Senior Principal Applied Scientist
Zalando
Stellenbeschreibung
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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