Machine Learning Engineer(NLP/Generative AI Product)

【About the Company】

The company has engaged in various industry AI projects. We have clients in a wide range of industries, such as finance, manufacturing, retail, food and drink, education, healthcare, manufacturers and IT communications, with hundreds of cases. The company is rated as one of the Best Ventures to Work in Japan.

Based on the knowledge and know-how of each industry obtained from this wide network, we promise innovative proposals that exceed the industry and precedent. Many intelligent talents in the world are gathering into the company now.

【Job Description】

The company's engineers are divided into teams (guilds) in one of the following areas of technical expertise: image processing, structured data processing, natural language processing, mathematical optimization, and Robot &Automation, where they implement and improve learning models and algorithms.

In this position, you will work with natural language processing technology. In collaboration with the company's AI consultants, you will be involved in projects to solve customer issues using natural language processing technology, or in product development through the development of machine learning models.

【Oppotunities you will get in this position】
・You can catch up on domain knowledge as well as technical knowledge, as our project work to solve clients' problems covers multiple industries (multi-sector) and requires extensive knowledge of machine learning and natural language processing.
・You can deepen your knowledge of generative AI technologies by actively investing in the development of products that utilize generative AI, such as GPT.
・Sponsorship of the Association for Natural Language Processing and the Young Adult NLP Society (YANS) provides opportunities to interact with external communities related to NLP.
・NLP has speech engineers on staff, and you can be involved in research and development in the field of speech if you wish.
・Multiple machine learning related teams (image/optimization/structured data), so you can deepen your knowledge of a wide range of machine learning by collaborating with other guilds.
・Prof. Jun Suzuki, Professor of Graduate School of Information Science and Technology, Tohoku University, serves as an advisor and provides seminars and technical consultation opportunities.

【Career Steps】
・In addition to building a career in the technical area as a Tech Lead, you can also gain management experience as an Engineering Manager (EM) or Product Manager (PdM).

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【Working conditions & treatment】

Discretionary labor system (You can come office and go home anytime)


・Full holiday 2 day system (Saturday / Sunday) holidays
・Annual holiday over 120 days
・Refreshment holidays (5 days a weekday)
・New Year holidays
・Annual paid leave
・Return vacation (2 days a year: when family lives in a remote area over 1000 km)
・Condition leave (during trial period: 3 days)
・Marriage leave (person, child)
・Maternity leave
・Nursing care leave


・Doctoral Program Support System
・Various Social Insurance (Employee Pension, Health Insurance, Employment Insurance, Labor Accident Insurance)
・Commuting allowance (up to 35,000 yen / month)
・Business trip allowance
・Medical checkup
・Online medical consultation (first call)
・Book purchase (full company burden)
・Study session (once / weekly, during business hours)

【Required】
・Willingness to commit to society and business
・Ability to read English papers on machine learning/deep learning and understand and implement the algorithms
・Experience using machine learning/deep learning tools or libraries
・Experience programming in Python or other languages

【Preferred】
・Experience using AWS, Google Cloud, and other cloud environments
・Experience in product development
・Experience accepting papers for international conferences
・Experience in management