Description
**Job Family:** Research & Predevelopment
**Req ID:** 499768
**Industrial AI and Vision Internship**
Here at Siemens, we take pride in enabling sustainable progress through
technology. We do this through empowering customers by combining the real and
digital worlds. Improving how we live, work, and move today and for the next
generation! We know that the only way a business thrives is if our people are
thriving. That’s why we always put our people first. Our global, diverse team
would be happy to support you and challenge you to grow in new ways. Who knows
where our shared journey will take you?
**Transform the everyday with us!**
**In this role, you will work on-site in Princeton, NJ.**
Are you fascinated by the cutting-edge applications of AI
in the industrial world, from smart factories to advanced visual inspection? Do
you want to contribute to the next generation of intelligent industrial
systems? Here’s the right internship opportunity for you!
Join our research group, Autonomous Control and Operations,
located in Princeton, NJ, for a 3-6 month internship, and contribute to the
development and deployment of innovative AI and vision solutions for industrial
applications. Our close contact with different business units in Siemens
provides the opportunity to contribute to and gain experience in real
industrial challenges. During this internship, you will experience the
excitement and challenges of industrial research. An internship with Siemens Technology
is a great opportunity for students to gain real-world experience in a diverse
work environment.
Our Princeton facility is recognized for providing a
stimulating environment for highly talented and self-motivated students. You
will have the opportunity to test your knowledge in a challenging
problem-solving environment. You will be encouraged to think out of the box,
innovate and find solutions to real-life problems. Our team has a strong
publication record in leading journals and conferences.
Key responsibilities:
+ Contributeto industrial research projects focused on AI and computer vision forvarious applications, such as visual inspection, predictive maintenance,and autonomous systems.
+ Developand implement AI models, including deep learning architectures, for imageand video analysis in industrial settings.
+ Workwith real-world industrial datasets, including multi-modal data, to train,validate, and deploy AI solutions.
+ Exploreand experiment with different AI paradigms, from traditional machinelearning to agentic systems and Large Language Models (LLMs), forindustrial use cases.
+ Collaborateand exchange ideas with experts in AI, computer vision, and industrialautomation across Siemens research and business units.
Basic Qualifications:
+ MSor PhD student pursuing a degree in Computer Science, ElectricalEngineering, Robotics, Applied Mathematics, or a closely related field.
+ Programmingproficiency in Python — including experience writing clean, modular,reusable code and working with AI/ML libraries such as TensorFlow,PyTorch, or Keras.
+ Foundationalknowledge of modern AI systems architectures and deployment strategies forindustrial applications.
+ Hands-onexperience working with real-world data, including data preprocessing,feature engineering, and model training.
+ Proficiencyin English, both written and verbal.
+ Legallyresiding in the United States of America and hold a valid work permit forthe US.
Preferred Qualification:
+ Practicalexperience in computer vision, including object detection, segmentation,classification, or anomaly detection.
+ Familiaritywith agentic systems, reinforcement learning, or the application of LargeLanguage Models (LLMs) in industrial contexts.
+ Experiencewith multi-modal data processing and fusion (e.g., combining visual datawith sensor data).
+ Experiencewith cloud platforms (e.g., AWS, Azure, GCP) for AI model deployment andMLOps.
+ Familiaritywith industrial communication protocols or embedded systems for edge AIdeployments.
+ Experiencewith software development best practices: version control (Git), unittesting (pytest), and technical documentation.
+ Flexibilityand adaptability to work in a growing, dynamic, interdisciplinary team ofexperts across AI, computer vision, and industrial engineering.
A successful candidate must be able to work with controlled
technology in accordance with US Export Control Law. US Export Control laws and
applicable regulations govern the distribution of strategically important
technology, services, and information to foreign nationals and foreign
countries. Siemens may require candidates under consideration for employment
opportunities to submit information regarding citizenship status to allow the
organization to comply with specific US Export Control laws and regulations.
Additional information on the US Export Control laws & regulations can be
found on https://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs
About Siemens:
We are a global technology company focused on industry, infrastructure,
transport, and healthcare. From more resource-efficient factories, resilient
supply chains, and smarter buildings and grids, to sustainable transportation
as well as advanced healthcare, we create technology with purpose, adding real
value for customers. Learn more about Siemens here.
Our Commitment to Equity and Inclusion in our Diverse
Global Workforce: We value your unique identity and perspective. We are fully
committed to providing equitable opportunities and building a workplace that
reflects the diversity of society, while ensuring that we attract the best
talent based on qualifications, skills, and experiences. We welcome you to
bring your authentic self and transform the everyday with us.
#LI-JS
#LI-ONSITE
$32-$47
**Organization:** Foundational Technologies
**Job Type:** Full-time
**Category:** Internal Services
