Research Engineer in Probabilistic Modeling

  • Robert-Bosch-Campus 1, 71272 Renningen, Germany
  • Full-time
  • Legal Entity: Robert Bosch GmbH

Company Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology – with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.                       

The Robert Bosch GmbH is looking forward to your application!

Job Description

 

  • Create something new: You create a clean, efficient, well-tested and well-documented code and derivate optimal software architectures for new machine learning concepts. You realize novel machine learning solutions in real-world applications of Robert Bosch business units in different application domains, e.g. algorithms for automotive applications, manufacturing, robotics and computer vision.
  • Help shape the future: You implement and evaluate novel and state-of-the art machine learning algorithms; in particular probabilistic machine learning approaches such as probabilistic graphical models, (sparse) kernel methods, approximate inference techniques and latent variable models.
  • Take responsibility: You maintain and document the software framework and the implemented algorithms.
  • Experience cooperation: You are part of technical discussions and create new ideas & applications within the existing machine learning research team.
  • Networked communication: You have close contact to the scientific machine learning community and contribute to research papers.
  • Structured evaluation: You evaluate and compare machine learning algorithms for real-world applications, e.g. future mobility solutions, electric driving and connected manufacturing.

 

Qualifications

 

  • Personality: highly self-motivated, excellent communication skills and team player
  • Experience and Knowledge: proven excellent programming skills, in particular Python or Matlab, other programming languages, e.g. CC++ are beneficial; broad knowledge of machine learning algorithms and principles (ideally probabilistic modeling); experience in development and implementation of machine learning technologies, preferably experience with real-world machine learning applications, experience in industrial production-quality software development and maintenance, experience with Linux and Windows
  • Enthusiasm: high motivated to advance the state of the art in machine learning modeling methods and to work in an interdisciplinary and international team
  • Languages: very good English skills
  • Education: master degree in computer science, data science, mathematics or related subjects with experience in machine learning. A PhD in machine learning is beneficial

 

Additional Information

Need support during your application?
Michael Streitmayer (Human Resources)
+49 711 811 33306

Need further information about the job?
Heiner Markert (Functional Department)
+49 711 811 42260

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