ML Engineer – Computer Vision
Job Description:
• Utilize the latest techniques in artificial intelligence and computer vision
• Work on confidential projects that will impact Entefy’s suite of products
• Engage your deep understanding of algorithms to build never-before-seen machine intelligence
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.
• 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
Benefits:
• Utilize the latest techniques in artificial intelligence and computer vision
• Work on confidential projects that will impact Entefy’s suite of products
• Engage your deep understanding of algorithms to build never-before-seen machine intelligence
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.
• 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
Benefits: