Senior Applied Scientist

At Zalando we believe that an article that doesn't fit well is the wrong article for our customers. As an 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 using state-of-the-art GenAI and Computer Vision models is the key to help 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 GenAI products. Would you like to bring in your skills to shape a great experience to millions of customers when buying clothes online?

In the Size & Fit team, we use methodologies and solutions that have the potential to impact millions of Zalando customers with scientific challenges: providing size advice with machine learning is definitely an unsolved problem and there are always new challenges to that allows customers to find their ideal size and fit. 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.

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.

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 only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you're great for this role, so please avoid including your picture, age, and marital status in your CV as well.

We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.

do.BETTER - our diversity & inclusion strategy:

• Bring in your extensive research experience in developing, evaluating,  and deploying GenAI and Computer Vision 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 GenAI solutions to our customers and uncover new opportunities for growth.

• You have a Ph.D or M.Sc. in the field of Computer Science, 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 generative models and transformers.

• 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.

• Employee shares program

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

• 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

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

• 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.