Job Description

Location
Zurich
Contract
Full time
Job Category
Applied Science & Research

THE ROLE AND THE TEAM

The DAGT team builds state-of-the-art machine learning systems (including recommendation systems, GenAI/LLMs, and neural search) to solve high-impact problems across the customer journey. Our goal: to create experiences that are not only exciting and engaging, but deeply relevant.



As a Principal Applied Scientist, you will play a key role in addressing challenging fashion problems using cutting-edge approaches that shape how over 53 million customers discover, choose, and purchase fashion. You will help drive our scientific roadmap, applying your scientific capabilities to deliver department-wide and cross-department projects in collaboration with multiple teams. Working closely with Zalando science leaders, you will guide a team of exceptional scientists and engineers to develop models and cutting-edge machine learning products that enhance the experience of over 53 million customers.

WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)

Utilize your extensive scientific experience in researching, deploying, and architecting machine learning and deep learning solutions to enhance the customer journey of millions of our users. Collaborate with multiple teams to create a cutting-edge science stack that aligns with the product strategy and drive architectural and design principles. Develop long-term scientific roadmaps to address complex fashion challenges using state-of-the-art solutions, ensuring we stay at the forefront of innovation. Contribute to our scientific endeavors through internal peer reviews and external publications in top-tier journals and conferences. Act as a mentor to junior and senior scientists, foster collaboration with other teams, and actively share knowledge and expertise within Zalando's science community. Forge close partnerships with applied science leaders, product managers, and other business stakeholders to deliver state-of-the-art machine learning solutions to our customers and uncover new opportunities for growth.

WE'D LOVE TO MEET YOU IF:

PhD in computer vision, deep learning, search & recommendation, or related fields (or equivalent experience), accompanied by 6+ years of industry experience. * Experience in developing long-term research roadmaps and