-
Rakuten
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Machine Learning Engineer - Measurement & Insight Section, Analytics Data Engineering Department (ADED)
Japan
· Full-time
·
Not Applicable
Job Description
Department Overview
Following the strategic vision “Rakuten as a data-driven membership company”, we are expanding our data activities across our multiple Rakuten group companies.
Our mission is to provide data/AI related products to users to improve marketing efficiency and effectiveness.
Position
Why We Hire
We are looking for an experienced Machine Learning engineer who will contribute to the development of Rakuten’s data & AI products which deliver personalized experiences (including but not limited to: business areas of marketing, advertisement, targeting campaigns, and audience expansion, etc.)
Position Details
We are on the lookout for a Machine Learning Engineer with a strong experience in software engineering to join our team. This role is designed to merge the realms of machine learning and software engineering, focusing on the development of AI-driven products at scale.
The Machine Learning Engineer will be instrumental in transforming prototypes into production-level solutions, developing new features for our AI-driven products, and designing robust & scalable machine learning architectures.
Title
Machine Learning Engineer (or MLOps Engineer)
Job Level
Senior (at least around 7 year+ of professional experience or the equivalent skills)
Work Environment
Our Tech Stack
While we advocate for using the right technology for the right task, we often leverage the following technologies
Python, Django, Flask, Golang, REST, GraphQL, Docker, Kubernetes, Helm, Argo Workflow, Argo CD, Gitlab (CI), Sentry, Presto/Trino, Hive, Hadoop, Spark, Postgres, SQL/HQL, Kubeflow, etc.
Team
An international and diverse team with highly skilled engineers
Mandatory Qualifications
Machine Learning / MLOps
#applicationsengineer
#technologyservicediv
#MLOps
#DataScience
#MLEngineer
Department Overview
Following the strategic vision “Rakuten as a data-driven membership company”, we are expanding our data activities across our multiple Rakuten group companies.
Our mission is to provide data/AI related products to users to improve marketing efficiency and effectiveness.
Position
Why We Hire
We are looking for an experienced Machine Learning engineer who will contribute to the development of Rakuten’s data & AI products which deliver personalized experiences (including but not limited to: business areas of marketing, advertisement, targeting campaigns, and audience expansion, etc.)
Position Details
We are on the lookout for a Machine Learning Engineer with a strong experience in software engineering to join our team. This role is designed to merge the realms of machine learning and software engineering, focusing on the development of AI-driven products at scale.
The Machine Learning Engineer will be instrumental in transforming prototypes into production-level solutions, developing new features for our AI-driven products, and designing robust & scalable machine learning architectures.
Title
Machine Learning Engineer (or MLOps Engineer)
Job Level
Senior (at least around 7 year+ of professional experience or the equivalent skills)
Work Environment
Our Tech Stack
While we advocate for using the right technology for the right task, we often leverage the following technologies
Python, Django, Flask, Golang, REST, GraphQL, Docker, Kubernetes, Helm, Argo Workflow, Argo CD, Gitlab (CI), Sentry, Presto/Trino, Hive, Hadoop, Spark, Postgres, SQL/HQL, Kubeflow, etc.
Team
An international and diverse team with highly skilled engineers
Mandatory Qualifications
Machine Learning / MLOps
- Educational Background: Bachelor's degree or higher (Masters or Ph.D. preferred) in Computer Science, Machine Learning, Physics, Mathematics, Statistics, or a similar quantitative field.
- High level understanding of modern MLOps trends
- High level mathematical understanding of general machine learning models
- Proficiency in using at least one of modern ML frameworks such as TensorFlow, PyTorch, or Keras, etc.
- Experience in full lifecycle in production development: from (large scale) data pipelines to model training, inference APIs (both batch and real-time), and model version control & tracking/observability, including overall solution design optimizations.
- High level of familiarity with the full web stack
- Expert/Senior level in at least one of the major/modern computer languages including but not limited to Python, C/C++, Java, or Go, etc.
- Experience with modern CI/CD processes & DevOps
- Experience with Cloud Native Technologies (E.g. Docker, Kubernetes)
- Business Level English (Japanese skill is not required at all)
#applicationsengineer
#technologyservicediv
#MLOps
#DataScience
#MLEngineer
Key Skills
Ranked by relevance
machine learning
ai
docker
mlops
cloud native
kubernetes
prototypes
tensorflow
gitlab ci
kubeflow
graphql
pytorch
python
django
golang
gitlab
hadoop
flask
cloud
keras
spark
java
cicd
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- Posted
- Jan 05, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Tokyo
- Company
- Rakuten
Industries
Consumer Services
IT Services
IT Consulting
Technology
Information
Internet
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
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2025-09-17
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View Job Details
Related
Intern Cloud Engineer
2025-08-14
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View Job Details
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Full-stack Developer
2025-04-22
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