Machine learning engineer (Mobilite)
株式会社サイバーエージェント
- AWS
- Machine Learning
- Data Analysis
- GitHub
- Terraform
- Cloud
- MySQL
- Go
- MLOps
- Datadog
- Github Actions
- Snowflake
- Lambda
- Kaggle
- Aurora
- dbt
- Monitoring
- Development
- Python3
- Miro
- Data Infrastructure
- Machine Learning Model
- Modeling
- Backend
- ECS Fargate
- Deployment
- StepFunctions
- A/B Test
- Continuous Delivery
- transaction
- user behavior data
- advertising delivery log
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Tokyo
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1,001 to 10,000
Company Info
The data strategy department of a cyber agent analyzes and utilizes data to support business in a state where data infrastructure and various development and analysis tasks are performed. We support the growth of businesses that utilize data by implementing data infrastructure and various development and analysis tasks.Job Summary
In the recruitment of machine learning engineers (Mobilite), the implementation work of the most suitable optimization algorithm for advertising distribution system is the center. Using large-scale data related to advertising distribution, the development of machine learning models/Mobilite and the implementation of DSP, the construction of entry into the DSP, the introduction of CTR prediction of DSP, click-through rate prediction, analysis work including behavior data, and the introduction of machine learning platform Mobilite, and the construction of machine learning pipeline are included in the work.Duties
As a machine learning engineer in the AI business unit, we will be involved in cooperation with a major advertising agency, and will be responsible for the implementation of the most suitable optimization of advertising distribution system. For specific tasks, the implementation of machine learning models/Mobilite, the introduction of DSP, the introduction of CTR prediction of DSP, click-through rate prediction, analysis work including behavior data, the introduction of machine learning platform Mobilite, and the construction of machine learning pipeline are included. In addition, we will analyze advertising distribution logs and user behavior data, and utilize machine learning for the improvement/design of advertising distribution A/B test delivery and its analysis, continuous development of machine learning models, development of delivery/transaction/monitoring of machine learning models.Login to see all information about offers.
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