Research Engineer

📍 Paris | Full-time | Fluent 🇫🇷 & 🇬🇧 E-commerce is booming — but independent brands still struggle to match the seamless logistics of giants like Amazon. At Bigblue, we’re on a mission to change that. We help brands by democratizing best-in-class operations: scaling faster while delivering a five-star customer experience. Since 2018, we’ve built a tech-driven logistics platform powering 500+ brands — from fast-growing DTC players to global names like MUJI, Aigle, and Cabaïa. With 110+ employees across Paris, Madrid, and London, our proprietary WMS (Warehouse Management System) Atlas, and a network of 7 warehouses across Europe, we’re solving logistics challenges that others haven’t dared to tackle — making fulfillment faster, smarter, and greener. Backed by $20+M in funding and trusted by the next generation of e-commerce leaders, we’re scaling rapidly — from 10 million orders in 2024 toward ambitious enterprise expansion. The journey ahead is bold, and we’re looking for the right partner to help us lead the way. The Role As a Research Engineer, you will develop and maintain efficient and robust algorithms that significantly improve our warehouse operations. You'll work at the intersection of research and engineering, identifying optimization opportunities, collaborating with stakeholders on operational feasibility, and shipping solutions that have immediate, visible impact on our European fulfillment network. This is probably one of the highest-leverage job openings we have today – each percentage of performance we squeeze out of our algorithms allow us to scale even faster. What You Will Work On Identify optimization opportunities across our WMS algorithms Align with stakeholders on operational feasibility and discuss tradeoffs Develop and maintain efficient and robust algorithms that significantly improve our operations Collect feedback, measure performance and iterate based on real-world results