Machine Learning Engineer II - Machine Learning Platform

at  Bookingcom

Role Description:
At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends one makes. The journeys one takes. The sights one sees. And the food one samples. Through our products, partners and people, we are making it easy for everyone to experience the world..

KEY JOB RESPONSIBILITIES AND DUTIES

• Develop production-grade ML systems, from models to features and pipelines, accounting for reliability, scalability, real-time requirements, monitoring and retraining.
• Build readable and reusable code, applying code quality best practices and using standard libraries. Choose the right technology or coding methodology as well as refactor and simplify code when necessary.
• Take full ownership of your services end to end by actively monitoring the systems health, performance and business impact.
• Be responsible for business related data governance processes, the technical implementation and maintenance of data processing services and storage systems, and the implementation and maintenance of ML governance processes.
• Evaluate possible architecture solutions taking into account the business and technology requirements.
• Set the relevant service level objectives SLOs and act accordingly when they are not met.
• Build readable and reusable code, using the right technologies and coding methodologies applying knowledge of business area tools and product needs.
• 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.
• Contribute to the internal ML/AI community by sharing your knowledge and participating in our internal ML programs.
• Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
• Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of disciplines and related fields.
• Achieve mutually agreeable solutions by staying adaptable, communicating ideas in clear coherent language and practising active listening

ROLE QUALIFICATIONS AND REQUIREMENTS

• 3+ years of relevant work experience (or equivalent), involved with the application of Machine Learning to business problems in a commercial environment.
• Experience in areas like e.g. Recommender Systems, Deep Learning, Information Retrieval, Computer Vision, Speech Recognition, Causal Inference, MLOps, etc.
• Work experience (or equivalent), involved with the application of Machine Learning to business problems, preferably in a commercial environment.
• Knowledge 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.
• Strong working experience in one or more general purpose programming languages
• Experience of version control systems.
• Excellent English communication skills, both written and verbal.