Senior Machine Learning Engineer I

at  Bookingcom

Role Description:
You’ll be part of the GenAI Foundation team inside the Machine Learning Platform, a newly formed team that will be part of the central engine that powers Booking.coms machine learning and GenAI applications. In this team you will work on building components of the genAI lifecycle that will be used in other use-cases all across the company. You will work closely with the other teams in the platform and stakeholders in other areas of central tech and the different business verticals to develop the company’s genAI capabilities.
Senior Machine Learning Engineers are drivers of their discipline, generating significant business impact directly and indirectly, and crafts the direction of product initiatives by being driven and having full ownership of their projects - from ideation to collecting data, annotating, feature engineering, productionizing and training model pipelines, deploying experiments, measuring and iterating on them - as well as coaching other Machine Learning Engineers, Scientists, Data Engineers, Product Managers, etc to do the same.

• Work on innovative ML models, algorithms, and engineering approaches with the potential to impact our business. Execute applied research plans to understand, apply, test, evolve, and generalize these technologies into reusable frameworks.
• Build reliable and robust ML and AI solutions to address business problems, accounting for constraints of the production environment.
• Develop production-grade machine learning code, from models to features and pipelines, allowing for scalability, realtime, monitoring and retraining.
• Build readable and reusable code, applying in depth knowledge of business area tools and product needs. Choose the right technology or coding methodology by researching and understanding customer needs as well as refactor and simplify code (when necessary).
• Monitor product health, performance and business impact and act accordingly when requirements are not met.
• Solve issues by applying methods and insights gained from a variety of disciplines. Complete different tasks and navigate into several environments with a short adapting period.
• Continuously evolve their craft. Keep up to date with industry and academic standard methodologies, periodically explore new technologies, introduce them to the machine learning community and promote their application in areas where they can generate impact.
• Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing,onboarding and mentoring colleagues.
• Push for improvements, scaling and extending machine learning tooling and infrastructure, collaborating with the other central teams.