Senior Machine Learning Engineer – Demand Forecasting (all genders)

at  Zalando

THE ROLE & THE TEAM

Zalando fulfills more than a hundred million customer orders every year and volumes are increasing. Fulfillment Core within Zalando builds and operates systems that are at the core of Zalando’s platform strategy and ensure timely, efficient, and correct delivery of every one of our customers’ 185+ million orders every year.
Enabling the fulfillment of orders is a complex process, involving the choice of physical locations of our warehouses and the placement of stock, the planning of inner warehouse processes and capacity management, the management of a diverse range of fulfillment and delivery configurations, all while optimizing towards various competing targets.
Demand forecast is at the heart of these processes, where the forecasted demand of a given article would play an essential role to determine, for example, in which warehouse and where inside that warehouse the article should stay.
As a Senior Machine Learning Engineer, you will play an essential role in defining and managing the next generation of our engineering infrastructure (e.g. data ETL pipelines, train/inference deep learning model pipelines, and many more). You will be part of a skilled team of ML engineers and applied scientists to address complex forecasting challenges, improve the precision of demand predictions, and support many highly-important strategic and data-driven use-cases, such as inventory optimization inside warehouses and across a network of warehouses. This role offers a unique chance to be at the forefront of Zalando’s technological advancement, enhancing your engineering expertise in a high-impact and dynamic environment.
You’ll find our Berlin campus and HQ in the vibrant area of Friedrichshain. With amazing views of the Spree river and East Side Gallery, it’s a campus designed to inspire. Berlin is the city that has shaped our business. Are you up for a new experience in one of the most vibrant, diverse, and green cities in Europe?

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• Work closely with applied scientists to deploy ML models to a production environment
• Design, build, and maintain ML models and its data pipelines
• Utilize a cloud-based tech stack including SageMaker, Databricks, and AirFlow
• Implement best practices in software engineering, including code quality and testing for the Python codebases
• Ensure system stability and improve monitoring and resilience
• Mentor others, drive innovation, and foster a positive and inclusive work environment
• Be part of Zalando’s engineering community and advocate team’s processes