Research Engineering Lead - 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 leader 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 will lead and grow a team of talented research and software engineers to build state of the art data engineering and machine learning solutions.

You will challenge our status quo, drive innovation and apply agile best practices to maximise our customers delight.


  • Extensive experience in building customer impacting real time machine learning products.
  • Drive team mastery in world-class research and development techniques to deliver a stable, scalable production system.
  • A solid understanding and proven record of applying agile methodologies to research roadmaps.
  • Develop and execute mid and long-term research vision, technical vision and architecture with your team, while closely collaborating with other engineering managers to be in line with our overall tech strategy.
  • Facilitate communication and decision-making between different engineering teams and stakeholders and act as a sparring partner to product owners.
  • Grow your team members in all aspects related to research and software development to help them solve technical challenges that trigger their full potential.

  • Extensive experience, deep knowledge and keen passion for developing and operating real time machine learning applications at-scale in a microservices environment.
  • Significant experience with machine learning related libraries and frameworks such as Spark, Flink, Tensorflow, Numpy, Scikit-Learn and Pytorch.
  • Proven innovation in the field of Machine Learning in at least one of the following : publications, patents and / or innovative technical solutions.
  • An experienced, empathic self-driven leader who leads with a growth mindset, identifying the levels your team can get to and helping them get there.
  • Excellent communication skills with experience working in diverse internal customer environment and in building customer facing applications.
  • Ability and interest in translating business requirements into technological visions, and reimagining data-processing technologies.
  • Passionate about perfecting the craft of software development through machine learning solutions.
  • Obsessed 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, 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
  • 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.

    Work happens in international dynamic teams. Openness and idea exchange are not only encouraged, they’re lived. Collaboration extends beyond your immediate team, as we pull together across functions, locations and management levels to achieve shared goals in a cohesive way.

    Please note that all applications must be completed using the online form - we do not accept applications via e-mail nor are we accepting applications through recruitment agencies.

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