Machine Learning Engineer II - Performance Marketing

Booking.com

Amsterdam

3 weeks ago

Amsterdam

3 weeks ago

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Machine Learning Engineer II - Performance Marketing

Booking.com seeks a Machine Learning Engineer for the Performance Marketing team in Amsterdam. The role involves developing production-grade ML systems for online bidding, collaborating with ML scientists and engineers, and contributing to applied research. Requires 4+ years of ML experience, strong Python/Java skills, and cloud frameworks expertise.

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Hybrid

Full-time

Mid Level

Python

Java

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

4 years

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

PythonJavaGCPAWSTensorFlowPyTorchscikit-learnBigQueryPySparkSnowflake

Soft Skills

communicationcoachingadaptabilityactive listening

Preferred Qualifications

Technical (Nice-to-have)

NumPypandasmatplotlib

Key Responsibilities

•Develop production-grade ML systems, from models to features and pipelines, accounting for reliability, scalability, real-time requirements, monitoring and retraining.
•Build readable and reusable code, applying code quality best practices and using standard libraries.
•Take full ownership of your services end to end by actively monitoring the systems health, performance and business impact.
•Be responsible for business related data governance processes, the technical implementation and maintenance of data processing services and storage systems, and the implementation and maintenance of ML governance processes.
•Evaluate possible architecture solutions taking into account the business and technology requirements.
•Set the relevant service level objectives SLOs and act accordingly when they are not met.
•Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies.
•Contribute to the internal ML/AI community by sharing your knowledge and participating in our internal ML programs.
•Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
•Achieve mutually agreeable solutions by staying adaptable, communicating ideas in clear coherent language and practising active listening.

Machine Learning EngineerPerformance MarketingAmsterdamHybridOnline AdvertisingGCPAWSPythonJavaTensorFlow

Key Responsibilities

•Develop production-grade ML systems, from models to features and pipelines, accounting for reliability, scalability, real-time requirements, monitoring and retraining.

•Build readable and reusable code, applying code quality best practices and using standard libraries.

•Take full ownership of your services end to end by actively monitoring the systems health, performance and business impact.

•Be responsible for business related data governance processes, the technical implementation and maintenance of data processing services and storage systems, and the implementation and maintenance of ML governance processes.

•Evaluate possible architecture solutions taking into account the business and technology requirements.

•Set the relevant service level objectives SLOs and act accordingly when they are not met.

•Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies.

•Contribute to the internal ML/AI community by sharing your knowledge and participating in our internal ML programs.

•Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms.

•Achieve mutually agreeable solutions by staying adaptable, communicating ideas in clear coherent language and practising active listening.