Recruit Detail
Find out more about the work we do, the experience and skills we can bring to the table, and our terms and conditions.
Company Name
Tome Research Institute Co., Ltd.
Job Type
AI Research Engineer
Work Detail
[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
Ideal Profile
[Required Qualifications and Experience] Applicants must have completed or dropped out of a doctoral program at graduate school and be able to join the company on April 1, 2026. (Joining in fiscal year 2025 is also acceptable.) - PhD status is not required. - Doctoral major is not required as long as the research content has a science element. - Strong interest in cutting-edge technology. - Skills acquired through doctoral research. - Problem-solving ability. - Logical thinking. - Practical mathematical knowledge, such as geometry and statistics (linear algebra, calculus, etc.). - No programming experience necessary, but willing to acquire skills and contribute to society in various fields through cutting-edge software research and development. - Japanese is not a first language, so we will provide Japanese language support. Native-level Japanese language proficiency (Japanese Language Proficiency Test (JLPT) N1) is required, enabling the ability to create documents and hold meetings in the native language. [Desired Profile] ・Someone who shares our company's management philosophy and can promote our work culture as described below. ◆A group of highly motivated engineers who aim to research and develop algorithms that solve complex technical challenges and develop systems that change society. ◆A group of engineers specializing in intelligent information processing technology, i.e., cutting-edge technology, who work tirelessly to solidify this foundation. ・A group of intellectually curious people. ・The ultimate joy of solving problems that we don't understand. ・To put it in extreme terms, relieving work fatigue by solving mathematical equations.
Work Location
Your lab assignment preference will be considered. (Even after joining the company, transfers due to company circumstances are not permitted.) ◆Tome Research Laboratory Lab ・Kyoto Lab: 85-1 Mikuracho, Nishiiru, Sanjo-dori, Nakagyo-ku, Kyoto ・Hiroshima Lab: 6-78 Motomachi, Naka-ku, Hiroshima ・Keihanna Lab: 1-7 Hikaridai, Seika-cho, Soraku-gun, Kyoto ・Nagoya Lab: 5-11-6 Kanayama, Naka-ku, Nagoya ・Tsukuba Lab: 1-1-1 Chuo, Kashiwa-shi, Chiba ・Yokohama Lab: 134 Kobe-cho, Hodogaya-ku, Yokohama ・Tokyo Lab: 3-2-1 Sakado, Takatsu-ku, Kawasaki ◆If you work at a client's site, your work location will be as follows. It must be within commuting distance of your home. Chugoku region: Hiroshima, Yamaguchi, etc. Kansai region: Kyoto, Shiga, Osaka, Nara, Hyogo, etc. Tokai region: Aichi, Gifu, Mie, etc. Kanto region: Tokyo, Kanagawa, Saitama, Chiba, Ibaraki, etc.
Phd. Stating Salary
[Salary] - Doctoral graduates: Monthly salary of 280,000 yen (an additional 20,000 yen allowance for field work) - Doctoral graduates with credits: Monthly salary of 280,000 yen (an additional 20,000 yen allowance for field work) - Full overtime pay provided separately - Trial period: 6 months after joining, with the same benefits as full-time hire
Selection Flow
■ Selection Process [First Selection] Screening at the time of application (profile information provided at the time of application, etc.) ↓ [Second Selection] Document screening (resume, research history, essay, skills checklist) ↓ [Third Selection] Interview screening (written test, company information, interview) ↓ [Offer]