Computer Vision/Deep Learning Scientist (Various Levels)

About

Computer Vision/Deep Learning Scientists 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.

What You'll Do

• Design, develop, and implement novel computer vision algorithms for unique use cases.
• Evaluate accuracy and quality of the designed models as well as data sources.
• Do quite a bit of research to stay up to date with the latest technologies/algorithms.
• They are very collaborative.

Requirements

• Highly technical and require advanced skills with computers and proficiency with Open-Source tools and technologies such as Tensorflow, Keras, PyTorch, and MXNet for Deep Learning, and OpenCV for traditional Computer Vision.
• Excellent knowledge of Python and industry experience with TensorFlow, Keras and/or PyTorch.
• 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).
• They work on dedicated GPU machines and run their models in parallel on GPU Clusters.

Qualification

• Bachelor s, Master s or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Statistics or related field