Internship in Machine Learning (f/m), Lohr am Main

At Bosch, we care. For you, our business, and our environment. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

In 1886, Robert Bosch founded the “Workshop for Precision Mechanics and Electrical Engineering” in Stuttgart. This was the birth of today‘s globally operating company. Right from the start, it was characterized by innovative strength and social commitment.

For us, sustainability means securing the company’s long-term success while at the same time protecting the natural resources on which present and future generations depend. Ecology is thus a driver of innovation. At the same time, we demonstrate a particularly high level of corporate social responsibility — both within the company and beyond.

Compliance is an integral part of our company’s values. With rules of conduct that apply around the world, we aim to protect our associates and company as well as our customers and partners.

Missions

Artificial Intelligence makes it possible to solve complex problems by using information obtained from a huge amount of sensor or machine data. This international and pioneering task is called Machine Learning and enables intelligent decisions. Since the amount of sensors is also increasing in industry, there are new opportunities even in embedded devices.

• Make it your project: You use your creativity and have the freedom to make your own decisions on how to deal with given problems.
• Be part of a dynamic team: Together we develop strategies to use gained knowledge in future products.
• Implement your code: You implement, apply and optimize Machine Learning algorithms and create prediction models for various industrial data.
• Be conscientious: Your documentation will help to create sustainable modules.

Profile

• Character: team-minded, independent and pro-active
• Working practice: structured, able to take responsibility and organize work
• Experience and knowledge: good knowledge of Deep Learning (e.g. Tensorflow), practical experience in signal processing and strong programming skills (e.g. Python, C++) will be an advantage
• Language: very good skills in written and spoken English
• Education: student in the field of Computer Science, Electrical Engineering, Mathematics, Physics or similar