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Company Name

Huawei Japan

Job Type

AI Engineer

Work Detail

1. General development of image processing/image recognition algorithms to improve smartphone camera image quality and user experience. - Photo/video image quality improvement (noise reduction, super-resolution, HDR, etc.), automatic editing, and content generation. - Image recognition and understanding to improve the user shooting experience. - Proposal of camera systems including camera hardware (lenses/image sensors). - Implementation and verification of new papers in related fields. 2. Development of image processing/image recognition algorithms using machine learning, particularly deep learning. 3. Research and analysis of new and emerging technologies. 4. Promotion of joint research and development with domestic universities and research institutes. 5. Development of intellectual property.

Ideal Profile

Required Requirements: 1. Master's or PhD course in computer science, electrical engineering, or related major. 2. Deep neural network (DNN) modeling for image processing and computer vision. Experience using Caffe, Tensorflow, or Pytorch. 3. Development experience using C/C++, Python, or Matlab. Preferred Requirements: 1. Experience in research related to image processing, photography, or computer vision.

Work Location

Shinagawa Grand Central Tower, 8th floor, 2-16-4 Konan, Minato-ku, Tokyo

Phd. Stating Salary

Negotiable Example 1: 24-year-old, research position, new master's graduate, basic monthly salary of 430,000 yen Example 2: 30-year-old, research position, new doctoral graduate, basic monthly salary of 450,000 yen We are also recruiting for new doctoral graduates, postdocs, and second-time graduates.

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Tome Research Institute Co., Ltd.

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[Specific Job Description] - Research and development of cutting-edge AI software - Research and development of new algorithms for artificial intelligence, machine learning/deep learning, data science, image processing, inspection/measurement/robotics, natural language processing, human interface, embedded control, etc. [For example...] - Machine learning and deep learning, which are used for human (natural intelligence) knowledge processing - Core technologies that dramatically improve the accuracy of judgment and recognition of image, voice, language, and other data - Image processing, which is used for human (natural intelligence) visual processing - Image recognition for identifying objects and estimating their location, as well as GPU programming for high-speed processing - Natural language processing, which is used for human (natural intelligence) language processing - Speech recognition and information retrieval required for response, as well as machine learning technologies to improve their accuracy [Project Matching Method] - From a wide range of client projects, we will assign you the most suitable project for your career advancement, taking into consideration your experience, skills, and preferences. - Commuting time will also be taken into consideration for client-based projects. [Research and Development Process] We solve complex technical challenges by repeating the following process with our clients. ・Listen to the customer's overall concept and the challenges they face. ・Research papers and other sources to find a breakthrough in resolving those challenges. ・Implement and evaluate the optimal algorithm based on the results of that research. ・Analyze the test results, report them to the customer, and identify and share the next challenge. By repeating this process at appropriate intervals, we solve complex technical challenges step by step. As a result, by applying the latest theories to actual problems, you will acquire practical theories and techniques that are actually useful. We also share and address project challenges through project leader meetings, etc. [Examples of R&D Projects] ◆Knowledge Processing ・Data Science ・Earth Surface Recognition System Using Deep Learning ・Machine Learning System for Natural Language Processing ・Optimization Algorithm Using Mathematical and Statistical Analysis ・Biochemical Reaction Simulation System ◆Image Processing ・Facial Image Processing Basic Algorithm ・Traffic Sign Recognition Algorithm for Automated Driving ・3D Image Recognition Technology ◆Natural Language Processing ・Technical Literature Search Application ・Development of New DNN Interface Functions for Speech Recognition ◆Other ・Control Systems for Inspection, Measurement, Robotics, etc. ・Ubiquitous Network Robot Technology

2026年卒