Bosch Research and Technology Center North America is looking to solve the problem of developing cutting-edge AI and sensing technologies to shape the future of the company's products, with a focus on designing and developing intelligent multi-modal sensing at the intersection of deep learning and signal processing.
Requirements
- Strong foundation and broad knowledge of Machine Learning algorithms and principles
- Programming experience in Python + PyTorch
- Experience with working on Machine Learning, or Deep Learning projects
- Established publication record in Machine Learning or Computer Vision or Natural Language Processing or related fields
- Good coding practices, ability to write efficient and readable code
Responsibilities
- Design, development and implementation of novel deep learning algorithms targeted towards scalable and verifiable data-curation and auto-labeling on public benchmarks and multi-modal Bosch data from application areas such as automated driving and robotics
- Technical discussions with the research team towards creation of new ideas and improve upon the existing solutions
- Clean, efficient, and well-documented implementation of new AI methods
- Code contributions to our deep learning framework
- Publish at leading AI conferences, and ultimately shape the future of Bosch products and services
Other
- Pursuing MS or PhD degree in Computer Science / Engineering, Data Science, Electrical Engineering, or Mathematics
- Excellent communication skills
- Good writing and presentation skills
- Equal Opportunity Employer, including disability / veterans
- Employment is contingent upon the successful completion of a drug screen and background check
