The internship is open for PhD students in a machine learning related field like Planning with LLMs, Multilingual Training Adaptation, Recommender System and Ranking, Bidding, Synthetic Data Generation, Entity Representation Learning, Reinforcement learning and Classification.
Role Description:
As a Machine Learning Research intern at the headquarters of Booking.com in Amsterdam, you will have the opportunity to tackle real world problems by pushing the boundaries of the state-of-the-art, with the goal of publishing your work
Key Job Responsibilities and Duties:
- Work together with your project mentor and the team on an exciting project
- Be able to understand and extend the state of the art techniques to solve the project at hand
- Be able to publish your work in top conferences and journals
- Actively contribute to taking data science at Booking.com to the next level
Qualifications & Skills:
- Pursue your PhD degree in a quantitative field (e.g. Computer Science, Mathematics, Artificial Intelligence, Physics, etc).
- Ability to conduct research independently as evidenced by peer-review publication or similar track record.
- Excellent English communication skills, both written and verbal.
- Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
- Strong working knowledge of Python; Hadoop, SQL, Spark or similar big data technologies.
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive, as well unique-to-Booking.com benefits which include:
- Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide
- Working in a fast-paced and performance driven culture
- Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
- Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com
- Vast amounts of data to validate your ideas and the opportunity to experiment with real users.
- Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
- Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
Application Process:Let’s go places together:
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
