Zalando Research Fellowship Program - Applied Scientist Outfit Inspiration

The Zalando Fellowship Program is designed to encourage and support promising MSc and PhD students who are engaged in innovative and relevant research in areas related to computer science and machine learning and in general artificial intelligence (AI) at an accredited university. The program is open to students in any year of their PhD study or MSc and is flexible with respect to start and end dates of the internship as long as you can commit to 6 months.
At Zalando, we strive to become the thought leaders in Fashion AI. That's what drives our scientific research. It is not just part of our job profile. It is our mission. Our pursuit. Our endeavor.

Scientific research at Zalando is the act of applying the Scientific Method using quantitative tools in order to find the best approach for solving customer problems. This covers areas such as Machine Learning, Data Science, Economics, Causal Inference, and Operations Research. What unites us is the energy and enthusiasm we share in tackling our common purpose: to deliver award-winning, best-in-class shopping experiences to our 46 million active customers. Above all, it requires passion: to experiment, learn, fail, and repeat the process, so that we get stronger and better every day.

Are you ready to become part of Europe's leading Fashion AI community?
THE ROLE & THE TEAM

• We are working on impactful products that will be used by millions of customers while at the same time tackling challenging and fun research problems with state-of-the-art algorithms such as Transformers and state-of-the-art technologies such as AWS SageMaker and Tensorflow for real-time inference.
• The person who joins the team will have first-hand experience with scalable deep learning, learn about ML best practices, interact with many product managers and learn more about how machine learning can have an impact on the business.
• You will get to work with experienced, talented and international colleagues, with opportunities to interact with other teams outside of the Outfits department (such as the style advice and the fashion recommendation teams).

INCLUSIVE BY DESIGN
At Zalando, our vision is to be the starting point for fashion - 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: https://corporate.zalando.com/en/diversity-inclusion
Our employee resource groups: https://corporate.zalando.com/en/diversity-inclusion/our-employee-resource-groups
WHY YOU SHOULD BE INTERESTED

• Help to improve the quality of our outfit generation algorithms to generate more relevant and persononalized outfit content for our customers
• Implementing ML prototypes and conducting experiments according to well defined and documented methodologies
• Reading research papers, discussing and mentoring with senior applied scientists about existing algorithms, technologies and infrastructures.
• Documenting findings in the form of insightful documents and graphs, scoping and defining products together with experienced product managers.

WE'D LOVE TO MEET YOU IF

• You are a PhD candidate or have a MsC in a machine learning or recommender systems (preferably), computer science, physics or statistics
• You have good coding skills in Python and you have experience with machine learning and deep learning, as well as the frameworks (Pytorch, Tensorflow)
• You love to do scientific work and research, work on machine learning, and have an understanding of how to convert research into something that we can bring to the customers will thrive in this team.
• As well as scientific topics and research, you are also extremely passionate about the customer.

ZALANDO BENEFITS
Future Zalent

• Become part of the Future Zalent community and join others on similar journeys as you develop and thrive in and out of the workplace.
• Online support, networking, training and mentoring to help guide you to a successful career at Zalando.
• Invites to social events and meet-ups, bringing together our graduates, interns, apprentices and working students together in one place.

Career Development

• Learn and develop through our extensive Zalando training platform
• Join regular all-hands, team meetings, Q&A-sessions, and quarterly anonymous employee surveys to ask your questions and provide your feedback
• Support from an international team of experts; mentoring and professional development opportunities

Wellbeing

• Online sports courses, wellbeing, and nutrition advice offered by Humanoo personal wellbeing coach app
• Mental wellbeing support by our Employee Assistance Program and professional consultants to help you find health resources

Financial

• Discounts from a wide range of external partners

ABOUT ZALANDO
It's the perfect time to join Zalando on our journey, from being a pioneer in the world of e-commerce, to the starting point for fashion in Europe. We connect customers, brands, and partners across 23 markets.

Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 46 million active customers through a team of diverse skill-sets, cultural backgrounds, and interests.

Our values: https://jobs.zalando.com/en/our-founding-mindset

do.More - our sustainability strategy: https://corporate.zalando.com/en/sustainability

Follow us on Instagram: instagram.com/insidezalando

Please note that all applications must be completed using the online form - we do not accept applications via email.