THE ROLE AND THE TEAM
The DAGT team is at the forefront of developing state-of-the-art machine learning systems, including recommendation systems, Generative AI/LLMs, and neural search, to tackle high-impact challenges across the customer journey. Our mission is to craft experiences that are not only thrilling and engaging but also profoundly relevant.
As a Principal Applied Scientist, you will be instrumental in addressing complex fashion-related challenges with innovative solutions that shape how over 53 million customers discover, choose, and purchase fashion. You will contribute to our scientific roadmap and work collaboratively on department-wide and cross-department projects with various teams. By closely collaborating with Zalando's science leaders, you will guide a team of exceptional scientists and engineers in developing models and advanced machine learning products that enhance our customers' experience.
WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)
- Leverage your extensive scientific background in researching, deploying, and architecting machine learning and deep learning solutions to improve the customer journey for millions of users.
- Collaborate across multiple teams to forge a cutting-edge science stack that aligns with our product strategy while driving architectural and design principles.
- Develop long-term scientific roadmaps that address complex fashion challenges using state-of-the-art solutions, ensuring we remain at the forefront of innovation.
- Contribute to our scientific initiatives through internal peer reviews and by publishing research in top-tier journals and conferences.
- Act as a mentor for junior and senior scientists, promoting collaboration with other teams, and sharing your expertise within Zalando’s science community.
- Establish strong partnerships with applied science leaders, product managers, and other business stakeholders to deliver advanced machine learning solutions and identify new growth opportunities.
WE'D LOVE TO MEET YOU IF:
- You hold a PhD in computer vision, deep learning, search & recommendation, or related fields (or possess equivalent experience) combined with 6+ years of industry experience.
- You have experience developing long-term research roadmaps and applying scientific methods to tackle various research problems, showing a strong inclination to collaborate with product, science, and engineering managers.
- You have a proven track record of addressing large-scale real-world problems through the entire product lifecycle, including problem analysis, data processing, literature review, production deployment, monitoring, and maintenance.
- Your publication record includes contributions to prestigious venues such as SIGIR, KDD, WWW, ICLR, NeurIPS, ICML, JMLR, etc.
- You possess extensive hands-on experience in deep learning with proficiency in Python and frameworks such as PyTorch or TensorFlow.
PERKS AT WORK
We foster a culture of trust, empowerment, and constructive feedback, with commitments to open source, meetups, game nights, and over 70 internal technical and fun guilds. Knowledge sharing occurs through tech talks, an internal tech academy, blogs, product demos, and various events.
- Competitive salary and employee share program.
- 40% Zalando shopping discount and discounts from external partners.
- Centrally located offices with public transport discounts and additional municipality services.
- Flexible working hours and additional holiday and volunteering time off.
- Free beverages and fruits, along with diverse sports and health offerings.
- Extensive onboarding, mentoring, and personal development opportunities with an international team of experts.
- Relocation assistance for international applicants, along with PME family services and parent & child rooms available in selected locations.
INCLUSIVE BY DESIGN
At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce, one that is inclusive by design. We assess candidates based solely on qualifications, merit, and business needs. We welcome applications from individuals of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We want to understand why you are the ideal fit for this role, so please refrain from including your photo, age, or marital status in your CV.
We strive to provide an exceptional candidate experience. If you require any accommodations, please let us know so we can support and assist you throughout the hiring process.
HOW TO APPLY
Apply online using the form below. Only applications matching the job profile will be considered.