As an AI Engineer, you’ll design, build, and refine advanced AI models, including machine learning algorithms, predictive analytics, and natural language processing systems. Your work will directly enhance features such as personalized recommendations, dynamic pricing optimization, and real-time user interactions—shaping innovative AI-driven experiences that transform how users discover and book travel
Responsibilities
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Research, develop, and deploy state-of-the-art AI and machine learning models, including deep neural networks, predictive algorithms, and natural language processing systems, aimed at elevating user experience through sophisticated personalization and intelligent pricing predictions.
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Architect robust integrations of AI models into our core platform, working closely with our engineering teams to ensure seamless interoperability with hotel reservation systems, APIs, and data services.
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Conduct rigorous performance analysis and optimization, employing advanced methods such as hyperparameter tuning, model versioning, and monitoring to continuously enhance model accuracy, scalability, and efficiency.
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Collaborate cross-functionally with data engineers to maintain data pipelines, ensuring data integrity, consistency, and accessibility for model training, validation, and deployment processes.
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Stay at the forefront of AI advancements, proactively researching and evaluating cutting-edge developments in machine learning, deep learning, NLP, generative AI, and other relevant technologies to strategically inform our product evolution and maintain competitive leadership in AI-driven travel solutions.
Requirements
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a closely related technical discipline.
- 3+ years of proven experience designing, developing, and deploying production-grade AI and machine learning models.
- Expertise with modern AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, LangChain, Hugging Face, or equivalent technologies).
- Strong proficiency in Python and familiarity with model training pipelines, data preprocessing techniques, and deployment practices (Docker, Kubernetes, cloud deployment).
- Solid knowledge of core AI concepts, including supervised/unsupervised learning, NLP, computer vision, generative AI, and reinforcement learning.
- Demonstrated ability to effectively collaborate with engineering, data science, and product teams in integrating AI models into complex software ecosystems.
- Continuous learner, actively staying updated with cutting-edge AI research, frameworks, and methodologies to drive innovation and maintain technical excellence.
Nice to haves
While not specifically required, tell us if you have any of the following.
- Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
- Experience with recommendation systems, predictive analytics, or personalization algorithms, especially within consumer-facing platforms.
- Domain knowledge or previous experience in the hospitality or travel industry.
Compensation
9 to 12 million JPY annually.
