Deep Learning Engineer, Semantic Segmentation- Video Computer Vision


Job Overview

Key Qualifications

  • Experience in designing network architectures for image2image translations tasks like Semantic Segmentation, Panoptic Segmentation and Depth Estimation
  • Consistent track record of researching, inventing and/or shipping advanced machine learning algorithms
  • Solid mathematical foundation of machine learning and deep learning techniques
  • Strong coding skills in python and C/C++
  • Proficiency in at least one major machine learning framework, such as Tensorflow, PyTorch etc.
  • Creativity and curiosity for solving highly complex problems
  • Excellent communication and collaboration skills
  • Description

    We are looking for a skilled deep learning and computer vision engineer for our team. In this role, you will perform research and development work to design algorithms for challenging real world problems in the domain of scene understanding and reasoning.Your key responsibilities in this role are:Research, design and implementation of machine learning/deep learning algorithmsBenchmarking and fine tuning of machine learning/deep learning algorithmsOptimizing these algorithms for real time and low power constraintsSupport algorithm integration into Apple productsCollaboration with teams across Apple with multidisciplinary skills

    Education & Experience

    MS in Computer Science or related field with focus on machine learning, computer vision, robotics or similar; and PhD degree with focus on deep learning or alternatively a comparable industry career of 3+ years

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