Role overview
We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are. We believe that a diverse workforce essentially contributes to the ABOUT YOU culture. In order to maintain talent and diversity, we emphasize the care for physical health, mental health and overall well-being. Our values and work ethics essentially contribute to our brand mission: empower acceptance and shape an inclusive, fair and circular fashion culture.
We are looking forward to receiving your application – preferably via our online application portal! This way, we can ensure a faster process and for you it is very easy to upload your application documents. :-)
What you'll work on
- Grow together with one of the fastest growing eCommerce companies in Europe
- Flexible working times
- 40% discount on our online shop
- Fresh fruits + drinks everywhere
- Language courses (German & English)
- Free sports courses & reduced price for gym membership
- Subsidized public transportation ticket
- Free choice of hardware and operating system (Mac, Windows, Linux) also for private usage
- State-of-the-art tech stack running on AWS
- Modern office in the city center of Hamburg
- International working environment and English as company language
- Company flats (subject to availability)
- Agile work environment (MOVE) and cross-functional teams
- Free access to Germany’s greatest developer conference code.talks
- German health insurance included
- Help in relocation and VISA process
What we're looking for
- Experience with BigQuery Knowledge of time series and (graph) neural network models
- Familiarity with statistical testing and Gaussian Processes
- Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch)
- Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g. MLFlow, Kubeflow, …)
- Experience with deep learning libraries (e.g., TensorFlow, PyTorch)
- Experience building interactive dashboards (e.g. using Streamlit, Voila, Gradio)
- Experience with GCP or AWS, including infrastructure-as-code and CI/CD pipelines
- Practical knowledge of Docker