Booking.com
The Netherlands / Global
The Netherlands / Global
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
Strong working knowledge of big data retrieval and processing toolsExperience running Machine Learning systems in production is a must, with knowledge on how to generate predictions for ML frameworks with high throughput3+ years of relevant work experience, involved with the application of Machine Learning Engineering to business problems in a commercial environmentDemonstrable experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimizationExperience with data-driven product development: analytics, A/B testing, etcWillingness to learn and understand complex and multidisciplinary business problems and concepts related to booking.com business operations especially in marketing and finance fieldsYou have a ‘can do’ attitude and you act proactively and not reactivelyExperience working in a cloud environment is a plusExcellent English communication skills, both written and verbalBSc or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fieldsStrong skills in coding and problem solving. Proficiency in at least one programming language; preferably Python. Knowledge of Java is a plus
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The Netherlands / Global
The Netherlands / Global
The Netherlands / Global
The Netherlands / Global
The Netherlands / Global
Rotterdam / Global