Internship in Deep Learning Research (f/m/x)

  • ZEISS Group
  • München, Germany
  • 11/06/2021
Full time Data Science Data Analytics Big Data Data Management Statistics

Job Description

Munich

Thrive on innovation at a global technology leader. Develop exciting solutions in a diverse, stable work environment that’s focused on the future. Join us in a modern work environment with an open and inspiring culture and colleagues!

Want to drive the next generation of intelligent products?

We are looking for passionate and talented students who want to make an impact by applying state-of-the-art machine learning algorithms to application-relevant use cases at ZEISS. Integrated in a fast-growing team of researchers at Corporate Research and Technology from whom you can learn, you will work (at least 4 months) on methods to reduce the annotation time for medical imaging data easing the work of medical professionals in a variety of application fields.

You have:

  • a bachelor’s degree in computer science, mathematics, physics, or related fields with an outstanding study record
  • a good understanding of machine learning and computer vision, as well as of best practices in model development
  • a solid programming background in Python and hands-on experience with machine learning frameworks like PyTorch or Tensorflow
  • a high motivation, creativity, and flexibility, as well as a structured and independent way of working
  • good communication and presentation skills

If you have any technical questions regarding this position, please contact the relevant department (Antonia Schulze, antonia.schulze@zeiss.com). Please send any other and all HR-related questions to studenten@zeiss.com.

As a student worker, you will work side by side with your coworkers as equals in an environment which will allow you create the ideal conditions for your future career.

In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Join us today. Inspire people tomorrow.

Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.