Machine Learning Engineer

• 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 tools

• Experience running Machine Learning systems in production is a must, with knowledge on how to generate predictions for ML frameworks with high throughput

• 3+ years of relevant work experience, involved with the application of Machine Learning Engineering to business problems in a commercial environment

• Demonstrable experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization

• Experience with data-driven product development: analytics, A/B testing, etc

• 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

• Experience working in a cloud environment is a plus

• Excellent English communication skills, both written and verbal

• BSc or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fields

• Strong skills in coding and problem solving. Proficiency in at least one programming language; preferably Python. Knowledge of Java is a plus