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Machine learning research engineer internship

Oberkochen
Praktikum
beBee Careers
Ingenieur
Inserat online seit: 18 Juni
Beschreibung

As a student worker, you will be part of a dynamic and innovative team that combines theoretical knowledge with practical experience. This unique environment allows you to work alongside experienced colleagues as equals, creating ideal conditions for your future career.

Vergewissern Sie sich, dass Sie den Richtlinien entsprechen und die folgenden Informationen sorgfältig lesen.

In our modern setting, employees collaborate in a culture of expert knowledge and teamwork, supported by a special ownership structure and the long-term goal of bringing science and society together.

Diversity is an integral part of our organization. We welcome applications from individuals regardless of gender, nationality, ethnic or social origin, religion, philosophy of life, disability, age, sexual orientation or identity.


Key Responsibilities

* A Bachelor's degree in computer science, mathematics, physics, or related fields with an outstanding study record, and are currently enrolled in a master's program.
* Solid understanding of machine learning and computer vision.
* Strong programming background in Python and hands-on experience with machine learning frameworks such as PyTorch or Tensorflow.
* Preferably experience with medical data processing, including familiarity with medical imaging modalities such as video, X-ray, MRI.
* High motivation, creativity, flexibility, and a structured and independent way of working.
* Effective communication and presentation skills.


Benefits

We offer a supportive and stimulating environment where you can develop valuable skills, expand your network, and grow both professionally and personally.

You will have the opportunity to contribute to exciting projects, helping us develop next-generation products and innovative machine learning algorithms.

Our integrated team of scientists and research engineers provides a fast-paced and collaborative atmosphere, allowing you to work on core algorithms and take academic ideas into working prototypes.

With us, you will gain hands-on experience, acquire new skills, and make a meaningful impact on our cutting-edge projects.

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