Applied Scientist (NLP - Full Text Search) (w/m/d)

15 Sep 2020
15 Oct 2020
As an applied scientist in Zalando's search team you will work in a cross-functional team applying the latest developments in machine learning / artificial intelligence to deliver relevant search results to our 34 million monthly active users.

Your main challenges will include working with large amounts of data, delivering high-quality search results using a combination of IR and AI methods. This could involve working on neural models to retrieve the most relevant search results to our customers, or creating user behavioural models to better understand the intent of a customers search query.

  • Keep up to date with the state of the art in information retrieval, natural language processing and deep learning.
  • Build our query understanding and retrieval machine learning models and pipelines to create fantastic customer experiences.
  • Solve fashion industry search challenges where personal taste, a trendy vocabulary or challenges such as fit do matter.
  • Make a positive impact on our scientific culture, encouraging knowledge sharing, and driving technical discussions within the team.
  • Dig your nose deep into the latest search developments. Challenge the status quo by being eager to discuss your thoughts with the professional community.

You will be part of an autonomous and highly ambitious team consisting of experienced developers, data scientists, and language specialists pushing fashion search to its limits.

  • Ph.D or MSc and previous working experience in a hands on role where you applied machine learning techniques to solve customer problems.
  • Experience or an interest in working in information retrieval, natural language processing
  • Experience programming in python and / or scala and an interest or experience working with tools such as tensorflow.
  • Understanding of the theory behind machine learning models.


Our recipe to success: Think big and act fast. Your contribution today will influence millions of customers tomorrow. At Zalando, you have the opportunity to work for a fast_ growing international company that wants to offer the world's best fashion experience. Obviously, we offer you much more:
  • An exceptional opportunity to build a next generation Fashion Search Engine
  • Use of cutting-edge open source technologies and cloud services
  • Learning and growth opportunities: weekly tech talks, team internal book clubs, a machine learning program, company-hosted tech meetups, possibility of visiting conferences and the chance of digging your nose deep into the latest search advancements
  • Lots of data and traffic as well as powerful hardware to operate your cluster and learning algorithms
  • Employee discount for all Zalando shop products

  • 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, 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.

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

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