Machine Learning Working Student
vor 2 Wochen
**Your mission**:
**The Role**:
At Sizekick, we are an international team creating the best-in-class size recommendation experience for e-commerce in order to reduce returns. We are seeking a talented and motivated Machine Learning student to work on an exciting project in conjunction with our strategic partner Hohenstein, which means that you get the unique opportunity to gain experience working in a lean startup environment and with an international research and testing company at the same time. You will be responsible for all phases of this data-driven project with support from both companies.
**Responsibilities**:
- Collaborate with and learn from experienced Machine Learning engineers
- Clean, process, and analyze a robust dataset from an industry leader
- Design an appropriate machine/deep learning model that solves the problem
- Train and evaluate your model using our AI infrastructure
- Communicate with multiple stakeholders in order to deliver a usable product
**Your profile**:
**Qualifications**:
- Bachelor's degree in Computer Science, Software Engineering, Mathematics, or related field (or equivalent experience)
- Currently in a Machine Learning-focused masters program with multiple Machine Learning courses and/or projects completed
- Strong knowledge of Python, Numpy, and Pandas
- Proficiency in machine learning frameworks such as PyTorch, SKLearn, etc.
- Strong problem-solving skills and the ability to troubleshoot issues
- Excellent collaboration and communication skills
**Why us?**:
**Our offer**:
- Competitive salary
- 20h working hours/week contract
- Team events
- Top-notch equipment and modern office in Munich
- Coffee, drinks, snack in the office
**The location of the role will be in Munich** with a hybrid working model: You can work with our great team in our nice
**office in Munich or from home**. You need to be located and studying in Munich, Germany.
**About us**:
**Why did we start Sizekick?**
At Sizekick, we are putting an end to unnecessary size-related returns in online fashion retail. We use artificial intelligence and computer vision technology to recommend the right clothing size, and with the help of Sizekick’s integrated software, everyone can find their correct size on our partner shops in just a few seconds with a smartphone. The environment will thank us too, because for each saved return approx. 500 g of CO2 emissions are saved.
**Our vision**
To provide the world's most-loved, sustainable, and accurate size recommendation experience.
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