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
- 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.
Software Engineering
- 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)
Language
- Business Level English (Japanese skill is not required at all)
#engineer
#applicationsengineer
#technologyservicediv
#MLOps
#DataScience
#MLEngineer
Other Jobs from Rakuten
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 401 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got about 70,000 jobs from 5,000 vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 5,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say