machine learning engineer for AI evaluation

Booking.com makes it easier for everyone to experience the world through its products, partners, and people.

• Track developments in Agentic AI, evaluation, and AI-assisted software engineering
• Work with product teams to shape AI evaluation strategies, including offline and online evaluation
• Build AI-first tooling, including skills, tools, and agent profiles, and develop reliable backend services and APIs
• Define technical direction through RFCs, designs, and architecture proposals
• Collaborate with ML teams across the company to improve, scale, and extend AI tooling and infrastructure
• Contribute to an AI-first engineering culture through code and architecture reviews
• Drive a culture of quality for all ML practitioners
• Identify issues and opportunities across the ML development cycle and introduce tools for efficient development and testing
• Keep up to date with the latest technologies
• Coach other Machine Learning Engineers, Scientists, and Product Managers

• 3+ Years of relevant commercial experience applying Generative AI and Machine Learning Engineering to business problems
• Strong coding and problem-solving skills
• Proficiency in at least one programming language; Python preferred
• Strong command of SQL is strictly required
• Experience across multiple machine learning areas, including large datasets, experimentation, scalability, and optimization
• Experience running Machine Learning systems in production and generating high-throughput predictions for ML frameworks
• Experience with data-driven product development, analytics, and A/B testing
• Willingness to learn complex, multidisciplinary business problems and concepts related to Booking.com’s operations, especially in marketing and finance
• Proactive, can-do attitude
• BSc or higher in Computer Science, Artificial Intelligence, Software Engineering, or a related field
• Excellent written and verbal English communication skills
• Будет плюсом: Java, experience working in a cloud environment

• Annual paid time off and generous paid leave, including parent, grandparent, bereavement, and care leave
• Up to 20 days per year working from abroad (home country)
• Product discounts up to 1400 per year, automatic Genius Level 3 status, and Booking.com wallet credit
• Work and live in Amsterdam
• Opportunity to work on a large-scale product used by millions of travelers worldwide
• Technical, behavioral, and interpersonal development opportunities through on-the-job learning, experimental projects, hackathons, conferences, and community participation
• Competitive compensation and benefits package
• This role does not come with relocation assistance; candidates must be currently based in the Netherlands to be considered