Research Engineer (m/f) Reinforcement Learning, Renningen

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

• Create something new: You develop and implement the state-of-the-art machine learning algorithms (with focus on optimization, reinforcement learning and deep learning algorithms) in the context of a strategically important Robert Bosch project.
  
• Help shape the future: You interface with domain experts of various backgrounds and coordinating AI activities across multiple locations.
• Take responsibility: You take part at requirements analysis for both Artificial Intelligence (Al) research as well as business customer requirements.
• Reliable implementation: You maintain and document the software framework and the implemented algorithms.
• Think holistically: You are resbonsilbe for the code preparation for evaluation, use, and rollout of the algorithms in Robert Bosch business units.

Profile

• Personality: own responsible and highly self-motivated
• Working Practice: strong team player and interested in advancing the state of the art in machine learning
• Experience and Knowledge: practical experience in development and implementation of machine learning software, experience in industrial production-quality software development and maintenance is a plus
• Qualifications: excellent programming skills, in particular Python or Matlab, Technical experience with physical systems is a plus, experience in Linux systems
• Languages: excellent English skills
• Education: Master in computer science, data science, mathematics, physics or related subjects