Senior Machine Learning Engineer

• Over bol - ESG - Life at - Verhalen - Over bol - Onze cultuur - Diversiteit & Inclusie - Wat je ervoor krijgt - Life at Senior Machine Learning Engineer Build scalable recommendation systems that help millions of customers discover the products they need, when they need them. - Tech - Data Science - Bachelor / Master - 4.800-6.000 - Utrecht - 7-10+ jaar How do you make our customers happy? With 13 million customers, 129 million visits per month and about 41 million products on display, bol is the most successful online retail platform in the Netherlands and Belgium. Team Recommendations helps customers navigate that scale by making product discovery more personal, relevant and timely. That means combining data, machine learning and engineering craft to make life easier and more fun for customers, while learning fast and sharing what works along the way. Get to know Data Science The biggest challenge The biggest challenge is helping customers discover the right products and content at the right moment in their journey. That can mean supporting a purchase decision, completing an order, or inspiring a customer to explore more of our assortment. With millions of products, thousands of partners and changing customer intent, this is not a trivial problem. You will help us detect where customers are in their journey, generate recommendations that are relevant and commercially viable, and serve them in real time with models that are fast, reliable and scalable. What you will do as Senior Machine Learning Engineer Team Recommendations creates personalised and non-personalised recommendations for customers across bol. We work across the full data science life cycle: understanding current solutions and hurdles, experimenting with better approaches, aligning with stakeholders, and bringing the most promising solutions into production. As a Senior Machine Learning Engineer, you turn complex machine learning ideas into rel...

How to apply

Online application form,Telephone

Tel: +31306008888