Student Representation Learning Internship/master
vor 3 Wochen
We're looking for enthusiastic students for internship / master thesis. Students who are looking for internship leading to a master thesis are preferred.
**Your role**:
- Study and investigate the problem of finding approximate matches for new articles
Implement the state-of-the-art approaches on our dataset. Some examples are:
- Work towards improving the state-of-the-art approaches
**Your qualifications**:
- You are an enrolled Masters student in an informatics, electrical engineering or related program
- You work in a team-oriented and reliable manner and are conscientious and independent
- You have strong knowledge of Machine Learning, Deep Learning, Optimization algorithms
- You are familiar with PyTorch / TensorFlow
**What you can expect from us**:
- An exciting, fast-paced opportunity at Europe’s trusted B2B platform, where we connect the economy for sustainable business
- Possibility to work Remotely
- Individual academic mentoring of students
- Competitive stipend
**We are Unite.**: At Unite we connect the economy for sustainable business. Our pioneering B2B platform brings buyers and sellers together for mutual benefit. We offer digital solutions that enable effortless sourcing, buying and selling, transacting, and collaborating. We transform B2B commerce and strengthen local economies - by adding and sharing value. Built on Mercateo’s prominent spot-buying expertise and history, which began in 2000, we’ve got strong foundations: fair competition, trusted partnerships and European data sovereignty. “For better business and a better world.”**Would you like to become a part of Unite?**
Our headquarters are located in Leipzig, Germany. We are active in 15 European countries. More than 700 people work for Unite - both at its physical Unite offices and remotely. In 2021, Unite achieved a turnover of €406m. For more information, explore our Newsroom.**Contact us**:
**Amruta Pallewar**
Senior Tech Recruiter | Human Resources
Fürstenfelder Straße 5
80331 München
T +49 341 355 866 28
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