Job Description

We are looking for enthusiastic interns to join our research team for in developing new machine learning/deep learning algorithms for various real-world applications of AI, including but not limited to the areas of robust machine learning, Computer Vision, hybrid modeling / physics-based machine learning, and embedded AI. This internship role will focus on the following responsibilities:

• Design and development of novel Deep Learning algorithms, implementation and evaluation using multi-modal Bosch data from application areas such as autonomous driving and robotics
• Technical discussions and creation of new ideas within the existing Deep Learning research team, in order to improve upon the existing solutions
• Clean, efficient, and well-documented implementation of new deep learning methods
• Code contributions to our deep learning framework
• Publish at leading AI conferences, and ultimately shape the future of Bosch products and services.

Qualifications

REQUIRED QUALIFICATION:

• Pursuing a PhD degree in Computer Science, Data Science, Electrical Engineering, or Mathematics
• 2+ years of programming experience, in particular Python
• 2+ years of experience in Machine Learning, or Deep Learning
• Broad knowledge of Machine Learning algorithms and principles
• Established publication record in Machine Learning or Computer Vision or related fields
• Excellent communication skills

DESIRED QUALIFICATION:

• Experience with Deep Learning frameworks (PyTorch, Keras, or Tensorflow)
• Proficiency in Machine Learning algorithms and principles
• Experience defining personal research roadmap

Additional Information

INTERNSHIP DURATION: 3 Months

By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

• FIRST Robotics (For Inspiration and Recognition of Science and Technology)
• AWIM (A World in Motion)