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Amsterdam
8 Apr 2026
Machine Learning Scientist II logo

Machine Learning Scientist II

Booking.com

Amsterdam
8 Apr 2026
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Machine Learning Scientist II

Machine Learning Scientist II role at Booking.com in Amsterdam, focusing on building, training, and deploying ML models across areas like recommender systems, NLP, and deep learning. Requires 3+ years of relevant experience, advanced ML knowledge, and skills in Python, Java, and big data technologies.

On-siteFull-timeMid LevelMachine LearningCausal Inference

Machine Learning Scientist II

Machine Learning Scientist II role at Booking.com in Amsterdam, focusing on building, training, and deploying ML models across areas like recommender systems, NLP, and deep learning. Requires 3+ years of relevant experience, advanced ML knowledge, and skills in Python, Java, and big data technologies.

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On-siteFull-timeMid LevelMachine Learning

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Experience Required

3 years

Employment Type

Full-time

Experience Level

3+ years of relevant work experience

Core Qualifications

Technical (Must-have)
Machine Learningcausal inferenceuplift modellingoptimizationRecommender systemsrankingNLPLLMGenAIComputer vision
Soft Skills
collaborationcommunicationcross-functional collaborationproblem solvingleadershipentrepreneurial spirit
Tools (Must-have)
PythonJavaKafkaHadoopSQLSparkversion control systems

Preferred Qualifications

Technical (Nice-to-have)
Deep learningReinforcement learningmulti-armed banditssupervisedsemi-supervisedunsupervisedclassificationregressionclustering

Key Responsibilities

  • •Explore and apply state-of-the-art techniques in multimodal machine learning
  • •Train innovative ML models, build algorithms, and engineering approaches to drive business impact
  • •Coding skills: ensure implementation of reusable frameworks (clean and scalable code)
  • •Conduct data analysis with detailed metrics to evaluate model’s performance, labels quality, features exploration
  • •Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production
  • •Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions
Machine LearningSoftware DevelopmentAmsterdamFull-timeOn-sitePythonJavaBig DataAIResearch
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