Senior Applied Scientist (Deep Learning Experimentation) | Senior Applied Scientist (Scaling Deep Learning Experimentation) - Size & Fit (All Genders)
Zalando SE
Job Summary
As a Senior Applied Scientist in Zalando's Size and Fit organization, you will leverage extensive research experience to develop, evaluate, and deploy cutting-edge deep learning solutions that provide game-changing size and fit advice to over 50 million customers. This role involves designing, building, and optimizing end-to-end deep learning pipelines, from data preprocessing to model deployment, with a focus on real-time predictions and scalability. You will take ownership of bold initiatives, collaborate closely with multidisciplinary teams including product managers and applied science leaders, and contribute to scientific endeavors through publications. The ideal candidate will have a strong background in deep learning, extensive experience with large-scale transformers, and proficiency in Python and PyTorch, aiming to shape an exceptional online shopping experience.
Required Skills
Education
Ph.D or M.Sc. in Computer Science, Machine Learning, Computer Vision, Artificial Intelligence, or a related field
Experience
- Extensive research experience in developing, evaluating, and deploying efficient Deep Learning solutions
- Extensive track record of addressing real-world problems using deep learning throughout the entire product cycle
- In-depth experience in deep learning, with hands-on experience with large scale transformers
- Experience implementing scalable deep learning pipelines and executing complex experiments involving datasets
- Experience in deploying production-ready solutions
Languages
Additional
- Not specified
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