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Agoda, headquartered in Singapore, is a leading online travel agency specializing in accommodation booking. With over 2 million properties listed globally, Agoda serves millions of customers, offering competitive pricing and a user-friendly platform. The company is a subsidiary of Booking Holdings, ...
Agoda offers competitive salaries, equity options, flexible remote work policies, and generous PTO. Employees also benefit from travel discounts and a...
Agoda fosters a culture focused on data-driven decision-making and customer-centric innovation. The company values diversity and encourages employees ...

Agoda • Bangkok (Central World Office)
Agoda is hiring a Senior/Staff Machine Learning Engineer to enhance their bidding systems. You'll work with Python, TensorFlow, and AWS to develop machine learning solutions. This role requires strong experience in data analysis and machine learning techniques.
You have 5+ years of experience in machine learning engineering, with a strong background in developing and deploying machine learning models in production environments. Your expertise in Python allows you to write clean, efficient code, and you are comfortable using libraries such as TensorFlow and Keras for model development. You understand the intricacies of data analysis and can manipulate large datasets using SQL and BigQuery to derive actionable insights.
You are familiar with cloud platforms, particularly AWS, and have experience deploying machine learning solutions in a cloud environment. Your knowledge of containerization tools like Docker enables you to create reproducible environments for your models. You are also proficient in version control systems like Git, ensuring that your code is well-managed and collaborative.
You possess strong analytical skills and can translate complex data into meaningful insights that drive business decisions. You are a proactive problem solver who enjoys tackling challenges and finding innovative solutions. You thrive in a collaborative environment and are eager to share your knowledge with your team, mentoring junior engineers and fostering a culture of learning.
Experience with A/B testing and experimentation frameworks is a plus, as is familiarity with data visualization tools to communicate findings effectively. Knowledge of additional machine learning frameworks or libraries would be beneficial, as well as any experience in the travel or e-commerce industry.
In this role at Agoda, you will be responsible for designing and implementing machine learning models that enhance our bidding systems, ultimately improving our pricing strategies and user experience. You will collaborate closely with product managers and data scientists to identify opportunities for machine learning applications within our business processes.
You will lead the development of end-to-end machine learning pipelines, from data collection and preprocessing to model training and deployment. Your work will involve experimenting with different algorithms and techniques to optimize model performance and ensure scalability.
You will also be tasked with monitoring model performance in production, conducting regular evaluations, and iterating on your solutions based on feedback and new data. Your insights will directly impact Agoda's ability to provide competitive pricing and improve customer satisfaction.
Collaboration is key in this role, as you will work alongside cross-functional teams to integrate machine learning solutions into existing systems. You will participate in code reviews and contribute to best practices in machine learning engineering, ensuring that your team adheres to high standards of quality and efficiency.
Agoda provides a dynamic work environment where innovation is encouraged, and your contributions will have a direct impact on our business. We offer competitive compensation and benefits, including relocation assistance for candidates moving to Bangkok. You will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in the field of machine learning.
Join us in our mission to bridge the world through travel, and be part of a diverse team that values creativity and collaboration. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective could be just what we need.
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