have the opportunity to work alongside industry experts and enhance your expertise in risk management. Why Join Us: * Competitive salary + equity plan * 21 days PTO * Benefits: annual medical allowance, productivity budget, gym membership & wellness subsidy * Annual team retreat trip * Be part of a team backed by Sequoia Capital with a healthy runway. Requirements: * 9+ years of relevant software engineering experience, ideally in the fintech or payments industry and in fast-paced or startup environments. * Proficiency in modern backend development.  * Exposure to serverless infrastructure is a plus. * Bachelor's degree or equivalent practical experience. * Work visa sponsorship available. Apply now and help us build the future of payments at a global scale!