Computer Vision/Deep Learning Scientist(Remote, w2 / 1099 candidates)

    • $80+

    • Contract: W2, Independent, 2 Year(s)


    • Python
    • TensorFlow
    • PyTorch Deep Learning Image and Video Processing
    • Analytics

    Job Description

    Computer Vision/Deep Learning Scientist(Remote, w2 / 1099 candidates) 100% Remote Long term contract
    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.

    • 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.
    • Conduct research to stay up to date with the latest technologies/algorithms. They are very collaborative.
    • Work on dedicated GPU machines and run your models in parallel on GPU Clusters.

    Required Experience:

    • 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.
    • 5+ years of Python expertise and experience with TensorFlow and PyTorch is a MUST. This role requires heavy Python coding.
    • Experience with Computer Vision (image) processing using Deep Learning (Image classification, semantic segmentation, object detection, classification, localization, etc.).
      • Familiar with cutting-edge deep learning model architecture, like YOLO, SSD, ResNet, FastRCNN, etc.
      • Familiarity with various CNN architectures (VGG16, ResNet, MobileNet, etc.).
      • Experience with traditional image processing techniques (e.g., use of OpenCV, skimage).
    • Experience with Deep Learning “Image and Video” Processing/Analytics, not text or numerical data.

    Bachelor’s, Master’s or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, ECE, Statistics, Physics. Math.

    Benefits (employee contribution):

    • Health insurance
    • Health savings account
    • Dental insurance
    • Vision insurance
    • Flexible spending accounts
    • Life insurance
    • Retirement plan

    All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.