Intern in Machine Learning - Mannheim, Deutschland - U-Glow GmbH

U-Glow GmbH
U-Glow GmbH
Geprüftes Unternehmen
Mannheim, Deutschland

vor 2 Wochen

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


Beschreibung

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 scikitlearn.
  • You have a strong analytical understanding and work independently and goaloriented.
  • You demonstrate good time and selfmanagement.
  • 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 parttime/student jobs.
  • 100% remote work.
Interested? We look forward to receiving your message, including cover letter, CV, current grades, and possibly other references/transcripts


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


Art der Stelle:
Praktikum


Arbeitszeiten:

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

Leistungen:

  • Flexible Arbeitszeiten
  • Homeoffice

Arbeitsort:
Vor Ort

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