Qualifications
Basic Qualifications
- Master’s student in Computer Science or related fields (Must be a current student)
- Hands-on experience on developing computer vision and machine learning algorithms with focus on at least two of the following areas: multimodal foundation models, diffusion models, detection/segmentation, 3D scene understanding, autonomous driving , and sensor fusion.
- Solid Python skills and proficient with libraries such as MMCV, and PyTorch.
Preferred Qualifications
- Experience with training codebase of popular open-source vision and foundation models.
- Familiar with SOTA vision and learning methods of multimodal LLMs, diffusion models, Diffusion Models, knowledge distillation, and so on.
- Able to work independently, has strong research and problem-solving skills
- Strong background in math and statistics is a plus.
- Good communication and teamwork skills
Additional Information
- Major(s): Computer Science or related fields
- Degree level: MSc. Candidates
- Start Date: May, 2025
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)
The U.S. base salary range for this intern position is $43.00-$66.00. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.*
All your information will be kept confidential according to EEO guidelines.
By choice, we are committed to a diverse workforce – EOE/Protected Veteran/Disabled.
For more information on our culture and benefits, please visit:
Culture and Benefits | Bosch in the USA