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(Mid or Senior) Machine Learning & Analytics Engineer - Search And Browse


The ranking team is responsible for ranking of products while customers browse or search the Zalando site, or app. We use a variety of recommendation and search algorithms which perform inference either at real-time or in batch to help satisfy the customers information needs. We do this at scale, serving tens-of-thousands requests per second, meaning we not only have a large customer mission, but also a large operational mission.

Due to strong growth in 2020, we are embarking on an ambitious mission to build out new personalisation, productivity and optimization capabilities in our ranking stack to enhance the Zalando customer experience. We need you to be our machine learning & analytics engineering expert in a team of applied scientists and software engineers. Your mission will be to help level up our machine learning pipelines, tooling and serving and raise our general software engineering practices with regards to machine learning in the team.


  • Collaborate with our applied scientists and software engineers to build rock solid machine learning and data pipelines which power our product ranking experience for millions of customers every day.
  • Support the team by defining best practices around topics related to ETLs, data engineering, data governance and GDPR.
  • Working with team members to increase the velocity of the team by creating productivity tools related to our DataOps, DevOps or ML-Ops workflows.
  • Lead the development of automated analysis and auto-machine learning pipelines to help the team scale up their machine learning operations, reporting operations and data quality checks.
  • With the team, breaking down technical requirements and coming up with a project plan and system design to achieve our recommendation, search or optimization goals.
  • Work with both batch and streaming based data pipelines to move hundreds of gigabytes of data to our different storage systems used for algorithm and product reporting as well as model building.
  • Get involved in the operational planning of huge sales events such as cyber-week where overnight our systems must scale exponentially to serve the strong customer demand.
  • Collaborating with other teams in the search and browse department, or advertising systems on cross department projects, where you represent the team.
  • Attending conferences and sharing best practices or game changing ideas, or engaging with the internal or external technical community to share some best practices.


  • A degree in Computer Science, or related field of study, or equivalent practical experience.
  • Experience with python and / or scala. We use both.
  • Experience with data processing, orchestration and storage technologies. We use Spark, Databricks for building pipelines, sagemaker for serving.
  • An interest in learning or experience in helping to bring machine learning to production.

Preferred Qualifications

  • Experience with data modelling concepts.
  • An interest or experience in any of the following: advertising systems, machine learning, recommender systems, search systems.
  • An interest or experience working with products that are used directly by tens of millions of customers every month.
  • Culture of trust, empowerment and constructive feedback,open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy andblogs, product demos, parties & events
  • Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
  • Extensive onboarding, mentoring and personal development opportunities and an international team of experts
  • Relocation assistance for internationals, PME family service and parent & child rooms* (*available in select locations)

We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.


Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.

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