This position is closed and is no longer accepting applications.

Machine Learning Engineer

PayPay Minato-ku, Tokyo
  • 💴 ¥9M ~ ¥12M annually
  • 🏡 Fully remote (from Japan)
  • 🧪 3+ years experience required
  • 💬 No Japanese required
  • 🌏 Apply from abroad
  • 🧳 Relocate to Japan

About PayPay

PayPay Minato-ku, Tokyo

With over 55 million registered users (as of February 2023), PayPay is the country’s most popular mobile wallet. Half of all of Japan's smartphone users are using it, and more than 2 billion payments made per year.

Key benefits

  • International engineering team
  • Japanese lessons on company time
  • Incredible scale

About the position


  • Research, design, and build machine learning systems for prediction, recommendation, and automation
  • Execute the key phases of the ML lifecycle including data extraction, exploratory data analysis, data preparation, model development and training, model evaluation and validation, and model serving
  • Build monitoring tools and pipelines for automated training and deployment
  • Collaborate with data scientists, data engineers, product managers, and stakeholders to build robust production systems


  • Bachelors in a quantitative field such as Computer Science, Mathematics, Statistics, Machine Learning, or equivalent
  • More than three years of experience as a data scientist, machine learning engineer, or equivalent role
  • Experience in at least one primary language (e.g., Java, Scala, Python) and SQL (any variant)
  • Experience in one or more machine learning frameworks such as TensorFlow, PyTorch, Theano, etc.

Nice to haves

These aren’t required, but be sure to mention them in your application if you have them.

  • Masters or PhD in a quantitative field such as Computer Science, Mathematics, Statistics, Operations Research, Machine Learning, or equivalent
  • More than five years of experience as a data scientist, machine learning engineer, or equivalent role
  • Experience building and maintaining microservices
  • Experience with Big Data technologies like BigQuery, Spark, Hadoop, AWS Redshift, Kafka, or Kinesis streaming
  • Experience with AWS services such as Glue, SageMaker, Athena, and S3
  • Extensive knowledge and work experience in recommendation systems, deep learning, NLP, and optimization
  • Experience maintaining data security and privacy
  • Expertise in MLOps frameworks, CI/CD pipelines, and automation


9 to 12 million JPY annually.

Meet PayPay's Developers

Ashwini leads one of PayPay’s payment sub-teams. She got there by doing something she’s done throughout her career: identifying something she wants to do and asking to do it.

Read her story...
Photo of Yoseph Savianto

iOS Development at PayPay

with Yoseph Savianto

Yoseph joined PayPay after being attracted to their mission of making Japan a cashless society. As an iOS Engineer, he originally joined their iOS feature team, but now works on their platform team, creating an internal SDK for their iOS and Android apps.

Read his story...

Shilei started working on PayPay before it launched, and has seen it grow into a product used by tens of millions of users. He explains how diversity has helped them overcome challenges, and what PayPay is looking for in candidates.

Read his story...
Photo of Adrian Mariadas

Refactoring PayPay’s Android App

with Adrian Mariadas

Adrian came to Japan to join PayPay as an Android Engineer. As the app has grown in scope, refactoring the codebase to ensure development can continue at a rapid pace has been a big part of his job.

Read his story...

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