FAQs
What is the location for the Machine Learning Scientist II position?
The position is based in Amsterdam.
What is the primary focus of the Recommendation Applications ML team?
The primary focus of the Recommendation Applications ML team is to enhance customer experience and user journey by developing scalable, reusable, state-of-the-art machine learning models that increase relevance and personalization.
What qualifications are required for this role?
A Master's, PhD, or equivalent experience in a quantitative field (such as Computer Science, Mathematics, Engineering, or Artificial Intelligence) is required, along with at least 3 years of relevant work experience.
Is experience with TensorFlow or PyTorch necessary?
While it is not strictly necessary, experience with TensorFlow or PyTorch is considered a strong plus.
What are the key responsibilities of this role?
Key responsibilities include developing machine learning models, defining and building proof-of-concepts, developing production-grade ML code, and collaborating effectively with diverse teams including engineers and product managers.
Are there any specific programming languages preferred for this role?
Yes, fluency in at least one programming language is required, with a strong preference for Python.
What benefits and perks does Booking.com offer?
Benefits include annual paid time off, generous leave schemes, hybrid working arrangements, discounts on products, and access to online learning platforms, among others.
How does Booking.com approach diversity, equity, and inclusion?
Diversity, Equity & Inclusion have been core to Booking.com's culture since day one, with a commitment to creating an inclusive environment that supports a diverse workforce.
What does the interview process for this role entail?
The interview process includes a coding interview, a system design interview, and a final behavioral interview.
Does this position offer relocation assistance?
No, this role does not come with relocation assistance.