Intern in Machine Learning

vor 2 Wochen

Hamburg, Deutschland U-Glow GmbH Vollzeit

**Intern in Machine Learning & Data Analytics (M/F/d) at U-Glow GmbH**

Want to work in a young startup and experience technology hands-on?
We inspire our customers with innovative services in the areas of innovation management, software development, wireless communication, and systems engineering.

**YOUR TASKS**
- You develop and optimize a toolchain.
- You support us in our ongoing projects.
- You develop and evaluate neural networks for object segmentation and classification.
- You conduct tests and documentation.

**YOUR PROFILE**
- You are studying computer science, data science, industrial engineering, electrical engineering, mechanical engineering, physics, or a related field.
- Basic knowledge of image processing or algorithms.
- Advanced programming skills in Python and C++.
- Initial experience with Tensorflow, GitHub, OpenCV and scikit-learn.
- You have a strong analytical understanding and work independently and goal-oriented.
- You demonstrate good time and self-management.
- You have excellent German and English language skills.

**YOUR ADVANTAGES**
- Diverse projects with high practical relevance.
- Learning by doing: the opportunity to test yourself autonomously in your work.
- Open culture of learning from mistakes: we provide you the space to test your own ideas and grow from them.
- Participation in a young, dedicated, and mutually supportive team.
- Flexibility in work hours, enabling a balanced combination of personal life, studies, and part-time/student jobs.
- 100% remote work.

Interested? We look forward to receiving your message, including cover letter, CV, current grades, and possibly other references/transcripts

Contact person: Prof. Dr.Ing. Kai Daniel

**Relevant: U-Glow GmbH is a young startup, therefore internships cannot be remunerated at the current time.**

Art der Stelle: Praktikum

Arbeitszeiten:

- 8-Stunden-Schicht
- Keine Wochenenden
- Montag bis Freitag

Leistungen:

- Flexible Arbeitszeiten
- Homeoffice

Arbeitsort: Vor Ort

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