- 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.
- 3+ years of relevant work experience, involved with the application of Machine Learning Engineering to business problems in a commercial environment.
- Strong skills in coding and problem solving. Proficiency in at least one programming language; preferably Python and strong command of SQL is strictly required. Knowledge of Java is a plus.
- Strong working knowledge of big data retrieval and processing tools
- Demonstrable experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization.
- Experience running Machine Learning systems in production is a must, with knowledge on how to generate predictions for ML frameworks with high throughput.
- Experience with data-driven product development: analytics, A/B testing, etc.
- Experience working in a cloud environment is a plus.
- Willingness to learn and understand complex and multidisciplinary business problems and concepts related to booking.com business operations especially in marketing and finance fields
- You have a ‘can do’ attitude and you act proactively and not reactively.
- BSc or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fields.
- Excellent English communication skills, both written and verbal.
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards strive to make it easier to experience all that life has to offer on your terms so that you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:
- Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam.
- Opportunity to work on a high scale, sophisticated, outstanding product and see the real time impact of your work on millions of travelers worldwide.
- Be part of a truly international fast paced environment and performance driven culture.
- Full relocation support for you and your family to move to Amsterdam. We have fine-tuned this process by successfully relocating over 300 Technology professionals to Amsterdam in the last year alone!
- Performance-based company that offers 29 vacation days, career advancement, and lucrative compensation, including bonuses and stock potential.
- Discount on Booking.com accommodations with the “Booking Deal” including other perks and benefits for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit.
- Company-sponsored family and social activities to help our employees become integrated with each other and Dutch culture.
- Diverse and creative colleagues from every corner of the world.
- Health, life, and disability insurance*
- Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.
- Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).
- Industry leading product discounts
- Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership
- On-site meals, coffee, and snacks, including healthy and vegan options, daily*
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
