Machine Learning Research Intern

Company Description

The Bosch Group operates in most countries in the world. With over 400,000 associates, a career at Bosch offers a chance to grow an exceptional career in an environment that values diversity, initiative and a drive for results.

Job Description

We are looking for research interns (spring/summer/fall 2023) to join our research team in developing new machine learning/deep learning algorithms for various real-world applications of AI, including but not limited to: self-supervised learning, foundation models, zero/few-shot learning, adversarial robustness, computer vision, semantic segmentation, deep probabilistic modeling, and physics-based machine learning. 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 manufacturing, 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

• Pursuing or starting a PhD degree in Computer Science / Engineering, Data Science, Electrical Engineering, or Mathematics 
• 2+ years of programming experience, in particular Python + PyTorch / jax
• 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 

Additional Information

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)

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

All your information will be kept confidential according to EEO guidelines.