# Senior Machine Learning Engineer I - GenAI Applications Teams at Booking.com

Booking.com is hiring a Senior Machine Learning Engineer I - GenAI Applications Teams in Tel Aviv, Israel. Level rates it Builds AI ●●●●; you can [apply on Booking.com](https://jobsbylevel.com/go/e09d26c3-fe80-4abb-9bb6-7dc55be26f7b?utm_medium=ai-agent).

AI Level 4, AI centrality 92 out of 100. Tel Aviv, Israel.

## Details

- Company: [Booking.com](https://jobsbylevel.com/companies/booking-com)
- AI level: AI Level 4 (score 92 out of 100)
- Location: Tel Aviv, Israel
- Posted: July 19, 2026
- Apply: https://jobsbylevel.com/go/e09d26c3-fe80-4abb-9bb6-7dc55be26f7b?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-machine-learning-engineer-i-genai-applications-teams-at-booking-com-f01c1f

## Prepare for this job

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## 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 GenAI Applications Teams within the Data & AI Marketplace department. The GenAI Applications teams are responsible for designing and delivering agentic, ML-powered solutions for some of our most impactful products, including booking search experiences, trip planning, and customer service. The teams build AI-driven applications and conversational agents, such as chatbots and intelligent assistants that significantly enhance the end-to-end customer experience. Role Description: As a Senior Machine Learning Engineer , you will work closely with top notch engineers and data scientists to design, develop, evaluate and deploy Gen AI-powered solutions for scalable, customer-facing applications. Your work will focus on building and applying state-of-the-art agentic capabilities to drive business impact and improve efficiency. Key Job Responsibilities and Duties: Design, develop, and deploy high-quality, performant, and efficient Generative AI-powered solutions and agentic systems into production environments. Evaluate and define optimal architectural solutions by considering emerging technologies, business needs, and technical requirements for latency, throughput, and scale. Own services end-to-end, including implementing robust monitoring and maintenance strategies to ensure application and ML health, quality, and performance. Write and maintain clean, scalable, and well-tested production code, ensuring reproducibility and seamless integration via CI/CD pipelines. Pioneer and promote best practices and the adoption of cutting-edge technology in GenAI application development. Collaborate effectively with Product Managers, Data Scientists, and Analysts to understand business requirements and translate them into technical ML and agentic solutions. Provide technical guidance and mentorship to other engineers, contributing to the team's overall technical development. Qualifications & Skills: Bachelor’s or master’s degree in Computer Science, Engineering, Statistics, or a related field. Minimum of 6 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions to production. Experience of working on products that impact a large customer base. Demonstrable experience and capabilities with Generative AI applications, including Large Language Models (LLMs), Agentic Systems, and MCP in production environments. Experience deploying large-scale language models (e.g., GPT, BERT, or similar architectures) - an advantage. Deep understanding of core machine learning algorithms, statistical models, evaluation methods, and data structures. Experience in designing, building, and deploying models using cloud frameworks (e.g., AWS Sagemaker) and standard ML libraries (e.g., TensorFlow, PyTorch, or scikit-learn). Strong programming proficiency in languages such as Python and Java. Strong coding practices, including writing and reviewing production-quality, maintainable, and well-tested code, with the ability to effectively leverage modern AI coding assistants while maintaining high standards for correctness, readability, and system design. Experience with big data processing frameworks (e.g., Pyspark, Apache Flink, Snowflake) and demonstrable experience with relational/NoSQL database systems (e.g., MySQL, Cassandra, DynamoDB). Excellent English communication and presentation skills, both written and verbal. Proficiency in data manipulation, analysis, and visualization using tools like NumPy,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-machine-learning-engineer-i-genai-applications-teams-at-booking-com-f01c1f

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