|This posting is managed by:||
|Company Name||Company is not publicly visible|
IT (PC, Web, Unix) - Web Application SE
IT (PC, Web, Unix) - Programmer
IT (Mainframe) - Application SE
|Industry||Internet Services/ISP (Internet Service Provider)|
You will be active as a machine learning engineer / data scientist in an IT venture.
Recommendation logic optimization
→ We will continue to verify new logic itself, including logic that uses and applies collaborative filtering, deep learning, multi-armed bandits, etc., from the mechanism of pattern logic verification.
We are looking for people who can realize product creation together so that users can meet new challenges with services and products.
Language Go, Python
Analysis / scientific calculation library scikit learn, scipy, pandas, numpy
RDBMS MySQL (AWS Aurora)
Infrastructure, middleware, SaaS AWS, Akamai, Aerospike, Docker, Treasure Data
CI / DevOps Circleci, ansible
Monitoring Sentry, Datadog
Data analysis re: dash
Source code management git
Project management GitHub
Information sharing tool Slack
It has an engineer-oriented culture and is actively investing in technology.
We are also working to improve our technical capabilities by gathering strong external members including technical advisors.
We actively contribute to the engineer community both inside and outside the company.
Actively holding OSS activities and study sessions.
There is a culture of positive output, such as updating technical blogs, holding technical presentation competitions, and speaking at conferences.
＜Measures against passive smokimg＞
No smoking indoors allowed
Designated smoking area
9: 30-18: 30
Flex system (core time 11: 00-14: 00)
・ Software / Web application / Web system development experience (Programming languages: Java, Go, C ++, etc.)
・ Basic knowledge of machine learning and mathematics (probability statistics, linear algebra, etc.)
・ Computer science knowledge (algorithms, data structures, databases, networks, etc.)
・ Be able to analyze and make proposals after understanding the business
・ Development experience as a team
・ Experience solving machine learning to solve problems
・ Experience solving problems using distributed processing systems (Hadoop, Spark, etc.)
・ Skills that enable model derivation, system implementation, and performance evaluation based on business requirements with large-scale data
|English Level||Daily Conversation Level (TOEIC 475-730)|
|Japanese Level||Business Level(JLPT Level 2 or N2)|
|Salary||JPY - Japanese Yen JPY 5000K - JPY 10000K|
Full payment of transportation expenses
Housing assistance allowance
Daddy attendance vacation
Maternity checkup leave
Maternity checkup assistance
Supply the latest high-spec Macbook Pro * iMac can also be supplied for iOS development
Provide your favorite keyboard and mouse
Selectable chair system
Side job is possible (individual service development, technical advisor, etc.)
Book purchase costs
The company pays up to 10,000 monthly server costs for personal use
Library for employees
Lounge working environment with sofa and standing table
All you can drink coffee
Conference participation fee
2 days a week (Saturdays, Sundays and public holidays)
|Nearest Station||Roppongi 1-chome|