Senior Applied Scientist (Scaling Deep Learning Experimentation) - Size & Fit (All Genders)
Senior Applied Scientist (Scaling Deep Learning Experimentation) - Size & Fit (All Genders)
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Job Description
At Zalando we believe that an article that doesnt 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 Zalandos unique datasets through advanced deep learning techniques is the key to helping our customers express their unique size and fit preferences. You will play a crucial role in driving and scaling our deep learning experimentation and apply your expertise in collaboration with an exceptional multidisciplinary team to develop cutting-edge AI products. Would you like to bring in your skills to shape a great experience to millions of customers when buying clothes online
This involves designing building and optimizing end-to-end deep learning pipelines which include data preprocessing model training evaluation and deployment.
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 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 youre 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.
- our diversity & inclusion strategy: WED LOVE YOU TO DO (AND LOVE DOING) Bring in your extensive research experience in developing evaluating and deploying efficient Deep Learning solutions to help our customers make better sense out of confusing sizing systems. Design scale and deploy Deep Learning models capable of delivering accurate real-time predictions. Take ownership of the models post-deployment. Propose lead and build bold initiatives with the ownership from development to deployment. 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. 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 Zalandos science community. You have a Ph.D the field of Computer Science Machine Learning Computer Vision Artificial Intelligence or a related field. Extensive track record of addressing real-world problems using deep learning throughout the entire product cycle. In-depth experiences in deep learning hands-on experience with large scale transformers. Strong coding skills with proficiency in Python and PyTorch. Experience implementing scalable deep learning pipelines and executing complex experiments involving datasets. Experience in deploying production-ready solutions. A strong motivation to collaborate with cross-functional product science and engineering teams to solve business problems through scientific solutions. If you think you have what it takes we encourage you to apply even if you dont meet every single requirement. You may just be the right candidate for this or other roles! Zalando provides a range of benefits heres 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 Learn all about Zalando and our values here: note that all applications must be completed using the online form - we do not accept applications via email. We celebrate diversity and are committed to building teams that represent a variety of backgrounds perspectives and skills. All employment is decided on the basis of qualifications merit and business need. ABOUT SIZE & FIT 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. 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.WED LOVE TO MEET YOU IF
OUR OFFER
Required Experience:
Senior IC
Employment Type
Full-Time
