Senior Machine Learning Engineer - Transport Network and Planning

Zalando, a leading European e-commerce fashion platform, is seeking a Senior Machine Learning Engineer to join their Transport Network and Planning team. This role is crucial in developing and managing the next generation of engineering infrastructure for their logistics operations. The position involves working on complex transport network challenges, focusing on optimizing network design, dynamic slot management, and disruption management simulation.

The role sits at the intersection of machine learning and logistics, working on systems that handle hundreds of millions of customer orders annually. You'll be responsible for building and deploying ML models that optimize both middle-mile and last-mile delivery operations, directly impacting service levels and transportation costs. The team uses cutting-edge technology including SageMaker, Databricks, and AirFlow in their cloud-based infrastructure.

As a Senior ML Engineer, you'll collaborate with software and data engineers, implement best practices in software engineering, and ensure system stability. The position requires 6 years of experience in data-intensive ML systems, strong Python skills, and expertise with deep learning frameworks. The company offers a hybrid working model, comprehensive benefits including equity, and a strong focus on work-life balance.

This is an opportunity to work on high-impact projects at scale, optimizing logistics operations that affect millions of customers across 25 markets. The role combines technical expertise with business impact, making it ideal for someone who wants to apply ML to solve real-world logistics challenges while working in an inclusive, diverse environment.