Applied Scientist
vor 2 Wochen
Zurich
Contract
Full time
Job Category
Applied Science & Research
As an Applied Scientist in the Zurich based Size & Fit Team, you will develop algorithms designed to help Zalando fashion customers make choices that reflect their unique size and fit preferences.
WHERE YOUR EXPERTISE IS NEEDED:
- Help estimate the body shape of our customers and visualize clothing fit
- Propose, build and lead impactdriven initiatives feature ownership from development to deployment
WHAT WE'RE LOOKING FOR:
- Ph.
- Expertise in 3D Deep Learning and Generative Models
- Programming languages: Python, and its libraries such as pandas, numpy, scipy
- Hands on experience with Docker, Git, AWS EC2, S3, ML/DL frameworks such as Tensorflow, Pytorch, detectron
- Attention to code quality by writing highperformance reusable code including unit tests
PERKS AT WORK:
- Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy and blogs, product demos, parties & events
- Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
- Extensive onboarding, mentoring and personal development opportunities and an international team of experts
- Relocation assistance for internationals, PME family service and parent & child rooms* (*available in select locations)
- 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 ZALANDO:
At Zalando we deeply understand that Size Matters, and are excited to use our unique and huge article and customer datasets to tackle this challenge using ML and Computer Vision techniques.
You will join our multidisciplinary Zurich & Berlin based Sizing Team, composed of Machine Learning / Computer Vision / 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.ABOUT SIZE & FIT
At Zalando, we deeply understand that Size Matters, and are excited to use our unique and huge article and customer datasets to tackle this challenge using ML and Computer Vision techniques.
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.Recruiter
Donatella Marcellino
Bitte beachte, dass alle Bewerbungen mit dem Online-Formular ausgefüllt werden müssen - wir akzeptieren keine Bewerbungen per E-Mail.
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