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#588 [Food-tech] Machine Learning / Image Recognition Engineer
This company develops various robots that highly integrate both hardware and software technologies in order to solve the labor shortages and low-productivity cost structures faced by many food companies and to provide people with food surprises and excitement through the creation of new food experiences.
Summary
Publication date: October 5, 2021
Tokyo or Aichi | Permanent | ¥4M - ¥8M
Job
[Company Information]
This company develops various robots that highly integrate both hardware and software technologies in order to solve the labor shortages and low-productivity cost structures faced by many food companies and to provide people with food surprises and excitement through the creation of new food experiences.
Currently, the company is developing products specialized for major restaurant chains, but the company plans to expand to the restaurant industry around the world through the development of versatile products. They are looking for new members who hope to digitally transform the untransformed foodservice industry, reform the labor shortage and cost structure that has been issued for many years, and create the next-generation foodservice industry together.
[Job description]
You will develop the system for robotics, combining new technologies such as image recognition technology, machine learning technology, and robotics technology.
・ Development and research and development of elemental technologies for 3D general object recognition that apply machine learning and deep learning
・ 3D point cloud using 3D depth sensor ・ Volume data processing and various analyzes
・ Development of image recognition technology for foodstuffs, ingredients, tableware, etc. that apply elemental technology
・ Design and development of image recognition system that works with robots and various mechanical mechanisms
・ Various data analysis applying deep learning, statistical machine learning, multivariate analysis, etc., and system software design and development using them
・ Human recognition and motion / flow line analysis using moving image recognition technology
[Requirements]
・ Conversational Japanese level (The interview can be done both in Japanese and English)
・ Deep knowledge and practical experience of machine learning (deep learning) (knowledge and development experience in the field of image recognition)
・ Deep knowledge of Python or C / C ++ and more than 3 years of work experience
・ Development experience on Linux (similar OS)
・ Development experience with OpenCV, Tensorflow, PyTorch, TensorRT, etc.
・ Practical experience of team development and experience of using tools such as git
[Preferable Requirements]
・ Experience in computer science or machine learning and related fields such as bachelor's degree / master's degree or higher, treatise presentation, etc.
・ Implementation experience of parallelization and high speed such as various GPU processing
・ Experience creating data sets for machine learning
・ Experience in developing machine learning software on edge devices
・ Development experience of machine learning on cloud and mobile
・ Knowledge and development experience of 3D image processing such as ROS, PCL, itk, vtk, RealSense, Kinect, libraries and equipment related to robot vision
[Conditions]
-Salary: 4〜8 million JPY
-Location: Tokyo or Aichi
-Social insurance covered (employment, occupational accidents, health, welfare pension)
-Periodical health check provided
-Transportation expenses covered (full payment)
-Trial period: 3 months (no change in condition during the period)
-Allowances are available for certificate acquisition and book purchase system
-Holiday/vacation: Saturday and Sunday / Holiday GW / Summer vacation / New Year's holiday / Paid leave 10 days (provided from 6 months after joining the company)
-Maternity and maternity leave / care leave / child nursing leave / marriage leave / menstrual leave are available
[About selection]
Documents required for application: Rirekish and shokumukeirekisho
Interview language: English and Japanese
Number of interviews (flow): 2 or 3 times
Application for overseas residents: Not possible
* May change depending on the situation of the candidate