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?
INCLUSIVE BY DESIGN
At Zalando, our vision is to be the starting point for fashion - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well.
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/diversity-inclusion
Our employee resource groups: https://corporate.zalando.com/en/diversity-inclusion/our-employee-resource-groups
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
WE’D LOVE TO MEET YOU IF…
You have extensive industry experience in designing, developing and operating data-intensive ML systems.
Experience working together with applied scientists, and familiar with traditional applied science processes from ideation to productionisation. Basic knowledge of ML concepts such as training vs inference, backtesting, model monitoring, etc.
You are proficient in Python and with data processing and analysis tools like PySpark, Pandas and Numpy and you have experience using deep learning frameworks such as PyTorch.
You are familiar with CI/CD tools, container/orchestration tools such as AWS (EKS, ECS), Kubernetes, Docker and other data processing and analysis tools like SageMaker, Databricks and Airflow.
You are eager to collaborate with applied scientists to test and productionize new ML approaches.
Team player and highly self-motivated, with a strong sense of ownership and accountability
You’re fluent in English and have excellent technical communication skills and can present complex technical information in a clear and concise manner.
OUR OFFER
Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
27 days of vacation a year to start
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review
Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us
