Machine Learning Engineer
Booking.com
mid-level
Location
Amsterdam, Netherlands
Work Type
Onsite
Seniority
mid-level
Posted
August 12, 2026
Total Compensation
€130,000
Yearly Savings (Comfortable)
€52,000
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Job Description
- As a Machine Learning Engineer at Booking.com, you will play a pivotal role in enhancing the travel experience for millions of users
- Your responsibilities include developing, training, and deploying advanced machine learning models to tackle complex problems such as fraud detection, personalized recommendations, and optimizing promotional campaigns
- You will collaborate closely with machine learning scientists, software engineers, and product managers to translate business challenges into machine learning solutions
- Additionally, you will engage in applied research to innovate and evolve new technologies, contributing to the development of reusable models
- Work in a multi-disciplined, highly skilled team where you will be developing scalable production-grade data and ML pipelines across the entire ML cycle while working closely with the teams’ applied machine learning scientists
- Work primarily with the Google Cloud Platform, utilizing and maintaining the infrastructure for technologies like BigQuery, DataProc, Cloud Composer, Airflow and diverse set of ML frameworks
- Be responsible for SLIs/SLOs for ML systems, ensure system and model health, monitor data quality, performance and business impact, and devise mitigation plans
- Drive a culture of quality for all ML practitioners, maintain data security, integrity and quality, and make choices over the right technologies and coding methodologies
- Identify underlying issues and opportunities across the ML development cycle and introduce tools to be used within and outside the team for efficient development and testing
- Continuously evolve your craft, keeping up to date with the latest technologies
- Collaborate with relevant ML teams across the company to improve, scale and extend machine learning tooling and infrastructure
Benefits
- Health insurance
- Free access to Headspace for you and your loved ones
- Global Employee Assistance Program
- Meditation and Breastfeeding rooms at the office
- Booking Cares - 2 days per year to volunteer and learn
- Life insurance
- Disability insurance
- Pension plan
- Annual paid time off
- Parental leave - 22 weeks
- Grandparent leave - 10 days
- Care leave - 10 days
- Bereavement leave - up to 4 weeks
- Anniversary leave
- Working from Home Furniture and Ergonomic Support
- Working from Abroad - up to 20 days per year
- Discounts & Wallet credits to spend on our products
- Upgrade to Booking.com Genius Level 3
- Friends & Family Booking.com discount vouchers
- Free access to online learning platforms
- Development and mentorship programs to support career growth
- Access to trainings and workshops
- Team development opportunities
- Local discount programs
- Game rooms in offices
- On-site meals, coffee and snacks including vegan options- Experience running Machine Learning systems in production is a must, with knowledge on how to generate predictions for ML frameworks with high throughput
- BSc or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fields
- Experience with data-driven product development: analytics, A/B testing, etc
- Excellent English communication skills, both written and verbal
- Experience working in a cloud environment is a plus
- You have a ‘can do’ attitude and you act proactively and not reactively
- Willingness to learn and understand complex and multidisciplinary business problems and concepts related to booking.com business operations especially in marketing and finance fields
- Strong working knowledge of big data retrieval and processing tools
- Strong skills in coding and problem solving. Proficiency in at least one programming language; preferably Python. Knowledge of Java is a plus
- Demonstrable experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization
- 3+ years of relevant work experience, involved with the application of Machine Learning Engineering to business problems in a commercial environment
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