0Intern in the field of AI - Reinforcement Learning (m/f/d)
BSH Hausgeräte Gruppe | Germany | 89xxx Dillingen an der Donau | Practical training | Part time - flexible / Full time | Published since: 20.05.2026 on stepstone.de

Intern in the field of AI - Reinforcement Learning (m/f/d)

Branch: Electrical engineering Branch: Electrical engineering


Get in and use your chance to grow – with the BSH Home Appliances Group: As a leading manufacturer of home appliances and first-class solutions, we are pushing things forward to facilitate everyday life. With our global brands Bosch, Siemens, Gaggenau and Neff, as well as our local brands, the whole world of possibilities is open to you. We encourage people to develop their potential and continuously learn. Because we believe that good work is created when you do what you love. Join us on this path and give your career a home. Intern in der Bereich KI - Reinforcement Learning (m/w/d) BSH Hausgeräte GmbH | Job-ID: 76044351 | Full time / part time | from September 2026 Dillingen a.d.Donau

Your tasks • Your profile • What we offer

Get in and use your chance to grow – with the BSH Home Appliances Group: As a leading manufacturer of home appliances and first-class solutions, we are pushing things forward to facilitate everyday life. With our global brands Bosch, Siemens, Gaggenau and Neff, as well as our local brands, the whole world of possibilities is open to you. We encourage people to develop their potential and continuously learn. Because we believe that good work is created when you do what you love. Join us on this path and give your career a home. Intern in der Bereich KI - Reinforcement Learning (m/w/d) BSH Hausgeräte GmbH | Job-ID: 76044351 | Full time / part time | from September 2026 Dillingen a.d.Donau

You already have theoretical knowledge and would like to complement this with practical experience in a dynamic company? Then support us with your talent and expertise in the following tasks: Support in the development of an adaptive system for use in dishwasher Preparation and Construction of a Reinforcement Learning Environment as a Virtual Test Platform (Digital Twin) Development and Training of Reward Functions for the Learning Process Systematic testing and comparison of different types of agent (Single-Objective & Multi-Objective-RL) Ensuring knowledge transfer through systematic documentation)

Studies in the field of Artificial Intelligence/Data Science, Computer Science, Electrical Engineering or comparable engineering education First experience in developing systems based on Deep Reinforcement Learning is desirable Good knowledge of model-based development based on Phyton and/or Matlab/Simulink Very good knowledge of German and English

Flexible design of working time by means of time account 35h / week Support for team integration and integration Cooperation at eye level as well as a valuable working atmosphere Working in an inspiring team with hands-on mentality

Location

ava BSH Hausgeräte Gruppe
89407  Dillingen an der Donau
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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