Backend Engineer (ML/AI field)
LINEヤフー株式会社
-
¥7,000,000 - 12,100,000
-
Tokyo
-
Over 10,000
-
Company Homepage
Job Summary
In the position of Backend Engineer (ML/AI field), we are looking for a wide range of business tasks such as the development and operation of large-scale machine learning systems and platforms, and the use of machine learning peripheral systems. We use development languages such as Python, Go, Java, and ML libraries such as TensorFlow and PyTorch, and we are looking for experience in large-scale data implementation and performance evaluation of platforms and frameworks.Company Info
LINE Yafu is a system that provides a framework for building and operating various data in real-time, and provides a system foundation that can be utilized by various data in real-time. Application developers can easily use data and provide an environment for building systems, maintaining data quality, security, and optimizing performance automatically.Duties
We will be responsible for the development and operation of large-scale machine learning systems at LINE Yafu, as well as the development and implementation of machine learning peripheral systems. In addition, we will also conduct the development of machine learning peripheral systems around the existing data platform, and the optimization of the implementation of AB test-based infrastructure and the development of ML/AI. Furthermore, we will not only be involved in the development and implementation of machine learning systems at the recommendation system team, but also in the in-house development of special quantity data storage systems and machine learning libraries.
Login to see all information about offers.
By registering with LabBase Plus you...

You can select from our vast stock of job offers.
- Can view all curation offers.
- Receive notifications of new offers added to curations.
- Possibly be scouted by corporations.
- Search for companies with unique technologies.
- Search for job offers in areas like inorganic chemistry material science.
Registration takes roughly 2 minutes