Norfolk Southern Corp. is looking to leverage cutting-edge machine learning and statistical techniques to solve real-life use-cases within their Computer Vision team, aiming to develop skills and provide actionable insights to the business while gaining railroad business knowledge in relation to Machine Learning models.
Requirements
- 1+ years of experience with python required.
- Hands-on and theoretical knowledge of deep learning-based computer vision models.
- Knowledge of one or more of the following, pytorch, tensorflow-keras or other deep learning framework.
- Object detection, semantic segmentation, instance segmentation, pose estimation, classification.
- Hands-on and theoretical knowledge of deep learning-based computer vision models yolov5 or newer, faster-rcnn, mask-rcnn, detr, ssd, resnet, or transformer models.
- Experience operating in a Unix/Linux operating system and using docker.
- Machine learning, neural network, and deep learning.
Responsibilities
- Assist with design, develop, and implement deep learning algorithms for unique use cases.
- Evaluate accuracy and quality of the designed models as well as data sources.
- Work on the latest models and changes in the technology.
- Communicate results and implications to colleagues and business partners.
Other
- Active enrolled student during the months of January through April 2026.
- Hybrid (three days in office; two days remote)
- Duration: 12 weeks
- Schedule: Monday through Friday; 9AM -5PM
- Inclusive Environment: join a diverse and inclusive workplace that values collaboration and innovation.
