Logo of Huzzle

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

image

ZEISS Group

Aug 27, 2024

  • Internship
    Full-time
    Off-cycle Internship
  • Munich
  • Quick Apply

AI generated summary

  • You need a Bachelor’s in a relevant field, solid ML and computer vision knowledge, Python skills, experience with PyTorch/TensorFlow, and strong communication abilities.
  • You will develop machine learning algorithms, collaborate with scientists and engineers, and prototype academic ideas into functional models over a 3-month internship.

Requirements

  • Bachelor’s degree in computer science, mathematics, physics, or related fields with an outstanding study record, and currently enrolled in a master’s program
  • Solid understanding of machine learning and computer vision
  • Programming background in Python and hands-on experience with machine learning frameworks such as PyTorch or Tensorflow
  • High motivation, creativity, flexibility, and a structured and independent way of working
  • Effective communication and presentation skills

Responsibilities

  • We are seeking passionate and talented students who want to make an impact by helping to develop next generation products and innovative machine learning algorithms at ZEISS.
  • Integrated in a fast-growing team of scientists and research engineers, you will work (for at least 3 months) on helping us to develop core algorithms and taking academic ideas into working prototypes.

FAQs

What is the duration of the internship?

The internship lasts for at least 3 months.

What academic background is required for this internship?

A bachelor's degree in computer science, mathematics, physics, or related fields is required, and candidates should be currently enrolled in a master’s program.

What technical skills are needed for this position?

A solid understanding of machine learning and computer vision, programming skills in Python, and hands-on experience with machine learning frameworks such as PyTorch or TensorFlow are required.

What qualities are you looking for in a candidate?

We are looking for candidates with high motivation, creativity, flexibility, and a structured and independent way of working, along with effective communication and presentation skills.

Who can I contact for more information about the internship?

You can contact Laura Steininger from the ZEISS Recruiting Team for more information.

Is prior experience in machine learning required for the internship?

While prior experience is not explicitly required, a solid understanding of machine learning and computer vision is essential.

Are international applicants eligible for this internship?

The job description does not specify eligibility for international applicants; please contact the ZEISS Recruiting Team for clarification.

What kind of projects will I be working on during the internship?

You will be helping to develop core algorithms and take academic ideas into working prototypes, integrated within a fast-growing team of scientists and research engineers.

Manufacturing & Electronics
Industry
10,001+
Employees
1846
Founded Year

Mission & Purpose

ZEISS is an internationally leading technology enterprise operating in the fields of optics and optoelectronics. In the previous fiscal year, the ZEISS Group generated annual revenue totaling 10 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (status: 30 September 2023). With around 43,000 employees, ZEISS is active globally in almost 50 countries with around 30 production sites, 60 sales and service companies and 27 research and development facilities (status: 30 September 2023). Founded in 1846 in Jena, the company is headquartered in Oberkochen, Germany. The Carl Zeiss Foundation, one of the largest foundations in Germany committed to the promotion of science, is the sole owner of the holding company, Carl Zeiss AG.