Research Engineer - Helsinki

Job Category

  • Technology & UX/UI Design


  • Helsinki


  • Full-Time
  • Professional Level


  • Zalando SE



Zalando Technology is one of the most collaborative places you can imagine. Partnerships happen with all key engineering and product teams, the Zalando Research unit, and with the international tech community outside of Zalando. We are looking for research engineers to work on a broad set of real-world practical problems of massive scale that will have a direct and significant business impact.

As a Research Engineer, you will focus on developing Zalando’s in-house solutions to provide a personalized and relevant user experience, especially in search and recommendations. You will build microservices providing personalized search results and recommendations for the customer and work on aspects like collaborative filtering, query understanding, intent understanding, and personalized scoring.



The Helsinki Tech Hub is growing fast. We are based in Kamppi, right in the heart of Helsinki. The office offers a fantastic space to work where you can have a real impact on the world of e-commerce, working with a diverse bunch of talented individuals (if we do say so ourselves!) In Zalando we build small autonomous teams which design, develop and operate their solutions taking full ownership of the development lifecycle. We believe in trust, purpose, autonomy and mastery. And great coffee.

Zalando is transforming from an e-commerce company into a multi-service platform that provides fashion as a service for our 19+ million customers today. We make it our mission to imagine and predict the infinite points of interaction between fashion and people - and develop the technology to make them possible. The 80+ members of Zalando Technology Helsinki build our products in-house and open source - from our logistics software to our mobile applications. Teams have the autonomy to choose the technologies they work with using our Tech Radar for inspiration, currently that means we are building products using Scala, Java, Clojure, Spark, React, Swift, AWS and Docker - to name just a few. We are passionate about what we do and have fun while doing it. And we are willing to experiment and make mistakes: It’s how we grow.



  • A degree in computer science, mathematics, statistics or other similar quantitative field (PhD, M.Sc.)
  • A drive to get your models live
  • At least three years of professional / academic experience programming in Java or Scala, experience with Python a plus
  • You have worked with current big data technology (e.g. Hadoop, Spark) OR experience with information retrieval technology and search solutions like Solr, or Elasticsearch
  • Knowledge of current trends in software design, architecture and web services
  • Demonstrated expertise and desire to work hands-on in analyzing and modeling large data sets
  • Deep skepticism of, plus the ability to identify and debunk buzzword mumbo jumbo, false assumptions and analysis
  • English language fluency

Additional preferred skills

  • Experience with semantic web and ontologies
  • Knowledge of near-realtime stream processing and/or message-driven architectures (e.g. Spark Streaming, Storm, Kafka.)
  • Knowledge of applied machine learning / data mining techniques
  • Experience with building and / or running large-scale applications
  • Knowledge of Natural Language Processing (NLP), information retrieval (IR)



  • Research, design and implement algorithms for all aspects of personalization, recommendation, and search
  • Be accountable for all aspects of your work, from research and analysis to testing and deployment
  • Play a critical role in the team as a creative research engineer working at a project level
  • Understand and effectively communicate with internal business customers, partners, and stakeholders at each stage of a project
  • Think abstractly and discover correlations between problems, methodologies, and solutions
  • Implement possible solutions, evaluate outcomes, and update research direction according to business goals and constraints
  • Follow a project through its entire lifetime from problem formulation to solution delivery



Community. Tech culture of trust and empowerment, open source commitment, meetups, game nights, +100 internal technical and fun guilds, tech talks, product demos, Coderdojos, parties and events.

Perks. Competitive salary, 40% Zalando shopping discount, discounts from external partners, public transport discounts, relocation assistance for internationals, free drinks and fruits.

Development. Tour of Mastery, extensive onboarding, personal branding support, opportunity to attend and speak at data science conferences and Meetups, and encouragement to publish work.

Work Environment. Self-organized,  autonomous teams and flexible working hours.

Scale. Unparalleled levels of data and opportunities.



If you need guidance or have any questions about our recruiting and hiring processes, please contact William Scharf for more information.

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