Design, prototype, and evaluate machine learning models for travel products. Build maintainable training and inference code, participate in ML system and API design, prepare and analyze data, and collaborate with scientists, engineers, product partners, and mentors. Interns contribute to research and product experiments involving feature engineering, statistical methods, model evaluation, A/B testing, fairness, and production-aware AI/ML solutions.

Design, prototype, and evaluate machine learning models for travel products under experienced scientists’ guidance. Build maintainable training and inference code, conduct experiments and A/B tests, analyze and prepare data, perform feature engineering and error analysis, and contribute to ML system, API, and data design. Collaborate with scientists, engineers, product partners, and mentors to define metrics and develop robust, fair, production-aware AI solutions.

Software Development Engineering Interns design, develop, test, and debug software components and services under experienced engineers’ guidance. They contribute to frontend, backend, full-stack, data engineering, or machine learning projects; participate in API design, system design, data modeling, code reviews, and unit testing; and collaborate with cross-functional teams to deliver scalable travel technology solutions. Interns also apply data structures, algorithms, and AI-enabled tools while receiving structured training, mentorship, and career support.