# Machine Learning Scientist II - Content Intelligence at Booking.com

Booking.com is hiring a Machine Learning Scientist II - Content Intelligence in Tel Aviv, Israel. Level rates it Builds AI ●●●●; you can [apply on Booking.com](https://jobsbylevel.com/go/4715394e-c045-4a5b-b313-ee182a7e3be3?utm_medium=ai-agent).

AI Level 4, AI centrality 100 out of 100. Tel Aviv, Israel.

## Details

- Company: [Booking.com](https://jobsbylevel.com/companies/booking-com)
- AI level: AI Level 4 (score 100 out of 100)
- Location: Tel Aviv, Israel
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/4715394e-c045-4a5b-b313-ee182a7e3be3?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=machine-learning-scientist-ii-content-intelligence-at-booking-com-2c995d

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/machine-learning-scientist-ii-content-intelligence-at-booking-com-2c995d

## Description

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. About the team: This opening is for the Supply Intelligence team within the Data & AI Marketplace department. The Supply Intelligence team builds the core AI intelligence layer powering the platform by transforming complex, multimodal booking data, including millions of customer reviews and property, attractions, city images into high-impact applications. You will be actively developing ML solutions and implementing reusable ML frameworks/GenAI pipelines end-to-end. Your work will directly power core features such as automated review summarization, AI-generated property descriptions, property embeddings, and intelligent photo gallery selection and optimization, image captioning, text sentiment, driving real-world business value through fast, incremental builds from MVP to production. Role Description: As a Machine Learning Scientist II, you will collaborate with cross-functional engineering and product teams to design, train, evaluate, and deploy scalable GenAI solutions for customer-facing products. In this role, you will build advanced NLP, computer vision, and LLM-driven agentic architectures, establish robust evaluation frameworks, and drive measurable business outcomes through data driven experimentation. Key Job Responsibilities and Duties: Hands-On Execution & Fine-Tuning: Directly write code to build, fine-tune, and optimize state-of-the-art LLMs and agentic workflows. Requirements to Incremental Builds: Translate product requirements into technical specifications and build solutions incrementally, starting with fast, functional MVPs and systematically evolving them into complex, scalable systems. Pragmatic, Applied Research: Lead lean, highly targeted research sprints to rapidly extract actionable insights and translate them directly into production code, balancing innovation with speed to production delivery. Problem-Solver Mindset: Take end-to-end ownership of technical challenges, using strong analytical debugging to overcome algorithmic, mathematical, and implementation bottlenecks. Production Evaluation: Set up rigorous evaluation pipelines, define concrete metrics including judge LLMS, and continuously benchmark models on real-world customer data to iteratively improve product performance. End-to-End Production & Engineering Collaboration: Work side-by-side with Machine Learning Engineers to optimize model latency and throughput, ensuring smooth deployment and high performance in live environments. Production-Grade Clean Code: Write modular, clean, and scalable code to build reusable ML frameworks, ensuring long-term maintainability and software engineering rigor. Qualifications & Skills: Bachelor’s or master’s degree in Computer Science, Engineering, Statistics, or a related field. Minimum of 3 years of experience as a Machine Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions to production. Strong understanding and practical experience with Generative AI models , Natural Language Processing and engineering aspects of developing ML. Experience executing research and development plans and contributing to large-scale ML applications. Experience on multiple ML facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development. Experience collaborating cross-functionally in the development of ML products (e.g. Developers, Product Managers, UX specialists, etc.). Strong working knowledge of Python, LangChain, SQL, and Spark or similar

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/machine-learning-scientist-ii-content-intelligence-at-booking-com-2c995d

Source: https://jobsbylevel.com/jobs/machine-learning-scientist-ii-content-intelligence-at-booking-com-2c995d

## Cite this page

Level. https://jobsbylevel.com/jobs/machine-learning-scientist-ii-content-intelligence-at-booking-com-2c995d.

Get job alerts: https://jobsbylevel.com/newsletter