Machine Learning Engineer II

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 you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower everyone to experience the world.

About The Team

The opening is for the Recommendation Platform team in the Central Tech department. The team is responsible for building and enabling ML decisioning for personalized recommendations across the site, and taking a key role in the new GenAI project - The AI Trip Planner. You’ll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, training and deploying personalized recommendation models using the most advanced technologies and models.

Key Job Responsibilities And Duties

• Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets for model features and data monitoring. Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.
• Model evaluation and optimization: Conduct detailed model evaluation metrics and validation to ensure accuracy, reliability, and scalability. Optimize model performance by fine-tuning hyper parameters, feature engineering, and applying techniques such as ensemble learning and continuous learning.
• Building machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide personalized recommendations to users.
• Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
• Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.
  
  

• Bachelor’s or master’s degree in computer science, Engineering, Statistics, or a related field.
• Minimum of 5 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
• Strong programming skills in languages such as Python and Java.
• Experience with cloud frameworks like AWS sagemaker and training models using TensorFlow, PyTorch, or scikit-learn.
• Experience with data at scale using MySQL, Pyspark, Snowflake and similar frameworks.
• Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib.
• Deep understanding of machine learning algorithms, statistical models, and data structures.
• Experience with experimental design, A/B testing, and evaluation metrics for ML models.
• Experience of working on products that impact a large customer base is an advantage
• Excellent communication in English; written and spoken