- Company website link – https://www.agoda.com/
- Company name – Agoda
- Location – Bangkok (relocation provided)
- Company Office local Address – [Office address in Bangkok, Thailand]
- Country – Thailand
- Job Average Salary rate – ฿70,000–฿120,000 / month
- Currency- THB
(Engineer) Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
Our Purpose – Bridging the World Through Travel
We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
Get to Know Our Team
The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. 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 engineering team plays at Agoda is critical as business users, product managers, 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 ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
Excerpt from the official job listing (Engineer)
See full job description from the company website.
Job Summary
You will design, implement, and optimize bidding algorithms to support Agoda’s advertising systems. You must leverage machine learning methods to predict auction outcomes, manage budget constraints, and scale solutions under real-time constraints. Collaboration across engineering, product and data teams is essential.
About us
Agoda is a global travel-tech platform headquartered in Singapore, operating in dozens of markets with its Global Operations Centre in Bangkok. We serve millions of customers, offering hotels, flights, and experiences through scalable technology, local expertise, and 24/7 support.
Culture and work environment
We value technical excellence, ownership, and continuous learning. Diverse perspectives drive innovation, and you will work with teams distributed across markets. Open communication and data-driven decision making are embedded in daily operations.
Why Work With Us
Join Agoda to tackle challenging problems in real-time bidding, large-scale systems and ML modeling. You will grow through mentorship, influence product at scale, and benefit from relocation support and competitive pay.
Disclaimer
We aggregate publicly available job listings and link to the original source. We are not the hiring company and do not manage the recruitment process. Please apply only through the official careers website above.
A talented Senior ML Engineer role at Agoda in Bangkok with relocation support, ideal for engineers passionate about scalable ML and advertising systems, excellent benefits, and global impact.