Machine Learning Engineer

at  Zalando

THE ROLE & THE TEAM

Zalando Marketing Service (ZMS) stands for a new era of marketing in e-commerce. The company helps partners to shape love brands, create strong customer relationships, and accelerate their business, by integrating data-infused and inspirational marketing. ZMS enables fashion, beauty and lifestyle partners to engage with ~50 million active customers across 25 European markets on Zalando and beyond, and provides access to exclusive fashion and lifestyle audiences. Based on deep customer insights, smart marketing tools, assortment and content creation expertise across >50K campaigns, ZMS drives the marketing and sales impact of its partners seamlessly along the path to purchase, from brand awareness, to consideration and conversion.
We are ambitious and committed to be the starting point of fashion for our customers and partners; therefore we are re-founding and scaling our Applied Science and Engineering backbone for Ads Personalization working backwards from user, content and context understanding.
As a Machine Learning Engineer in ZMS, you will work with talented scientists and engineers to build our real-time recommendation for our Ad Tech platform which includes Sponsored Product and Campaign advertisements. You will be responsible for building and scaling a new generation of machine learning products in the new and evolving field of Machine Learning Ops (ML Ops) in close collaboration with our Applied Scientists and Engineers.
This position is a unique opportunity to have visible impact, and connect with exceptional talents from many different backgrounds: you will be part of a talented cross-functional team made up of Applied Scientists, Data Engineers and Software Engineers. Together, and with the support of Product Managers and Designers, you create, design and deliver new features to serve our customers and partners needs.

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

• You play a key role in the design, architecture and development of end to end engineering solutions with full operational responsibilities on Cloud (AWS, Kubernetes) to allow our builders define, execute, and monitor Machine Learning Workflows
• Collaborate with the department’s Applied Scientists to optimise the training time and serving latencies of our ML recommendation models.
• Take ownership of the operational excellence of our AI systems design the architecture, looking for improvements in monitoring and scale ML algorithms
• You enjoy communicating and collaborating with customers, product managers and engineering peers.

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. Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us

• 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 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 availabl