Senior Applied Scientist

At Zalando, we deeply understand that Size Matters. We are excited to use our unique and large article and customer datasets to tackle this challenge using ML and Computer Vision techniques. How about you; would you like to bring in your skills to shape a great experience for your family and friends when buying clothes and shoes online?

You will join our multidisciplinary Zurich & Berlin-based Size and Fit Team, composed of machine learning / computer vision / deep learning researchers, software engineers, and full stack developers from 20+ different nationalities. We provide recommendations and predictions on customer size and fit choices and conduct focused experiments using emerging technologies to solve the challenges.

We believe that an article that doesn't fit well is the wrong article for our customers. As a Senior Applied Scientist in the Size and Fit organisation, you will use our unique datasets to drive bold research experiments to provide 50+ million of Zalando customers with game-changing size and fit advice. We believe that leveraging Zalando's unique datasets through advanced deep learning techniques is the key to helping our customers express their unique size and fit preferences. You will contribute to drive our scientific roadmap and apply your expertise in collaboration with an exceptional multidisciplinary team to develop cutting-edge deep learning products. Would you like to bring in your skills to shape a great experience to millions of customers when buying clothes online?

You will take on this complex and important topic working side by side with our Product Specialists and Applied Scientists. We have great problems to solve, a huge customer base to impact and are a team that loves to have fun. Size and Fit is a human topic. We use machines to help solve our customers' challenges. But we never forget - size and fit success is defined by how customers feel when they wear fashion.
 

If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles

At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce – one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds.

We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.

We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you.

Discover more about our commitment to creating a diverse and inclusive workplace:

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

• Bring in your extensive research experience in developing, evaluating, and deploying deep learning models to help our customers make better sense out of confusing sizing systems.

• Propose, lead, and build bold initiatives with the ownership from development to deployment.

• Contribute to our scientific endeavours through external publications in top-tier journals and conferences.

• Act as a mentor to junior scientists, foster collaboration with other teams, and actively share knowledge and expertise within Zalando's science community.

• Forge close partnerships with applied science leaders and product managers, and other business stakeholders to deliver state-of-the-art deep learning solutions to our customers and uncover new opportunities for growth.

• You have a Ph.D or M.Sc. in the field of Computer Science, Machine Learning, Computer Vision, Artificial Intelligence, or a related field.

• 2+ years of research experience in a university or industry, in a role with primary emphasis on AI research.

• In-depth experiences in deep learning, in particular vision language transformer models.

• Proficiency in Python and PyTorch.

• Experience implementing software and executing complex experiments involving large AI models and datasets.

• Publication records at top conferences and journals such as CVPR, ICCV/ECCV, NeurIPS, ICLR, NeurIPS, ICML, PAMI, IJCV, etc.

Zalando provides a range of benefits, here's an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

• 27 days of holiday a year to start for full-time employees

• 2 paid volunteering days a year

• Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration

• Work from abroad for up to 30 working days a year

• Employee shares program

• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners

• Relocation assistance available (subject to prior agreement)

• Family services, including counseling and support

• Health and wellbeing options (including Wellhub, formerly Gympass)

• Mental health support and coaching available

• Drive your development through our training platform and biannual peer-to-peer review