Job Description

We are seeking hands-on, full-time, Research Scientists and Staff Research Scientists with deep knowledge and interest in Deep Learning for Computer Vision and Image Analytics and with a focus on their extensions and industrial application. Our research group works with Siemens’ business units from the early phase of finding opportunities through designing solutions and implementing prototypes as well as government funding agencies to develop cutting edge application prototypes and end solutions. We need someone who thinks creatively, is innovative, and curious to find sound solutions to customer problems to help us transform industry!

This right person for this role has extensive knowledge and experience in research, design, and implementation of algorithms in Deep Learning for Computer Vision and Image Analytics as well as competencies in building applications in Augmented and Virtual Reality. The person will also have the ability to apply image and video analysis techniques to large-scale, real-world problems.

The Challenge

In this role as a Research Scientist, you will:

Research, design, and implement algorithms in Deep Learning for Computer Vision and Image Analytics.
Contribute to research projects that develop a variety of algorithms and systems in computer vision, image and video analysis.
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 image and video analysis product components.
Working with customers to understand algorithm requirements and deliver high-quality solutions.

The Candidate

Ph.D. in Computer Science, Electrical Engineering, or related discipline required. Strong background in Deep Learning.
Research Scientists will have a min of 3 years of Graduate research and internship experience in Computer Vision, Machine Learning and Image Understanding preferred. Staff Research Scientists will have a min of 6 years of experience in fields mentioned.
Proven track record developing 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 computer vision, image and video analysis, specifically object detection, tracking and recognition, statistical modeling, statistical pattern recognition, machine learning, sparse methods, applied mathematics, optimization.
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.
Practical experience and proficiency with Machine Learning modeling frameworks such as PyTorch, TensorFlow, etc.
Strong understanding of data-efficient learning techniques
Experience building analytics applications using Machine or Deep Learning for the deployment on edge devices.
Experience with CAD models, and sensor generated data such as point cloud data.
Experience in training algorithms with limited data, specifically semi-supervised/weakly supervised training techniques, experience with deep generative models
Outstanding written and verbal communication skills in English are required.
Excellent interpersonal skills and a can-do attitude.
Ability to work independently and prioritize work.
Strong collaboration skills and ability to thrive in a fast-paced environment.
Flexibility and adaptability to work in a diverse and dynamic team.