#LI-EB23 #LI-Hybrid
Who we are and what we do: The AI and Data Science team is centralized across the entire organization.We work with various product teams across various business units to define high-impact business problems, solve them using novel techniques, and execute and monitor them throughout their lifecycle.Most of our models make it to production, they never sit in a research lab. But we also do quite a bit of research to stay up-to-date with the latest technologies/algorithms.We are very collaborative, you will likely get lots of ideas from the team.
What kind of problems do we solve:
Our locomotives stream 350+ sensor information in real-time. We create predictive models to predict various component failures hours, days, and sometimes months in advance.There are high-frame cameras beside our tracks, capturing images of trains and rail cars as they pass. We design various Deep Learning and Computer Vision algorithms to detect certain objects of interest or issues and defects. We then optimize their performance and deploy them at the edge for real-time scoring and notification of our mechanical personnel upon detections. What tools we use: We use Python, R, and Spark (PySpark, SparkR, Scala) for modeling and EDA. o You will have a local machine with 512GB of memory, so feel free to load the data in memory if it makes sense or if it fits (!)
You will also have terabytes of memory in our Spark cluster that is not shared by anyone.We use Jupyter notebook, Emacs, PyCharm, Rstudio as IDEs.We use Tensorflow, Keras, PyTorch, and MXNet for Deep Learning, and OpenCV for traditional Computer Vision. o You will have your own dedicated GPU (!) in addition to a GPU cluster to run parallel training and inference jobs.
We always have the latest versions of our tools/packages/libraries available. What are our requirements? Bachelor’s, Master’s or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Statistics or related fieldMinimum 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 PyTorchIndustry experience with image processing using Deep Learning (semantic segmentation, object detection, classification)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) is a plus What you will do: 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. Work Conditions
Environment: Hybrid (Remote/Onsite)
Norfolk Southern Corporation (NYSE: NSC) is a Fortune 300 organization and one of the nation’s premier transportation companies. Its Norfolk Southern Railway Company subsidiary operates approximately 19,500 route miles in 22 states and the District of Columbia, serves every major container port in the eastern United States, and provides efficient connections to other rail carriers. Norfolk Southern is a major transporter of industrial products, including chemicals, agriculture, and metals and construction materials. In addition, the railroad operates the most extensive intermodal network in the East and is a principal carrier of coal, automobiles, and automotive parts.
At Norfolk Southern, we believe in celebrating our individuality. By leveraging the unique backgrounds and viewpoints of our employees, we can create a culture of innovation, respect, and inclusion. We know that employees thrive in a workplace where differing viewpoints, ideas, and experiences are freely shared and valued. As such, we encourage all employees to contribute their distinctive skills and capabilities to our organization.
Equal employment opportunities are available to all applicants regardless of race, color, religion, age, sex, national origin, disability status, genetic information, veteran status, sexual orientation, and gender identity. Together, we power progress.
Effective December 8, 2021, NS has paused its implementation of the COVID-19 vaccine mandate given the dynamic legal proceedings. The ultimate outcome of the federal contractor vaccine mandate is yet to be determined. It is still possible that the mandate, as it applies to NS, could be upheld in court in the near future. If the mandate is upheld, NS employees will be required to be vaccinated or have an approved medical or religious accommodation.