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Currently tracking 12 active AI roles, with 150 new openings in the last 4 weeks. Primary focus: Agent · Engineering.

Hiring
12 / 12
Momentum (4w)
↑+150
150 opens last 4w · 0 prior 4w
Salary range
—
Tracked since
Jun '25
last role today
Hiring velocityscroll left for older weeks
150 new roles
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Jobs (4)

12 AI · 150 total active
FilteredStageAgent×CountryNetherlands×Clear all
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Active onlyAI only (≥ 7)
Stage
AllData · 2Pretrain · 1Post-train · 1Agent · 7Ship · 1
Function
AllEngineering · 11Research · 1
Country
AllNetherlands · 7Israel · 5
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TitleStageFunctionLocationFirst seenAI score
Senior Machine Learning Scientist
Senior Machine Learning Scientist role focused on researching, designing, and developing core AI capabilities for an agentic platform at Booking.com. The role involves creating advanced agent strategies, context management, memory systems, and multi-agent patterns, enabling other teams to build and deploy AI agents without deep AI expertise. Emphasis on translating state-of-the-art techniques into production-grade, scalable capabilities.
AgentResearchAmsterdam, Netherlands6d ago9
Senior Machine Learning Scientist I
Senior Machine Learning Scientist role focused on designing, developing, and deploying agentic, ML-powered solutions for customer-facing applications within Booking.com's GenAI Applications team. Responsibilities include building agentic systems, developing evaluation strategies, and collaborating with cross-functional teams to drive business impact.
AgentEngineeringAmsterdam, NetherlandsMar 38
Senior AI Engineer
Senior AI Engineer to design and implement a next-generation People Assistant, a conversational AI platform for HR systems, focusing on orchestrating multiple AI agents for seamless employee interaction and transaction completion.
Agent
Engineering
Amsterdam, Netherlands
5d ago
7
Machine Learning Engineering Manager - Ranking and Recommendations track
Machine Learning Engineering Manager for the Ranking and Recommendations track at Booking.com. This role leads a team focused on foundational ML & Data layers for personalization systems, including search ranking and recommendations. Responsibilities include developing scalable ML infrastructure and pipelines, enabling ML scientists to productionize RecSys solutions, managing ML engineers and data engineers, and collaborating with stakeholders to translate business requirements into ML solutions. The role requires experience in leading ML engineering teams, deploying end-to-end ML models, and working with cloud frameworks and big data technologies.
AgentServeEngineeringAmsterdam, NetherlandsMar 37