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Senior Principal Applied Scientist

Zalando

New
Hybrid Senior 🇬🇧 English
Python PyTorch computer vision GAN diffusion models NeRF Gaussian splatting MLOps

Job description

About the role

The Size & Fit team at Zalando is building AI‑driven solutions that help millions of shoppers find the right size and fit online. As a Senior Principal Applied Scientist you will lead cutting‑edge research and production‑scale deployments that directly impact customer satisfaction and return rates.

Key responsibilities

  • Drive scientific excellence in computer vision and machine learning by fostering rigorous peer review and knowledge sharing.
  • Partner with product, design and engineering to translate ambiguous business goals into technical road‑maps, MVPs and scalable solutions.
  • Lead research on state‑of‑the‑art techniques such as GANs, diffusion models, NeRFs and 3D reconstruction, and encourage publication in top conferences.
  • Implement robust MLOps processes to ensure reliability, repeatability and agility of deployed models.
  • Mentor junior and senior scientists, provide performance feedback and support their professional growth.

Required profile

  • Ph.D. in Computer Science, Machine Learning, Computer Vision or a related field with 5+ years of post‑doctoral industry or academic experience.
  • Proven track record of taking large‑scale ML applications from research to production, including data processing, model deployment and monitoring.
  • Strong publication record in venues such as CVPR, ICCV, NeurIPS, ICLR or ICML.
  • Excellent English communication skills for both technical peers and senior leadership.

Required skills

  • Python programming
  • PyTorch and modern ML frameworks
  • Computer vision techniques (GANs, diffusion models, 3D vision, NeRF, Gaussian splatting)
  • Experience with MLOps and production deployment of AI models

What we offer

  • Employee shares program and up to 40% discount on fashion and beauty products
  • Hybrid working model with up to 60% remote flexibility
  • 25 days of vacation, health and wellbeing options, and mental health support
  • Opportunities for continuous learning through training platforms and peer‑to‑peer reviews

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Published 7 hours ago

Expires 1 month from now

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