Head/Manager Applied Science - Computer Vision, Deep Learning (all genders)

Recruiter
Zalando
Location
Berlin
Posted
22 Aug 2022
Closes
03 Nov 2022
Ref
2944942
Function
Operations
Level
Manager
THE ROLE & THE TEAM
As a Head/Manager of Applied Science in the Size and Fit organization, you will lead a team of exceptional scientists to create bold research experiments with today's most exciting approaches in Deep Learning and Computer Vision, tackling impactful size & fit customer problems for 50+ million of Zalando customers.

We are looking for a leader with strong research and technical experience and demonstrated passion for people leadership in a fast-paced research and production environment. In addition to science depth, you must possess exceptional research management and communication skills, and above all, be a strong people leader who understands how to effectively coach an applied science team.
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
WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)
  • You will be a leader in Applied Science: Raise the scientific bar across your team and Zalando through publications in prestigious international conferences, and engaging in rigorous peer reviews. Actively collaborate with other teams and share knowledge and expertise within our talented applied science community
  • You will empower the team to stay up-to-date with the latest research in computer vision and deep learning. Provide egoless and constructive scientific feedback to peers. Coach junior colleagues to become great researchers
  • You will scale up, manage and mentor other junior and senior scientists, reviewing and guiding their work. Work closely with other senior leaders and engineering & product team members to bring our state of the art solutions to customers
WE'D LOVE TO MEET YOU IF
  • Ph.D in Computer Vision, Deep Learning, Machine Learning.
  • Solid understanding of best practices in advancing research and computer vision heavy products with customer/business impact for real world problems.
  • Proficient in one or multiple branches of AI and deep learning with high focus on leveraging images including Generative Adversarial Models, Diffusion Models, etc.
  • 3+ years of experience leading applied science and research teams in industry or academia.
  • Solid publication track record in top-tier top tier conferences and journals such as CVPR, NeurIPS, ECCV, ICCV, ICML, etc.
  • Expert in Python, TensorFlow, Pytorch. Hands-on experience with Docker, Git, AWS EC2, S3, DataBricks, Postgresql, or other RDBMS
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 flexible hours and up to 60% remote
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year to start
  • 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
  • Drive your development through our training platform and biannual peer-to-peer review
ABOUT ZALANDO
It's the perfect time to join Zalando's journey, from being a pioneer in the world of e-commerce, to becoming the Starting Point for Fashion in Europe. We connect customers, brands, and partners across 25 markets.

Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 49 million active customers.

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

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

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.
ABOUT SIZE & FIT
At Zalando we deeply understand that Size and Fit Matters, and are excited to use our unique and huge article and customer datasets to tackle this challenge using novel ML 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 multi-disciplinary Berlin based Size and Fit Org., composed of Machine Learning / Deep Learning researchers, 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.

Working side by side with other Product Specialists and Fitting Experts you will take on this complex and important topic. Your mission is to assist customers as they navigate the vast Zalando fashion catalog using fit characteristics that make sense to them.

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.

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