About PayPay

Minato-ku, Tokyo

With over 47 million registered users (as of May 2022), 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

Responsibilities

  • 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

Requirements

  • 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

Compensation

9 to 12 million JPY annually.

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