Principal Applied Scientist - 3D-aware Generation Research

Posted 9 Days Ago
Be an Early Applicant
Berlin
1-3 Years Experience
eCommerce • Retail
The Role
Seeking a Principal Applied Scientist with expertise in image generation, computer vision, and 3D computer vision to tackle complex problems and develop innovative solutions. Collaborate with cross-functional teams, communicate research findings, and connect technology to real-world applications. PhD in Computer Science or related field and strong entrepreneurial skills are required.
Summary Generated by Built In

THE ROLE & THE TEAM

We are seeking a highly skilled and entrepreneurial Principal Applied Scientist with deep expertise in image generation and computer vision to join our research team. In this role, you will tackle complex, ambiguous problems and develop innovative solutions that directly impact our business and customers.

INCLUSIVE BY DESIGN

At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit. ​

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

do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups


 

WHY YOU SHOULD BE INTERESTED…

  • You will be conducting cutting-edge research in computer vision and related fields

  • You will collaborate with cross-functional teams, including product and management, to identify and solve critical customer challenges 

  • We offer the opportunity for you to communicate research findings, capabilities, and deliverables to diverse audiences

  • You’ll have the chance to demonstrate strong entrepreneurial skills in promoting and presenting research results convincingly

  • We offer you the opportunity to deeply understand our business and connecting state-of-the-art technology to real-world applications

WE’D LOVE TO MEET YOU IF…

  • You have a PhD in Computer Science, Engineering, or a related technical field

  • You bring extensive research experience and expertise in computer vision, deep learning, and related areas

  • You showcase a track record of translating research into practical applications with customer impact

  • You have excellent communication, presentation, and interpersonal skills 

  • You come with an entrepreneurial mindset with ability to innovate, influence, and drive results

  • A passion for understanding business needs and leveraging technology to solve customer problems is what drives you

GOOD TO HAVE

  • Deep Learning Expertise: Hands-on experience in deep learning, preferably with both generative and discriminative modelling. This experience should be predominantly focused on the field of 3D computer vision.

  • 3D Representation Knowledge: In-depth knowledge and understanding of various 3D representation methods, including implicit, explicit, and parametric approaches. The candidate should be able to apply these representations effectively in 3D computer vision tasks.

  • UV Parameterization and Texture Mapping: Demonstrated experience in working with UV parameterization and texture mapping techniques, particularly in the context of 3D computer vision projects. Proficiency in applying these techniques to enhance the quality of visual 3D data is essential.

  • Programming Skills: Excellent programming skills in Python, with a strong track record of using deep learning frameworks such as PyTorch, Keras, and TensorFlow to develop and implement cutting-edge solutions for 3D computer vision challenges.

  • Adaptability: Willingness and ability to stay current with the latest developments in deep learning, 3D computer vision, and related technologies, and to quickly adapt to new tools and methodologies.


 

OUR OFFER

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 Zalando Lounge, discounts from external partners

  • 2 paid volunteering days a year

  • Hybrid working model with 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 (for Zalando SE)

  • Relocation assistance available (subject to prior agreement)

  • Family services, including counseling and support

  • Health and wellbeing options (including Gympass)

  • Mental health support and coaching available

Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us

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

Top Skills

Keras
Python
PyTorch
TensorFlow
The Company
HQ: Berlin
10,000 Employees
On-site Workplace
Year Founded: 2008

What We Do

Welcome to Zalando. Here’s some key info about us:

Our position and vision:
- We’re Europe’s leading online platform for fashion and lifestyle
- Founded in Berlin in 2008, we bring head-to-toe fashion to more than 50 million active customers in 25 markets; offering clothes, footwear, accessories, and beauty
- Our vision is to become The Starting Point For Fashion.

Our offering:
- Our assortment of international brands ranges from world-famous names to local labels
- Our platform is a one-stop fashion destination for inspiration, innovation, and interaction
- As Europe’s most fashionable tech company, we work hard to find digital solutions for every aspect of the fashion journey: for our customers, partners, and friends of our brand.
- Our logistics network with 12 centrally located fulfillment centers allows us to efficiently serve our customers throughout Europe, supported by warehouses in Italy, France, Poland, and Sweden with a focus on local customer needs.

Our beliefs:
- Our ambition is to combine our passion for self-expression through fashion with our unwavering commitments to sustainability and D&I
- We believe that our integration of fashion, operations, and online technology gives us the capability to deliver a compelling value proposition to both our customers and fashion brand partners.

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