Intern - Computer Vision and Deep Learning Internship in Princeton

Intern - Computer Vision and Deep Learning Internship
Siemens AG
Princeton NJ USA

Job Details

Updated on 2019-07-22
Division: Corporate Technology
Business Unit: Corporate Technology
Requisition Number: 231560
Primary Location: United States-New Jersey-Princeton
Assignment Category: Full-time temporary
Experience Level: Entry level
Education Required Level: Bachelor's Degree
Travel Required: No

Division Description:

For nearly 170 years, pioneering technologies and the business models
developed from them have been the foundation of Siemens‘ success. Our
central research and development unit, Corporate Technology (CT) plays
an important role in this. Together with our global network of experts, we
are a strategic partner to Siemens’ operative units and provide important
services along the entire value chain – from research and development to
production and quality assurance, as well as optimized business
processes. Our support provided to the businesses in their research and
development activities is ideally balanced with our own future-oriented

We at Corporate Technology are more than employees: We are actively
helping to make people’s lives a little better every day. Would you like to be
a part of that? Then join us. We offer you a high level of practical relevance
as well as an opportunity to individually contribute your knowledge and
your visions around the world. Whether you’re helping to develop products
for the operating units or working in interdisciplinary projects for the
business areas: At Corporate Technology you’ll be working in the heart of
Siemens’ technological research together with the best.

Job Description:

Are you interested in empowering machines with better than human perception and cognition skills?
Here’s the right internship opportunity for you!
Join our research group Vision Technology and Solutions group within Siemens Corporate Technology in Princeton, NJ has immediate openings for internships in computer vision and deep learning. We address a wide variety of computer vision and perception problems and have a strong publication record in leading journals and conferences. You will have an opportunity to test and expand your knowledge with a focus on innovation and real-world computer vision applications such. Our group is focusing on wide variety of technologies at the intersection of deep learning and computer vision and we are looking for team members that are interested in research topics including, but not limited to, deep learning, object recognition, semantic scene understanding and reasoning and transfer learning.
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.
What are my responsibilities? (Keep this very high level based on the type of projects your research group has had in the past or anticipates having in the future)
  • You will contribute to development of a variety of algorithms and systems in computer vision, image and video analysis domains (including publications).
  • You will collaborate and exchange ideas with experts in the fields of deep learning and computer vision
  • You will implement concepts and solutions in prototypes.
What skills are needed to qualify for this internship? (Keep this high level if you plan on hiring multiple interns with varied backgrounds and skills sets)
  • A current student pursuing a MS/PhD degree in Engineering or Mathematics 
  • 1 years of experience in advanced algorithm prototyping in computer vision, machine/deep learning, or related fields. 
  • 1 years of coding skills and ability to quickly prototype in C++. Further experience in scripting languages such as Python is a plus.
  • Domain knowledge in computer vision and autonomous driving domain is preferred
  • Excellent team working and communication (verbal & written) skills
  • Flexibility and adaptability to work in a growing, dynamic, interdisciplinary team of experts.
  • 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



Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.

Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.

Intern - Computer Vision and Deep Learning Internship
Siemens AG
Princeton NJ USA