Machine Learning Scientist - Trust & Safety

• Translate business needs into ML/AI challenges, creating targeted research plans and innovative models for both immediate impact and long-term value.
• Develop and deploy state-of-the-art ML/AI solutions, including NLP and active learning, to optimize Trust & Safety and drive business value.
• Drive the end-to-end execution of the ML/AI development process on specific products, from understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline.
• Conduct data analysis with detailed metrics to improve data quality, do feature exploration, evaluate model's performance, etc.
• Build readable and reusable code, using the right technologies and coding methodologies applying knowledge of business area tools and product needs.
• Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI disciplines and related fields.
• Support others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
• Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies and upskilling on these, as needed.

• Advanced knowledge and experience in Deep Learning, Natural Language Processing techniques, Active Learning, Optimization or similar.
• Ability to define a machine intelligence strategy on a specific product by identifying short-term development steps that create immediate business value and build upon each other to create longer-term differentiation.
• Ability to execute end-to-end research and development plans and generate impact through large-scale machine learning model development.
• Relevant work or academic experience (MSc + 3 years of working experience, or PhD), involved in the development and application of Machine Learning.
• Strong working knowledge of big data technologies.
• Strong working knowledge of Python, AWS, SQL, Spark or similar technologies.
• Excellent English communication skills, both written and verbal.
• Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels.

Benefits & Perks - Global Impact, Personal Relevance:

• 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 - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit.
• Living and working in Amsterdam, one of the most cosmopolitan cities in Europe.
• Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide.
• Working in a fast-paced and performance driven culture.
• Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit.
• Promote and drive impactful and innovative engineering solutions.
• Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation.
• Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com.

* 12,000 employees, About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. Through our products, partners and people, we make it easier for everyone to experience the world., Welcome to the world of Booking.com Compass. This is the space and community we have created at Booking.com for all of you who have just started navigating your first career journey.