Research Scientist - Deep Multimedia Analysis

Job description

  Princeton, New Jersey
·  Research & Development
·  236898
Corporate Technology

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Job Description

Organization: Corporate Technology
Business Unit: Research in Digitalization and Automation
Requisition Number: 236898
Primary Location: United States-New Jersey-Princeton
Assignment Category: Full-time regular
Experience Level: Entry level
Education Required Level: Doctorate Degree
Travel Required: 5%

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 research.

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:

The Vision Technologies and Solutions group within Siemens Corporate Technology has an immediate opening in Princeton, NJ for a research scientist with a focus on Deep Learning for Multimedia Analysis . This role is an exciting opportunity to join a newly formed team and contribute to its future growth.

Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated researchers. 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 such as CVPR, ECCV, ICCV, ETC.

What are my responsibilities?

·  Research, design, and implement algorithms in Deep Learning for Multimedia Analysis (e.g. images and texts).
·  Contribute to research projects that develop a variety of algorithms and systems in machine learning, multimedia analysis, and natural language processing.
·  Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.
·  Apply image and video analysis techniques such as deep learning to large-scale, real-world problems.
·  Fast prototyping, feasibility studies, specification and implementation of multimedia analysis product components.
·  Working with customers to understand algorithm requirements and deliver high-quality solutions.

What do I need to qualify for this job?

·  Ph.D. in Computer Science, Electrical Engineering, or related discipline required. Strong background in Deep Learning and Natural Language Processing.
·  Minimum of 3 years of Graduate research and internship experience in Computer Vision, Machine Learning or Natural Language Processing preferred.
·  Proven ability to develop new research ideas as demonstrated by a strong publication record and early developments to the level of a working system prototype.
·  Strong theoretical and practical background in machine learning and multimedia analysis. Previous experience in Natural Language Processing, Visual Question Answering (VQA) or Visual Dialog preferred.
·  Hands-on coding skills and ability to quickly prototype in C++ is a must. Further experience in Scripting languages such as Python is a plus.
·  Outstanding written and verbal communication skills in English are required.
·  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 onhttp://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs?view=category&id=33 #

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 .

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