AI engineer

Machine Learning, Deep Learning

About the company
This company is an AI venture founded in 2016.
Their mission is to support DX for all companies and organizations through AI-powered SaaS products.
AI structures text data that was previously difficult to analyze and converts it into valuable data. Utilizing internal and external text data, they support the transformation of an organization that truly faces customers.

Although the company has less than 60 employees, it scales three SaaS products at the same time.
A gathering of specialists in enterprise business, modern engineering and cutting-edge research.
This company aims to realize products that support the creation of new value for customers by enthusiastically discussing and fusing their knowledge while making the best use of their respective backgrounds.

<Technology stack>
[Programming language/Framework]
Ruby (Ruby on Rails), Python, Vue.js, Vuex, Flutter, Swift

RDS(Aurora/MySQL), DynamoDB, Elasticsearch

[Cloud services]
AWS EC2, Beanstalk, Batch, Cognito etc

[Other tool]
GitHub, Slack, JIRA, Datadog, miro, Figma etc
Corporate Culture
▼ Engineering
A diverse group of members who have experience in modern architecture design, web design, and app development in B2B and B2C, with a quest for cutting-edge technology and a perspective that constantly captures the latent needs of users.

▼ Business
Members with a background in technology, consulting, design, etc., who do not compromise on the complex challenges unique to the enterprise.

▼ Research
Members who continue to explore cutting-edge natural language processing machine learning, not only meeting the expectations for AI that have already become apparent, but also sticking to creating the future with technologies that lead to true customer value.
Global Aspects
  • Already foreign employee(s) working
Other details
  • Flex time system
  • Regular employee engagement survey
  • Structured On-boarding after you join the team
  • Values clearly defined
  • You can work from home
  • 360 degree evaluation system
  • No dress code
  • Evaluation system is established
  • Regular one-on-one
  • Flexible seating
  • Regular corporate event (once every month or more)
[Required role]
・ Implementation of Saas-type Web applications that have been introduced by more than 1,500 companies and recommendations and data analysis engines running within the company's applications.
Verification / implementation while following the latest machine learning / deep learning algorithms from a theoretical point of view.

[Job description]
Development of machine learning functions in AI x SaaS products

<< Details >>
・ Verification / implementation with Pytorch and TensorFlow of recommendation engine using Deep Learning algorithms such as ELMo and BERT
・ Design / development of data analysis / visualization engine such as automatic summarization using advanced machine learning algorithms
・ Development / implementation of machine learning engines (classifiers, predictors, generators) for individual businesses and services, and performance improvement

【Development environment】
[Language / Framework]
Swift , Vue.js , Typescript , Ruby(Rails) , Python(Tensorflow, Pytorch)

RDS(Aurora/MySQL) , DynamoDB , Elastic Search , Redis

[Infrastructure / Cloud infrastructure]
ElasticBeanstalk , Lambda , AWS Batch , Redshift , Docker

※Please note that the position is only for those who are currently residing in Japan only
・ Learned / utilized machine learning in research or practice
・ More than 2 years of practical development experience (or similar)
・ Master's degree in science (with machine learning), and have been involved in some kind of application development (practical experience in machine learning is not required)
Japanese Level
  • Business
・ Experience in research and actual service development in the field of natural language processing (NLP)
Type of people (Personality)
《Common to engineers》
・ People who are interested in technology and willing to become a leader in the field
・ People who are business minded and able to think about how to improve customer targeting and sales.
・ Development priorities and tasks can be considered from a management perspective

・ People who have the spirit of contributing to the advancement of technology
・ People who are positive
・ People who like math
・ People who like to follow and verify the latest theories from reading papers
Annual Expected salary (Minimum)
Annual Expected salary (Maximum)
Transporation cost coverage
  • Covered based on Company's set policy
Work hours
9:00 - 19:00
  • Yes
  • End of Year and New Year Holiday
  • Saturday
  • National Holiday
  • Sunday
  • Worker’s Accident Compensation Insurance (労災保険)
  • Health Insurance (健康保険)
  • Unemployment Insurance (雇用保険)
  • Welfare Pension Insurance (厚生年金保険)
Other benefits
  • You can choose your own PC type
  • Book purchase support
  • Free Coffee/Tea
・Remote work:
Basically full remote work.
Sometimes once a week employees will go to the office.

・Flex time: No core time.

-About 3 years of development experience: 5-8 million yen
-Lead engineer class: 8 million yen to 12 million yen