Summary
Siemens Healthineers is a global medical technology company focused on pioneering breakthroughs in healthcare. The Research Intern will develop multimodal vision, language, and action models for robotic tasks, design multi-sensor data fusion pipelines, and connect perception with planning and control using AI frameworks.
Responsibilities
- Developing and fine-tuning multimodal vision/language/action models for downstream robotic tasks
- Designing pipelines that fuse multi-sensor imaging and kinematic signals into unified spatial representations
- Connecting perception to planning and control through VLA-based policies and agentic AI decision-making frameworks
Skills
- Currently enrolled in and pursuing studies at a foreign degree- or certificate-granting post-secondary academic institution outside the United States OR Has graduated from such an institution no more than 12 months prior to his or her exchange visitor program start date
- A successful candidate must be able to work with controlled technology in accordance with US export control law
- M.S., Ph.D., or postdoctoral researcher in Computer Science, Robotics, Electrical Engineering, Biomedical Engineering, or a closely related field
- Strong programming skills in Python and experience with modern deep learning frameworks (e.g., PyTorch)
- Demonstrated research experience in computer vision, deep learning, or multimodal machine learning (e.g., publications, projects, or advanced coursework)
Qualifications
Must Haves
- Currently enrolled in and pursuing studies at a foreign degree- or certificate-granting post-secondary academic institution outside the United States OR Has graduated from such an institution no more than 12 months prior to his or her exchange visitor program start date
- A successful candidate must be able to work with controlled technology in accordance with US export control law
Nice to Haves
- M.S., Ph.D., or postdoctoral researcher in Computer Science, Robotics, Electrical Engineering, Biomedical Engineering, or a closely related field
- Strong programming skills in Python and experience with modern deep learning frameworks (e.g., PyTorch)
- Demonstrated research experience in computer vision, deep learning, or multimodal machine learning (e.g., publications, projects, or advanced coursework)
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) retirement plan
- Life insurance
- Long-term and short-term disability insurance
- Paid parking/public transportation
- Paid time off
- Paid sick and safe time