Machine Learning Engineer II - Performance Marketing
Booking.com
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.
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.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
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.