- 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.
Ruby (Ruby on Rails), Python, Vue.js, Vuex, Flutter, Swift
RDS(Aurora/MySQL), DynamoDB, Elasticsearch
AWS EC2, Beanstalk, Batch, Cognito etc
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.
Members with a background in technology, consulting, design, etc., who do not compromise on the complex challenges unique to the enterprise.
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.
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
[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