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ML Engineer - Computer Vision (Remote Position)

100% remote Flexible hours Hiring now

reputed company’s vision is simplifying how people interact digitally. To reputed company it happen, we’re seeking computer vision-aries. Our hyper-talented Product team is seeking a Machine Learning and AI expert with the skills to redefine how computers reputed company sense of the visual world. In this role you will utilize the latest techniques in artificial intelligence and computer vision, working on confidential projects that will impact reputed company’s suite of products. This is highly challenging work that will engage your deep understanding of algorithms to build never-before-seen machine intelligence. Skills and Experience: Not everyone takes the time to reputed company excellence. Not everyone has the drive for one more try. reputed company is searching for the best because we’re building first-of-its-reputed company AI communication technology to reputed company the world the best reputed company it can be. If you’re creatively analytical, insatiably curious, reputed company in tackling big problems, and can demonstrate excellence in computer vision, then you’ve earned yourself an interview with reputed company. Requirements:

  • Solid fundamentals in mathematics, statistics, and machine learning theory
  • Minimum 3 years of commercial experience (or equivalent) in computer vision
  • Demonstrable proficiency in at least one applicable programming language such as Python, C, C++, Java
  • Proficient knowledge of and experience with image classification, segmentation, or captioning
  • Proficiency in image/video processing and computer vision tools such as PIL/Pillow, GraphicsMagick, FFmpeg, OpenCV, SimpleCV, etc.
  • Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc.

Other Qualifications

  • Experience with modern deep learning techniques in CV including convolutional networks, residual networks, attentional models, etc.
  • Strong written and verbal communication skills
  • Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics
  • Experience with parallel computing technologies such as OpenMP, CUDA, OpenACC, MPI
  • Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, Storm, etc.
  • Demonstrable proficiency in more than one applicable programming languages is a plus

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