Research Engineer - Profiles & Personalization
Dublin Ireland
1d ago

Zalando’s is the starting point for fashion . We are achieving this by becoming the world’s leading platform for connecting fashion with people.

Our Express team plays into our joint Zalando by enabling our customers to express their unique style so that they can find the fashion that they love on Zalando.

We are unobtrusive; we only ask questions we don’t know the answer to in order to build up a picture of what you love about the clothes you want and wear.

Ultimately, we empower you to translate your fashion needs and desires in a way that makes Zalando your personal starting point for fashion .

We enable the Express mission by creating intelligent systems that power innovative user experiences. We interact directly with our 29 million customers with how they navigate Europe's largest assortment of fashion products, enabling them to individually discover and shape their personal shop.

We own and develop a cloud-based microservices architecture that combines large scale machine learning with live services - we work with a leading edge technology stack comprised of Scala, Python, Tensorflow, Kubernetes, RESTful APIs, Apache Spark, Apache Flink, Apache Kafka, BigQuery, AWS and Docker amongst others - check our Tech Blog for more information on the technologies we use.

We are a growing cross functional team of 20 talented and passionate people, made up skills in Data Science, Software Engineering, User Experience, Design, and Product.

Where do you fit in? You are a passionate innovative Machine Learning practitioner with a principle driven growth mindset.

Where others see walls you see doors. You are obsessed with making a customer impact. Our values resonate strongly with you and you want to help us all grow stronger together.


  • You work as a research contributor in our team creating a state-of-the art production machine learning applications, systems and architecture.
  • You apply best of breed methods from research and industry to develop state of the art customer orientated streaming machine learning solutions.
  • You share your experience and knowledge so that others benefit and actively learn from the experience of all.
  • You help our teams to develop, implement and maintain sustainable, high-performance, growth-ready data-processing and data integration systems.
  • You actively communicate and demonstrate machine learning concepts to a wide spectrum of practitioners such as design, product management and software engineering

  • You actively communicate and demonstrate machine learning concepts to a wide spectrum of practitioners such as design, product management and software engineering
  • Proven experience, good knowledge and keen passion for developing and operating real time machine learning applications at-scale in a microservices environment.
  • Some experience with machine learning related libraries and frameworks such as Spark, Flink, Tensorflow, Numpy, Scikit-Learn and Pytorch.
  • Record of innovation in the field of Machine Learning via publications, patents and / or innovative technical solutions is a plus
  • Team player, motivated in making a positive impact on our engineering culture and encouraging knowledge sharing.
  • Ambitious in further optimizing and researching how ML and engineering work seamlessly together at scale.
  • Knowledgeable and passionate for developing and operating real time streaming applications at-scale.
  • Passionate about perfecting the craft of software development through machine learning solutions.
  • You care about customer impact.

  • 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 and blogs, 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
  • 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 28 million active customers through diverse skill-sets, interests and languages our teams choose to use.

    Please note that all applications must be completed using the online form - we do not accept applications via e-mail.

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