AI role · Open offer

Senior ML Engineer — travel recommendations

Market index

Booking.com

Full-time
Senior
Personalization
Hybrid
Herengracht 597, 1017 CE Amsterdam, Netherlands · Hybrid
EUR 90k–125k/year

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.

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: Herengracht 597, 1017 CE Amsterdam, Netherlands · Hybrid
Compensation: EUR 90k–125k/year
Experience level: Senior
Team: Personalization
Benefits & perks: Relocation support, hybrid, global travel data.
How to apply: Ranking or search experiment with online metrics.
Company site: www.booking.com
Listed: Jul 16, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

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.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

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.

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

SparkTool
Distributed feature generation and batch scoring on large tabular or event datasets.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

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.

Apply

Candidate accounts only: add your headline and bio on My account, and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Ranking or search experiment with online metrics.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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