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ML Engineer - Computer Vision (Remote Position)

United States · remote · Salary not listed

Role overview

Entefy’s vision is simplifying how people interact digitally. To make 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 make 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 Entefy’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 achieve excellence. Not everyone has the drive for one more try. Entefy is searching for the best because we’re building first-of-its-kind AI communication technology to make the world the best place it can be. If you’re creatively analytical, insatiably curious, fearless in tackling big problems, and can demonstrate excellence in computer vision, then you’ve earned yourself an interview with our team.

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