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Senior ML Engineer — travel recommendations
Senior ML Engineer — travel recommendations
Booking.com
This listing is optimized for AI-native talent : clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.
3 skills 1 tool
Workplace Hybrid
Location Herengracht 597, 1017 CE Amsterdam, Netherlands · Hybrid
Compensation EUR 90k–125k/year Benefits & perks Relocation support, hybrid, global travel data. How to apply Ranking or search experiment with online metrics.
Listed Aug 30, 2026 Booking.com is hiring a Senior Senior ML Engineer — travel recommendations on the Personalization team (Hybrid · Amsterdam, Netherlands). This is a hands-on role in LLM & generative AI —not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
Booking.com operates one of the world’s largest travel marketplaces with deep search and recommendation ML.
Senior ML engineers run ranking experiments on massive travel inventory.
What you will do
Ship production travel search and recommendations with offline evals, monitoring, and safe rollout. Work with product and domain experts on requirements and trade-offs. Improve data pipelines, labeling, and metrics tied to business KPIs. Document runbooks for on-call and customer-facing teams. What we look for
Strong Python and modern ML/LLM stack with shipped features. SQL, experimentation, and clear communication to stakeholders. Eligible to work in the listed country; professional English required. Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.
✓ You can show evidence in your application: Ranking or search experiment with online metrics. ✓ Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, and Spark. ✓ You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals. ✓ You are comfortable with the hybrid rhythm (Hybrid · Amsterdam, Netherlands)—onsite collaboration when it matters, deep work when remote. ✓ You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords. ✓ You read the full listing (comp: EUR 90k–125k/year, benefits in At a glance) and your expectations align. What the employer asked for
Ranking or search experiment with online metrics.
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Senior ML Engineer — travel recommendations
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