2 days ago

Senior Machine Learning Scientist - Marketplace

Booking.com

Amsterdam

2 days ago

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Booking.com seeks a Senior Machine Learning Scientist to research and develop core AI capabilities for the Agentic Modeling Team within the Data & AI Marketplace department. The role focuses on building advanced agent strategies, memory systems, and multi-agent patterns for a platform that empowers mission teams to create production-grade AI agents. Requires advanced NLP/LLM experience, production agentic AI systems, and strong Python skills.

AIHybridFull-timeSeniorMachine LearningNLP

Senior Machine Learning Scientist - Marketplace

Apply

AIHybridFull-timeSeniorMachine Learning

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

6 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

Machine LearningNLPAIO AgentsLLMPythonRetrieval-Augmented GenerationAgent PlanningReasoningTool Use

Soft Skills

Communication skillsLeadership skillsCross-functional collaboration

Key Responsibilities

•Research and develop advanced agent strategies - iterative planning, self-correction, multi-step reasoning, and conditional execution paths.
•Design and build context management and memory systems (session-level and long-term) that enable personalized, improving agent experiences.
•Research and implement multi-agent patterns - enabling specialized agents to collaborate, share context, and delegate sub-tasks.
•Help build systematic experimentation and optimization - model selection, strategy comparison, prompt engineering, and architecture decisions backed by quantitative analysis.
•Build reusable ML components that encode production best practices and are available to all teams through configuration.
•Collaborate closely with ML engineers to ensure research translates into production-grade capabilities with appropriate latency and reliability.
•Collaborate with cross-functional teams (product managers, mission teams, platform engineers) to translate business requirements into agent capabilities.

Machine LearningAI AgentsLLMNLPMarketplaceHybridSeniorPythonAgentic AI

Key Responsibilities

•Research and develop advanced agent strategies - iterative planning, self-correction, multi-step reasoning, and conditional execution paths.

•Design and build context management and memory systems (session-level and long-term) that enable personalized, improving agent experiences.

•Research and implement multi-agent patterns - enabling specialized agents to collaborate, share context, and delegate sub-tasks.

•Help build systematic experimentation and optimization - model selection, strategy comparison, prompt engineering, and architecture decisions backed by quantitative analysis.

•Build reusable ML components that encode production best practices and are available to all teams through configuration.

•Collaborate closely with ML engineers to ensure research translates into production-grade capabilities with appropriate latency and reliability.

•Collaborate with cross-functional teams (product managers, mission teams, platform engineers) to translate business requirements into agent capabilities.