Principal Applied Scientist - Agentic Systems (all genders)
THE ROLE & THE TEAM
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Agentic Systems is building Zalando Assistant, our own agentic fashion assistant, with the goal of making it the starting point for fashion. We combine state-of-the-art machine learning (including GenAI/LLMs, agentic systems, personalization, and neural search) with Zalando’s catalog, data, and fashion expertise to deliver an experience that inspires customers in a new way.
The team has grown, and we’re looking for a Principal Applied Scientist to lead research-related projects and raise our best practices. You will take on the hardest scientific problems in the product, set technical direction across teams, and work with a group of exceptional scientists and engineers to build machine learning products that improve the experience of millions of customers.
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
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- Lead research projects end to end, from problem framing and approach to experimentation, production deployment, and monitoring. Shape the science stack for Zalando Assistant so that it aligns with product strategy, and drive architectural and design principles across teams.
- Define and drive the scientific roadmap for complex fashion and agentic-assistant challenges, ensuring we apply state-of-the-art solutions where they create customer value. Contribute to our scientific standing through internal peer reviews and, where appropriate, external publications at top-tier conferences and journals.
- Raise the bar for how the team works: set ...
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