With the mission of making people’s daily cooking as fun activities, the company launched the cooking recipe site where people can publish their own favorite recipes. Now the number of recipes on the website has increased to 2.5 million and there are more than 60 million users per month.
The company not only provides services in Japan but also globally. They are particularly accelerating global team’s work.
The company also tries to work on diversifying the company’s main service using their core technology. For example, they have launched cooking classes where the company’s certified cooking teachers can hold their lessons at their home or cafes. The lessons are available to anyone without any membership registration fee.
They have launched the web media where Japanese food latest trend is shared. The media consists of interesting articles from people who are residing outside Japan, who love Japanese food, Washoku.
With the objective of improving every employee’s efficiency and making sure that everybody can perform to their best extent, the company takes “flex time” system. There is no core time that the company sets and each employee can decide their work hours fully.
Everyone can work in the way that he/she feels comfortable at. It is ok for people to wear headphone to work and everyone is allowed to work at free space etc.…
Everyone respects each one’s uniqueness. They respect cultural differences etc.
There is big kitchen area inside the office where the employees can use as communication tool or some trial cooking.
There are a lot of image data’s in the company. The photos are mainly posted from the users to explain the cooking process or the final food images etc.
As an image recognition engineer, you would be dealing with those images and making the services more convenient for the users.
You will be involved in developing various image recognition related technologies
Your projects will include, but not only limited to: categorize the final product images into each menu, cropping the recipe’s image photos, making assumption about the items to be used for each cooking process
Required skill set and experiences:
・Either you have graduated from master degree or above in the field related to image recognition or more than 3 years of development experience in image recognition
・You have minimum one year of experience in the following programming languages and frame work: Python, scikit-learn
・No Japanese is required
They welcome those:
・ Who have graduated from PhD degree in the filed related to image recognition
・ Who have published papers in the field of image recognition
・Who have more than half year of experience in the following: Ruby, OpenCV, Caffe, chainer, TensorFlow
They look for those:
・ Who are able to think from uerse’ perspectives
・Who are interested in developing services to make people’s lives more fun
・ Who can take initiative in finding the problems on his/her own rather than just working on assigned tasks
・Who are able to state his/her opinion
・With very flexibility and active mind set
・ Who have great adaptability in working with teams coming from diverse background
・Salary: To be disclosed upon your application, but very competitive (the exact salary to be decided based on your experiences and skill set)
・Bonus: once a year (but based on the company’s sales/profit)
・You can choose one of the followings: 1) Transportation cost to be covered up to 30,000 JPY monthly, 2) If you are residing within 1.5 km distance from the office, you will be provided 30,000JPY or 3) 10,000 JPY per month bike ride support
・ Various social insurances to be covered
*Please note that the position is only for those who are currently residing in Japan only*
If you are interested in this position, please apply here with the relevant Japanese and English CV/resume uploaded. Upon your submission of application, we will contact you for the follow-up questions to complete your application.
First the organization will be screening your resume and . If you have been selected for the next round interview, we will disclose you the name of the company.