Job Description
Since 1827, Norfolk Southern Corporation (NYSE: NSC) and its predecessor companies have safely moved the goods and materials that drive the U.S. economy. Today, it operates a customer-centric and operations-driven freight transportation network. Committed to furthering sustainability, Norfolk Southern helps its customers avoid 15 million tons of yearly carbon emissions by shipping via rail. Its dedicated team members deliver more than 7 million carloads annually, from agriculture to consumer goods, and is the largest rail shipper of auto products and metals in North America. Norfolk Southern also has the most extensive intermodal network in the eastern U.S., serving a majority of the country's population and manufacturing base, with connections to every major container port on the Atlantic coast as well as the Gulf of Mexico and Great Lakes.
Responsibilities:
* Design, develop, and implement novel computer vision algorithms for unique use cases.
* Design and build novel/custom CNN architectures.
* Evaluate accuracy and quality of the designed models as well as data sources.
* Stay up to date with the latest models and changes in the technology.
* Design and develop production ready code.
* Communicate results and implications to colleagues and business partners.
* Coordinate with application development teams to integrate developed models with existing applications.
Required Skills & Experience
- Bachelor's, Master's or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Statistics or related field
- Minimum of 1-3 years of relevant industry experience (as a Computer Vision Scientist, Data Scientist, Research Scientist, Machine Learning Scientist, etc.), 3+ preferred; or proven qualifications.
- Excellent knowledge of Python and industry experience with TensorFlow, Keras and/or PyTorch
- Industry experience with image processing using Deep Learning (semantic segmentation, object detection, classification)
Nice to Have Skills & Experience
- Familiarity with various CNN architectures (VGG16, ResNet, MobileNet, etc)
- Experience with traditional image processing techniques (e.g. use of OpenCV, skimage)
- Experience with deployment to the edge devices (jetson nano or similar technologies)
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.