Siemens · 1 month ago
Industrial AI and Vision Internship
Siemens is a global technology company focused on industry, infrastructure, transport, and healthcare. In this internship role, you will contribute to the development and deployment of innovative AI and vision solutions for industrial applications, working on real-world challenges and collaborating with experts across the organization.
Artificial Intelligence (AI)ConsultingCyber SecurityInternet of Things
Responsibilities
Contribute to industrial research projects focused on AI and computer vision for various applications, such as visual inspection, predictive maintenance, and autonomous systems
Develop and implement AI models, including deep learning architectures, for image and video analysis in industrial settings
Work with real-world industrial datasets, including multi-modal data, to train, validate, and deploy AI solutions
Explore and experiment with different AI paradigms, from traditional machine learning to agentic systems and Large Language Models (LLMs), for industrial use cases
Collaborate and exchange ideas with experts in AI, computer vision, and industrial automation across Siemens research and business units
Qualification
Required
MS or PhD student pursuing a degree in Computer Science, Electrical Engineering, Robotics, Applied Mathematics, or a closely related field
Programming proficiency in Python — including experience writing clean, modular, reusable code and working with AI/ML libraries such as TensorFlow, PyTorch, or Keras
Foundational knowledge of modern AI systems architectures and deployment strategies for industrial applications
Hands-on experience working with real-world data, including data preprocessing, feature engineering, and model training
Proficiency in English, both written and verbal
Legally residing in the United States of America and hold a valid work permit for the US
Preferred
Practical experience in computer vision, including object detection, segmentation, classification, or anomaly detection
Familiarity with agentic systems, reinforcement learning, or the application of Large Language Models (LLMs) in industrial contexts
Experience with multi-modal data processing and fusion (e.g., combining visual data with sensor data)
Experience with cloud platforms (e.g., AWS, Azure, GCP) for AI model deployment and MLOps
Familiarity with industrial communication protocols or embedded systems for edge AI deployments
Experience with software development best practices: version control (Git), unit testing (pytest), and technical documentation
Flexibility and adaptability to work in a growing, dynamic, interdisciplinary team of experts across AI, computer vision, and industrial engineering
Company
Siemens
Siemens empowers customers to transform the industries that form the backbone of economies: industry, transportation, buildings and grids.
Funding
Current Stage
Public CompanyTotal Funding
$7.01BKey Investors
US Department of Energy
2025-02-20Post Ipo Equity· $1.5B
2024-09-17Grant· $1.5M
2024-09-04Post Ipo Debt· $332.4M
Recent News
pv magazine USA
2026-05-15
2026-05-14
2026-05-14
Company data provided by crunchbase