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Updated 2022-07-07
Activated 2022-07-04
Activated 2022-07-04
[No Japanese required] Lead machine learning engineer / Full remote work / Flextime / English required
- Recruiter
- Senior Level
- Flextime System
- Remote Work
- Online Interview
- Business Expansion
- International Team
- Company Language is English
- No Transfer
- Global Company
- Experience Welcome
- Visa Support Available
| This posting is managed by: | j Career Co.,Ltd. / 株式会社 j Career |
|---|---|
| Company Name | Company is not publicly visible |
| Job Type |
 IT (PC, Web, Unix) - Web Application SE IT (PC, Web, Unix) - Tech Lead/Lead Engineer |
| Industry | Telecommunications/Information Services |
| Location |
Asia
Japan
Tokyo
Shibuya
Asia Japan |
| Job Description |
Our company is mainly engaged in the research and development of quantized neural networks and the development of Efficiera, an accelerator to run such networks at high speed, in order to solve the problem of power consumption, which is a major barrier to the widespread use of deep learning. Due to the fact that we develop our own hardware, we are looking for a machine learning engineer who is proficient in deep learning and can lead projects that utilize it in order to develop models that run at high efficiency while meeting the limitations of our hardware. In particular, we are looking for a talented machine learning engineer who can develop highly practical deep learning models to realize edge AI that works in various industrial fields that require low-power devices, utilizing Efficiera. |
| Company Info |
We are an AI company with a multinational workforce. We were one of the first companies to recognize the need for machine learning and have been doing business based on machine learning for the past 10 years. In order to improve society with devices that use machine learning, we have developed high-quality machine learning models and hardware IP with high speed and high efficiency, and have overcome the challenges of the Jurai. We will continue to provide the world with key technologies for the future by taking a two-sided approach, not only software but also hardware, to create a better life. As I mentioned at the beginning, nationality is irrelevant, and both English and Japanese are spoken in the environment. The work environment is also designed to maximize each individual's abilities by providing a comfortable work environment with a domestic full remote work system and a flextime system. No smoking inside the building |
| Working Hours | Flex-time system (5:00~22:00, Standard working hours: 8h/day), no core time |
| Job Requirements |
Required Skills -Bachelor's degree in computer science, information technology, or a related field, or equivalent knowledge and experience -Experience in model design, development, and research using deep learning frameworks -Experience in systems and products design, development, and research using deep learning (2+ years) -Experience and knowledge in image processing and computer vision -Experience in project planning, specification, designing, and leading projects using deep learning and machine learning -Business level communication skill in Japanese or English Desirable Skills -Master's degree in computer science, information technology, or a related field, or equivalent knowledge and experience -Experience in developing deep learning models for image processing and computer vision -Understanding of computer architecture and experience in low-level programming -Experience in various model compilers and runtimes (TensorRT, TensorFlow Lite, OpenVINO, ONNX Runtime, etc.) -Experience in optimizing machine learning or deep learning models for embedded devices -Experience in getting accepted peer-reviewed research papers on machine learning and deep learning -Experience in machine learning competitions (e.g. Kaggle) and competitive programming (e.g. AtCoder) -Experience of launching products to market |
| English Level | Business Conversation Level (TOEIC 735-860) |
| Japanese Level | None |
| Salary | JPY - Japanese Yen JPY 7500K Over |
| Other Salary Description |
Complete with social insurance Transportation expenses Company regulations (actual expenses are settled according to the number of days at work. Monthly upper limit: 1-month commuter pass or 50,000 yen, whichever is lower) Education and training Bonus: Twice a year (paid according to company performance) Health management system (regular health check, stress check, chat health consultation service Carely, influenza vaccine injection / breast cancer / cervical cancer screening, etc. free of charge) Work-at-home allowance 5,000 yen / month |
| Holidays |
Complete weekly two-day system (Saturdays, Sundays, and holidays) Summer vacation Winter vacation Paid leave (granted for 5 days after 3 months of joining the company, granted for 5 days after 6 months) Refresh vacation Condolence leave Childcare leave |
| Job Contract Period |
Full-time employee * Usage period 3 months (no change in conditions) |
| Nearest Station |
9 minutes walk from Shibuya station 2 minutes walk from Shinsen station |
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